Search results โ€œZero iteration count oracleโ€
Coding Challenge #141: Calculating Digits of Pi with Mandelbrot Set
Happy belated Pi Day once more! Here I attempt to approximate Pi using a special location in the Mandelbrot set. The programming environment is Processing (Java). ๐Ÿ’ป https://thecodingtrain.com/CodingChallenges/141-mandelbrot-pi ๐Ÿ”— The World of Pi: http://www.pi314.net/eng/ ๐Ÿ”— BigDecimal: https://docs.oracle.com/javase/7/docs/api/java/math/BigDecimal.html ๐Ÿ”— Mandelbrot Image: Created by Wolfgang Beyer with the program Ultra Fractal 3. - Own work: https://en.wikipedia.org/wiki/Mandelbrot_set#/media/File:Mandel_zoom_00_mandelbrot_set.jpg ๐ŸŽฅ Mandelbrot Set with p5.js: https://youtu.be/6z7GQewK-Ks ๐ŸŽฅ Fourier Series: https://youtu.be/Mm2eYfj0SgA ๐ŸŽฅ Pi and the Mandelbrot Set - Numberphile: https://youtu.be/d0vY0CKYhPY ๐ŸŽฅ Calculating Digits of Pi with Collisions: https://youtu.be/PoW8g67XNxA ๐ŸŽฅ 12 Hour Live Stream (last 4 hours sadly cut-off): https://youtu.be/PIeKyP97EUc ๐Ÿš‚ Website: http://thecodingtrain.com/ ๐Ÿ’– Patreon: https://patreon.com/codingtrain ๐Ÿ›’ Store: https://www.designbyhumans.com/shop/codingtrain/ ๐Ÿ“š Books: https://www.amazon.com/shop/thecodingtrain ๐ŸŽฅ Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH ๐ŸŽฅ Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA ๐Ÿ”— p5.js: https://p5js.org ๐Ÿ”— Processing: https://processing.org
Views: 37051 The Coding Train
Real-World Performance - 6 - Leaking Cursors
Check out the entire series on the Oracle Learning Library at http://www.oracle.com/goto/oll/rwp In this video, listen and watch Andrew Holdsworth, Vice President of Oracle Database Real-World Performance at Oracle Corporation, as he demonstrates how leaking cursors affect performance. Copyright ยฉ 2014 Oracle and/or its affiliates. Oracleยฎ is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement
Write a program to print prime numbers between 1 to 100
There is a minute mistake in this program, Outer for-loop is running for 1 to n and due to this 1 is also coming in output which is not a prime number. Rest of logic is fine. You just need to run outer for-loop from 2 to n in order to correct the program. I already tried to fix it but did't find the way Please just how can I inform about this mistake for new visitors.
Views: 233125 Get Placed
Taskar Memorial Lecture 2018: M. Jordan (UC, Berkeley)
On Gradient-Based Optimization: Accelerated, Stochastic and Nonconvex Abstract: Many new theoretical challenges have arisen in the area of gradient-based optimization for large-scale statistical data analysis, driven by the needs of applications and the opportunities provided by new hardware and software platforms. I discuss several recent, related results in this area: (1) a new framework for understanding Nesterov acceleration, obtained by taking a continuous-time, Lagrangian/Hamiltonian/symplectic perspective, (2) a discussion of how to escape saddle points efficiently in nonconvex optimization, and (3) the acceleration of Langevin diffusion. Bio: Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive and biological sciences. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. This video is closed captioned.
Views: 2877 Paul G. Allen School
Planar Graph Perfect Matching is in NC
Is matching in NC, i.e., is there a deterministic fast parallel algorithm for it? This has been an outstanding open question in TCS for over three decades, ever since the discovery of Random NC matching algorithms. Within this question, the case of planar graphs has remained an enigma: On the one hand, counting the number of perfect matchings is far harder than finding one (the former is #P-complete and the latter is in P), and on the other, for planar graphs, counting has long been known to be in NC whereas finding one has resisted a solution! The case of bipartite planar graphs was solved by Miller and Naor in 1989 via a flow-based algorithm. In 2000, Mahajan and Varadarajan gave an elegant way of using counting matchings to finding one, hence giving a different NC algorithm. However, non-bipartite planar graphs still didn't yield: the stumbling block being odd tight cuts. Interestingly enough, these are also a key to the solution: a balanced tight odd cut leads to a straight-forward divide and conquer NC algorithm. However, a number of ideas are needed to find such a cut in NC; the central one being an NC algorithm for finding a face of the perfect matching polytope at which $\Omega(n)$ new conditions, involving constraints of the polytope, are simultaneously satisfied. See more at https://www.microsoft.com/en-us/research/video/planar-graph-perfect-matching-is-in-nc/
Views: 964 Microsoft Research
CS50 2018 - Lecture 8 - SQL
00:00:00 - Introduction 00:00:50 - Hackathon Teaser 00:02:23 - Week 7 Recap 00:05:35 - C$50 Finance 00:07:47 - Cookies 00:15:46 - store 00:22:22 - Databases 00:27:15 - Mock Database 00:29:07 - SQL 00:39:32 - SQLite 00:51:52 - phpLiteAdmin 01:12:54 - lecture 01:38:39 - Race Conditions 01:45:57 - SQL Injection Attacks
Views: 23724 CS50
Support Vector Machines - The Math of Intelligence (Week 1)
Support Vector Machines are a very popular type of machine learning model used for classification when you have a small dataset. We'll go through when to use them, how they work, and build our own using numpy. This is part of Week 1 of The Math of Intelligence. This is a re-recorded version of a video I just released a day ago (the audio/video quality is better in this one) Code for this video: https://github.com/llSourcell/Classifying_Data_Using_a_Support_Vector_Machine Please Subscribe! And like. And comment. that's what keeps me going. Course Syllabus: https://github.com/llSourcell/The_Math_of_Intelligence Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ More Learning resources: https://www.analyticsvidhya.com/blog/2015/10/understaing-support-vector-machine-example-code/ http://www.robots.ox.ac.uk/~az/lectures/ml/lect2.pdf http://machinelearningmastery.com/support-vector-machines-for-machine-learning/ http://www.cs.columbia.edu/~kathy/cs4701/documents/jason_svm_tutorial.pdf http://www.statsoft.com/Textbook/Support-Vector-Machines https://www.youtube.com/watch?v=_PwhiWxHK8o And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 163076 Siraj Raval
Data consistency with Multi-path updates - The Firebase Database For SQL Developers #7
Check out our blog posts for more information: - https://goo.gl/l2Nxo8 - https://goo.gl/GSCn60 Welcome to the seventh video in the Firebase Database for SQL Developers series! Denormalization is great for increasing read and query performance, but it comes with the cost of data consistency. But have no fear! Multi-path updates can give you consistency with your denormalization. With the aid of lookup paths, you'll be able to copy data to multiple places and keep it all consistent. Watch more videos from this series: https://goo.gl/ZDcO0a Subscribe to the Firebase Channel: https://goo.gl/9giPHG
Views: 44643 Firebase
Exploring Java 8 Streams
Java 8 brought a number of new features to Java, one of those features was the Streams API. This API brought an easy way to create functional style list manipulation elements using a simple API. This is extremely powerful and allows you to create extremely complex interactions with relatively little code. For those familiar with C#, the Java Streams API offers a core feature set very similar to what you can do with LINQ. Certain syntactic limitations exist as well as a lack of extension methods to easily expand the system. Java solves these differences in other ways. The java Stream javadocs are here: https://docs.oracle.com/javase/8/docs/api/java/util/stream/Stream.html Curious about the Reactive Extensions and how they're different? Check out the video on building Fizz Buzz using JavaRX: https://youtu.be/ZTqIg-Fk2n4 Discord: https://discord.gg/hU5Kq2u
Views: 7564 World of Zero
19. Dynamic Programming I: Fibonacci, Shortest Paths
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Erik Demaine License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 968009 MIT OpenCourseWare
Firebase Database Querying 101 - The Firebase Database For SQL Developers #3
Learn more about qureying in the official documentation: https://goo.gl/iLDAvS Welcome to the third video in the Firebase Database for SQL Developers series! Querying may be less powerful in NoSQL databases than compared to SQL databases, but there's still a lot you can do with the Firebase Database. Watch more videos from this series: https://goo.gl/ZDcO0a Subscribe to the Firebase Channel: https://goo.gl/9giPHG
Views: 107455 Firebase
How Oracle Argus Safety Migrations Work
Learn how to migrate to Oracle's Argus Safety. -- Is your organization considering migrating to Argus Safety, Oracle's comprehensive safety and pharmacovigilance system? Then you probably already know that moving and reformatting legacy adverse event cases can be a major bottleneck. BioPharm, with our partner, Valiance, can quickly automate and streamline many aspects of the migration and implementation process without resorting to custom scripts, existing APIs, and time-consuming manual tasks. From the assessment and strategy to the complete migration and verification of adverse event cases from your source system (e.g., AERS, ARISg, Excel, Trace, Custom, etc.), leveraging our tried-and-true methodologies and technologies helps you accelerate the entire process with confidence. Please join BioPharm's Dr. Rodney Lemery and Valiance's Richard Wells for a free one-hour webinar that will explore: -- The types of risks and challenges associated with safety data system migrations, including those related to Japan and other countries -- How to successfully approach a safety and pharmacovigilance system migration and implementation project -- The benefits of pre-configured migration software and automated 100% migration testing -- Examples of past migration and implementation projects -- Your own migration questions and challenges To view this webinar in its entirety, please visit: https://cc.readytalk.com/r/c281688i2iki&eom Twitter: http://www.twitter.com/BioPharmSystems Facebook: http://www.facebook.com/BioPharmSystems LinkedIn: http://www.linkedin.com/companies/biopharm-systems-inc Google+: https://plus.google.com/+BioPharm
Views: 1969 BioPharmSystems
19. Discovering Quantitative Trait Loci (QTLs)
MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014 View the complete course: http://ocw.mit.edu/7-91JS14 Instructor: David Gifford This lecture is guided by the question "Where is missing heritability found?" Prof. David Gifford discusses computational models that can predict phenotype from genotype. He then discusses how to discover and model quantitative trait loci. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 17330 MIT OpenCourseWare
Offloading & CUDA: Parallelism in C++ #3/3 (also OpenMP, OpenACC, GPU & Coprocessors like Xeon Phi)
Computer programs can be made faster by making them do many things simultaneously. Letโ€™s study three categorical ways to accomplish that in GCC. In the third episode, we study ways to offload code to various accelerators such as GPU on a graphics card. We also explore CUDA. The previous episode can be found at: https://www.youtube.com/watch?v=MfEkOcMILDo As a plot device in this tool-assisted education video, a Mandelbrot fractal is rendered. Twitter: https://twitter.com/RealBisqwit Liberapay: https://liberapay.com/Bisqwit (alternatives at https://iki.fi/bisqwit/donate.html) Twitch: https://twitch.tv/RealBisqwit Homepage: https://iki.fi/bisqwit/ OpenMP HQ: http://www.openmp.org/ OpenACC HQ: https://www.openacc.org/ You can contribute subtitles: https://www.youtube.com/timedtext_video?ref=share&v=kIA_UtdVabQ All downloads and compilation instructions: โ€” https://github.com/bisqwit/cpp_parallelization_examples Background music: โ€” Aoki Densetsu Shoot-bang โ€” Game 01 โ€” Kennosuke Suemura โ€” Energy Breaker ยญโ€” Golden-Colored Wind โ€” Yukio Nakajima โ€” Tales of Phantasia ยญโ€” I Miss You โ€” Motoi Sakuraba All music is played through OPL3 synthesis. Sound effects and foley are mostly from YouTube Audio Library. Some are recorded from video games like The Guardian Legend, Duck Hunt, Earthbound, and Super Mario All-Stars. Peter Penguin and Hazel Hopkins are characters of the Hackles webcomic which is ยฉ Drake Emko & Jen Brodzik. You can read it at: http://hackles.org/cgi-bin/archives.pl?request=1 #Bisqwit #Parallelism #Tutorial #Programming #Offloading #CUDA #NVidia #VectorCalculation
Views: 30798 Bisqwit
ืœื™ื™ื‘ ืคื•ืจื˜ื ื™ื™ื˜ | ืคื•ืจื˜ื ื™ื™ื˜ ื—ื–ืจ |  ื ืฉืง ื—ื“ืฉ| ืงื•ื“ ื‘ื—ื ื•ืช HOLLYMIKE
ืจื•ืฆื™ื ืœืชืจื•ื ืœื™ ื‘ื—ื™ื ื? ื•ืœื”ื•ืคื™ืข ืขืœ ื”ืžืกืš ื ื™ืชืŸ ืœื‘ืฆืข ื–ืืช ืคืขื ื‘ 15 ื“ืงื•ืช :https://loots.com/en/tip-jars/hollymike Support the stream: https://streamlabs.com/hollymikechannel โ—„ ืงื•ื“ ื‘ื—ื ื•ืช hollymike ืœื›ืœ ืžื™ ืฉืจื•ืฆื” ืžื•ื–ืžืŸ ืœืฉื™ื โ—„๐Ÿ’ฒSupport the streamโœ”๏ธ: โ—„Donations : https://goo.gl/Sd69z3 -Paypal - ืœืชืจื•ืžื•ืช ื“ืจืš ืคื™ื™ืคืืœ โ—„Donations : https://goo.gl/tpDGH9 -Visa card - ืœืชืจื•ืžื•ืช ื“ืจืš ื›ืจื˜ื™ืก ืืฉืจืื™ โ—„Donations Cant Be Refund --------------------------------------------------------------------------- โ—„ืงืฆืช ืขืœื™: โ—„ืฉื: ืžื™ื™ืง โ—„ื‘ืŸ:29 โ—„ืขื™ืจ: ื‘ืช ื™ื โ—„ืขื“ื”: ืืจืžื ื™ โ—„ื”ื™ื™ืชื™ ื’ืจ ื‘ืืจืฆื•ืช ื”ื‘ืจื™ืช ืขื“ ืœืคื ื™ ืฉื ืชื™ื™ื ื—ื–ืจืชื™ ืœืืจืฅ! โ—„ื‘ื—ื•ืจ ื—ืชื™ืš ืขื ืขื™ื ื™ื™ื ื›ื—ื•ืœื•ืช ื•ืžื‘ื˜ื ืกืงืกื™ ืขื•ืฉื” ืฉื™ื“ื•ืจื™ื ื™ื•ืžื™ื™ื ื‘ืื™ื›ื•ืช ื”ื›ื™ ื˜ื•ื‘ื” ื‘ืืจืฅ ,ืฉื—ืงืŸ ืกื‘ื™ืจ ืคืœื•ืก ! โ—„ื’ื™ื™ืžื™ื ื’ ื–ื” ื”ืชื—ื‘ื™ื‘ ืฉืœื™ -------------------------------------------------------------------------- โ—„ ื”ืžืคืจื˜ ืฉืœื™ : โ—„Intel core i9-7940x 3.10 Ghz 14-core โ—„MotherBoard Asus Deluxe Prime x-299 โ—„32Ram RGB corsair 3000 mhz 15LC โ—„Dual EVGA Geforce GTX 1080Ti ftw3 x2 โ—„SSD 950 PRO m.2 512GB โ—„Hydro Series H115i CPU Cooler โ—„HX1200i Power Supply โ—„Crystal Series 570X RGB ATX mid-tower โ—„Microphone Blue Yeti โ—„Sound Card Creative Sound Blaster r3 โ—„Headset Sennheiser gsp 300 โ—„Mouse Roccat Kone XTD / Zowie FK1+ โ—„Keyboard Corsair k70 / Logitech G513 โ—„Corsair Chair T1 Race Gaming โ—„Camera Logitech Pro Streaming c920 -------------------------------------------------------------------------- ืžื•ื–ืžื ื™ื ืœื”ืฆื˜ืจืฃ : โ—„๐Ÿ‘จ๐Ÿพโ€๐Ÿ’ป Instagram: https://goo.gl/dukNGq โ—„๐Ÿ”ฎ My Twitch : https://goo.gl/cidhhb โ—„๐Ÿค My Twitter : https://goo.gl/7YpXfP โ—„๐Ÿ’พ Join my own Discord : https://discord.gg/TpA8Za9 โ—„๐Ÿ’Œ My Mail : [email protected] ืคืงื•ื“ื•ืช ืœื‘ื•ื˜- ----------------------------------- ๐Ÿ”ด !youtube โ˜Ž๏ธ !discord ๐ŸŽฎ !steam ๐Ÿ’ป !mypc ๐Ÿ“œ !rules ๐Ÿ’ฐ !donate ๐Ÿ† !win ๐Ÿ”” !instagram ๐ŸŽ‡!coins ๐Ÿ“€!Bet 1/2 (coins) ื”ืžืขืฆื‘ื™ื ืฉืœ ื”ืขืจื•ืฅ: โœ๏ธ ------------------------------------- Mr.Spider
Views: 9288 HollyMike
Java Tutorial for Beginners | Java Programming Tutorial | Java Basics | Java Training | Edureka
( Java Training - https://www.edureka.co/java-j2ee-soa-training) This Edureka Java tutorial (Java Blog Series: https://goo.gl/12JH8n) will help you in understanding the various fundamentals of Java in detail with examples. Check out our Java Playlist: https://goo.gl/ES3dI3 This video helps you to learn following topics: 1:30 Introduction to Java 5:09 Why learn Java? 11:33 Features of Java 19:02 How does Java work? 27:38 Data types in Java 36:06 Operators in Java 46:00 Control Statements in Java 1:15:01 Arrays in Java 1:22:00 Object Oriented Concepts in Java Subscribe to our channel to get video updates. Hit the subscribe button above. #Java #Javatutorial #Javaonlinetraining #Javaforbeginners How it Works? 1. This is a 7 Week Instructor led Online Course, 45 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Advanced Java J2EE and SOA training and certification course is designed for students and professionals who want to be a Java Developer. This is a 42 hour course which will cover both core and advanced Java concepts like Database connectivity, Threads, Exception Handling, Collections, JSP, Servlets, XML Handling etc. We will also learn various Java frameworks like Hibernate and Spring. During our Java/ Certification training, our instructors will help you: 1. Develop the code with various Java data types, conditions and loops. 2. Implement arrays, functions and string handling techniques. 3. Understand object oriented programming through Java using Classes, Objects and various Java concepts like Abstract, Final etc. 4. Implement multi-threading and exception handling. 5. Use parse XML files using DOM and SAX in Java. 6. Write a code in JDBC to communicate with Database. 7. Develop web applications and JSP pages. 8. Interact with the database using hibernate framework. 9. Write code with spring framework components like Dependency Injection and Auto Wiring. 10. Implement SOA using web services. - - - - - - - - - - - - - - - - - - - Who should go for this course? This course is designed for professionals aspiring to become Java Developers. Programmers, Web Developers, Web Designers, Programming Hobbyists, Database Administrators, Youngsters who want to kick start their career are the key beneficiaries of this course. - - - - - - - - - - - - - - - - Why learn Java? Java is a general-purpose, class-based, object-oriented computer programming language that was designed by James Gosling at Sun Microsystems in 1995. Key Highlights of Java: Platform Independent: This allows programmers to develop applications that can run on any operating system. Usability of Java: Java is most widely used programming language. It is present everywhere. It really doesn't matter which domain you are working in, you will surely come across Java sooner or later! Open Source: The good news is that Java is available for free! All the development tools and the environment (JRE & JDK) that is used to develop Java applications are absolutely free of cost. Android: Irrespective of the fact that you are tech savvy or not, most of us are badly bitten by the Android bug! Android is in great demand today and fortunately you need Java for Android development. Hence, the importance of Java has increased even more. Hadoop: Hadoop is one of the most trending framework for processing Big Data. It has been designed and developed in Java. In spite of having a tough competition on the server side from Microsoft and other companies, Java is doing extremely well on mobile platforms, thanks to Android! It has also been the primary language for Hadoop Developers. For Java Training and Certification, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Telegram: https://t.me/edurekaupdates
Views: 443378 edureka!
Board of County Commissioners: Regular Meeting - 04.17.19
Welcome to the Board of County Commissioners: Regular Meeting - 04.17.19 Click "SHOW MORE" to view the agenda as well as other information. [00:03:40] RECOGNITION -2019 Theodore Roosevelt Hillsborough Forever Conservation Award [00:21:40] PROCLAMATION-April is Child Abuse Prevention Month [00:29:30] COMMENDATION-2019 Hillsborough County Women's Hall of Fame [00:40:30] COMMENDATION-Tampa Bay Technical HS Girls Basketball Team [00:47:35] Changes to Agenda [00:52:10] Public Comments [01:36:34] Consent Agenda Approval [01:37:45] Item D-1: To Amend the Animal Services Fee Schedule Policy [01:38:23] Item D-2: Animal Control Ordinance [01:39:23] Item D-3: Creek Preserve Subdivision [01:40:32] Item D-4: Belmont Townhomes Parcel C Subdivision [01:42:00] Item F-10: Tampa Bay Estuary Program Director Ed Sherwood [01:50:33] Item F-4: Hillsborough County's State Legislative Program [02:09:33] Item F-6: 6th % Tourist Development Tax [02:33:50] Item F-2: Authorize a pilot cat rescue sterilization program [04:30:39] Item F-9: Pilot Awareness Training Program by the US Institute Against Human Trafficking [04:55:30] Item F-5: Institute of Applied Engineering [05:25:30] Item E-1: Martine Collier, Executive Director, Arts Council of Hillsborough County [05:37:30] Item F-11: Little Manatee South area [05:44:30] Item F-12: New Interstate 75 interchange affecting the Little Manatee South Community [05:48:30] Item B-1: Approve a Funding Agreement with Florida Housing Coalition, Inc [05:51:30] Item B-2: Approve Board of County Commissioners' Rules of Order [06:26:30] Item B-3: Hillsborough County Budget Development Process Study Report [06:28:30] Item B-4: Approve the East 131st Avenue Improvements Project [06:32:30] Item B-5: Allocating up to $75,000 to Housing First Steps Forward, Inc [06:33:30] Item B-6: Realign Public Utilities Department FY 2019 Capital Improvement Program [06:34:30] Item C-1: Presentation on the Reorganization of the County Administrator's Office FY 2019 [06:49:30] Item C-2: Presentation to the BOCC on the FY 20 - 21 Budget Process. [07:22:30] Item F-1: Arts Council of Hillsborough County [07:24:30] Item F-3: Policy for BOCC consideration [07:38:30] Item F-7: Zero Tolerance for Human Trafficking [07:47:30] Item F-8: Health in All Policies Resolution [07:50:30] Item G-1: To address hourly lodging rentals in an effort to curtail human trafficking [07:52:30] Item G-2: Report from the Department of Head Start/Early Head Start [07:54:30] Item G-3: Naming a playground at All People's Life Center for Becki Forsell [07:56:30] Item G-4: Receive a report on residential solid waste collection services [08:01:30] Future Items [08:04:30] Public Comments
Chapter 4: Using a loop to keep a running total
Shows how to keep a running total using a for loop. From: http://cs.simpson.edu/cmsc150/index.php?chapter=loops#section_4.1.3
Views: 29253 Professor Craven
Efficient Second-order Optimization for Machine Learning
Stochastic gradient-based methods are the state-of-the-art in large-scale machine learning optimization due to their extremely efficient per-iteration computational cost. Second-order methods, that use the second derivative of the optimization objective, are known to enable faster convergence. However, the latter has been much less explored due to the high cost of computing the second-order information. We will present second-order stochastic methods for (convex and non-convex) optimization problems arising in machine learning that match the per-iteration cost of gradient-based methods, yet enjoy the faster convergence properties of second-order optimization overall leading to faster algorithms than the best known gradient-based methods. See more at https://www.microsoft.com/en-us/research/video/efficient-second-order-optimization-for-machine-learning/
Views: 1542 Microsoft Research
Quiz 2 Review Session | MIT 6.00SC Introduction to Computer Science and Programming, Spring 2011
Quiz 2 Review Session Instructor: Mitchell Peabody View the complete course: http://ocw.mit.edu/6-00SCS11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 23075 MIT OpenCourseWare
The Dark Knight - Joker Burns Money (FULL)
The FULL scene from TDK where The Joker burns the money of the mob. Copyright: Warner Bros. 2008 R.I.P. Heath ledger
Views: 662904 JokDon
Record attendance in Excel with a time stamp function
An easy way to record attendance is with a bar code reader or student id number and Excel. This tutorial shows how to use iteration to stamp the time of entry for a cell which then can be used to indicate a student's attendance. Example spreadsheet available at http://fs.50webs.com/files/attendance-distributable.xlsx more information available on my website http://twict.net/excel-timestamping
Views: 67550 twictnet
Monte Carlo Simulation - NPV example
To Download , send me an email to [email protected] Recommended Books at Amazon: Building Winning Algorithmic Trading Systems, + Website: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading) https://amzn.to/2DAxOyZ Explorations in Monte Carlo Methods (Undergraduate Texts in Mathematics) https://amzn.to/2TfBCe2 Follow me at LINKED IN: www.linkedin.com/in/luisolano Monte Carlo Simulation in NET PRESENT VALUE (NPV) Donations - this free info help you? we welcome donations! BTC 19QDxq4rKBWpZgU8doLtkvwZrhdiL6HNx7 ETH 0x9E4cea5f4aF2DCB263b83826E5172099d280205f LTC LYXjQTEeMPx96tdFJv94rGhWAnjAMERbSZ DSH XxVmueKYeT3sypZJep9eRQxhowpzARhHF5 DCR DsnT6SejtePMgFemgk1k2cALSX1NqwMjTq6 OMG 0x9E4cea5f4aF2DCB263b83826E5172099d280205f Let me know your comments, Thanks......
Views: 151958 Luis Olano
What is a Clinical Trial Management System (CTMS)?
Learn the basics of clinical trial management systems (CTMS). -- If you've ever wondered what a CTMS is, how one is beneficial, or how to select and implement one, then this webinar is for you. Join BioPharm Systems' Param Singh, vice president of clinical trial management solutions, for this one-hour session that will provide you with a basic understanding of clinical trial management systems. This webinar will answer the following questions: -What is a CTMS? -Which types of organizations need one? -How do you choose one? -How do you decide on an implementation strategy? -What are the best practices to consider for implementation? -What are some implementation pitfalls to avoid? To view this webinar in its entirety, please visit: http://www.biopharm.com or https://cc.readytalk.com/r/1s0dn4vwxki. Twitter: http://www.twitter.com/BioPharmSystems Facebook: http://www.facebook.com/BioPharmSystems LinkedIn: http://www.linkedin.com/companies/biopharm-systems-inc
Views: 15258 BioPharmSystems
Conditional display of a column based on its data
This video how-to shows basic concepts around conditional display of a column in a Table object, based on its data. This example is based on Jaspersoft Studio 6.0.1 but it should work (possibly with little editing) on recent releases, such as 5.x. See: http://community.jaspersoft.com/wiki/conditional-display-column-based-its-data
Views: 18611 Jaspersoft Embedded BI
Recursive Fibonacci Example
Using recursion to write a fibonacci function
Views: 105203 Khan Academy
PlayStation Presents - PSX 2017 Opening Celebration | English CC
Join us as we kick off PSX 2017 with PlayStation Presents, starting at 8 PM Pacific on Friday December 8th. Listen in on candid discussions with some of PlayStationโ€™s top developers, get the latest on some of the biggest games coming in 2018, and be the first to witness some special announcements.
Views: 310650 PlayStation
Google I/O 2011: Java Puzzlers - Scraping the Bottom of the Barrel
Josh Bloch, Jeremy Manson How can they do it? How can Josh Bloch and Jeremy Manson keep coming up with such great programming puzzlers year after year? They can't! In this, the eighth installment of the perennial crowd pleaser, Click and Hack the Type-It brothers are truly scraping the bottom of the barrel. But the dregs they come up can still astonish, delight, and educate. So come to "Java Puzzlers,โ€”Scraping the Bottom of the Barrel, have some fun, and learn to avoid the traps and pitfalls in the Java programming language. One of these puzzlers is about regular expressions, whose performance is a rich topic with many surprises. For background and details, see http://swtch.com/~rsc/regexp/regexp1.html.
Views: 55628 Google Developers
A Unifying Theory of First-Order Methods and Applications
First-order methods in optimization have become the workhorse tool in modern data-driven applications. Although various general methods with optimal iteration complexities have been known for decades, their standard analysis often appears unintuitive. In this talk, I will present a simple unifying framework based on the numerical discretization of a continuous-time dynamics. Further, I will present a novel accelerated method that is naturally obtained from this framework. The method matches the iteration complexity of the well-known Nesterovโ€™s method, and is, in some cases, more stable under noise-corrupted gradients. Time permitting, I will talk about other applications of the framework, such as in obtaining width-independent parallel algorithms for problems with positive linear constraints, and the extensions of the framework to various settings, including that of block coordinate descent. See more at https://www.microsoft.com/en-us/research/video/a-unifying-theory-of-first-order-methods-and-applications/
Views: 1404 Microsoft Research
New capabilities for modern data integration in the cloud : Build 2018
This session focuses on the needs of the data integrator and data engineer whether that be for data warehousing & BI, advanced analytics of data for SaaS applications. We walk through a comprehensive set of new additions to Azure Data Factory and SSIS for moving and integrating data across on-premises and cloud. Topics and examples will include simple, scalable and reliable data pipelines in ADF using a serverless, parallel data movement service to/from the cloud, provisioning of Azure-SSIS Integration Runtime (IR) โ€“ dedicated servers for lifting & shifting SSIS packages to cloudโ€“ and its customization with your own/3rd party extensions, the execution of SSIS packages as first-class activities in ADF pipelines and their combination with other ADF activities to create modern ETL/ELT workflows all through the new code-free experience. Create a Free Account (Azure): https://aka.ms/azft-migrate
Views: 1398 Microsoft Developer
How to make a two way (two variable) data table in Excel
Demonstration of two-way data table feature in Excel. This kind of table is sometimes referred to as a two-variable data table. This tool is one of the most commonly used for sensitivity analysis or what if analysis. The table shows the effect of changing two input variables on a selected output variable. Download the demonstration file: https://alphabench.com/data/DirectMail.xlsx See the One-Variable Data Table tutorial: https://youtu.be/fSi3i3Hyvyg
Views: 94481 Matt Macarty
Using Chart.js With React
In this video I will show you how to build a React app that implements the Chart.js JavaScript library for building charts Please watch the "Getting Started With Chart.js" video first if you are unfamiliar with Chart.js https://www.youtube.com/watch?v=sE08f4iuOhA CODE: Code for this video https://github.com/bradtraversy/reactcharts React-chartjs-2 Github Page https://github.com/gor181/react-chartjs-2 10 Project React Course! http://www.traversymedia.com/course/projects-in-reactjs-the-complete-react-learning-course/ SUPPORT: We spend massive amounts of time creating these free videos, please donate to show your support: http://www.paypal.me/traversymedia http://www.patreon.com/traversymedia FOLLOW TRAVERSY MEDIA: http://www.facebook.com/traversymedia http://www.twitter.com/traversymedia https://www.instagram.com/traversymedia
Views: 66860 Traversy Media
AngularJS + REST Made Simple: Connecting AngularJS to a Backend with REST & JSON
AngularJS + REST Made Simple: Connecting AngularJS to a Backend with REST & JSON Speaker: Ben Busse, technology evangelist at dreamfactory Angular provides several convenient ways to interact with backend data using REST and JSON. This talk will explain an easy way to auto-generate REST APIs and wire up Angular to data sources like SQL, NoSQL, remote file storage, and external web services using an open source REST platform called DreamFactory. This session will introduce DreamFactory's REST API console, demonstrate a simple Angular app using CORS and REST calls for user creation, authentication, database CRUD, and external web services. Lastly, we'll briefly cover API test cases and mobile app deployment with Yeoman, DreamFactory, and PhoneGap. slides: Brad's: http://goo.gl/mvKxlz Ben's: http://goo.gl/VKDt2F James': http://goo.gl/el53vz Misko's: http://goo.gl/eFAsqw and http://goo.gl/6gwcDN
Views: 322331 Angular
Fireside Chat with Optimizely Co-founder and Executive Chairman Dan Siroker
On Aug 15, we had the pleasure to host Optimizely's CEO Dan Siroker at the new Atlassian Offices. Throughout the night, TechSydney CEO Dean McEvoy quizzed Dan and we got to hear more about the person behind Dan Siroker (and his twin), his journey throughout the years and future goals for Optimizely, and also if he believes in aliens! Thanks everyone for coming! Check out TechSydney and Optimizely: www.techsydney.com.au/ www.optimizely.com/
Views: 136 TechSydney
My Logisim Floating Point CPU / Computer - (FPU) (Fractals, Raytracer, Etc.)
This video shows the addition of floating point components to my CPU which allows for more complex programs such as a raytracer, fractal plotter, and function plotter (all and more shown in video). Also shows my graphical version of my CPU/computer simulator for this CPU. This CPU is based on the 16 instruction microprocessor I designed for a homework assignment, but is now up to 100 instructions and counting. If you want to know more technical aspects of this CPU or want to know how it evolved, refer to my other CPU / Logisim videos (reverse chronological order): My CPU & Computer Simulator - A Very Useful Tool For My Logisim CPU https://www.youtube.com/watch?v=Fwkt0emsCnY My CPU: Goodbye Gated Clocks! Hello Indirect Jumps (Now With More Programs) https://www.youtube.com/watch?v=exkqWAXH0y8 Converting My CPU to Verilog Via Logisim Evolution (for Eventual FPGA Board?) https://www.youtube.com/watch?v=zh_X6_6jCik Converting My CPU to VHDL Via Logisim Evolution (for Eventual FPGA Board?) https://www.youtube.com/watch?v=drIQLX6GrM4 My CPU / Computer: Conversion from Original Logisim to Logisim Evolution https://www.youtube.com/watch?v=yd7DeWTbfWQ My CPU With Improved Sound and MIDI Musical Keyboard Via Logisim https://www.youtube.com/watch?v=_VW074myq44 Using My Even More Improved CPU in a Full-Fledged Computer Via Logisim https://www.youtube.com/watch?v=Os-1ZQ6BXFI Testing and Improving My CPU Design with Logisim (And Digital Logic Basics) https://www.youtube.com/watch?v=YRacHluDx_g If you need a primer on logic gates or their implementation using transistors, etc., refer to my other videos: CMOS Transistor Logic Gates and SPICE Analysis (LTSpice, oregano, etc.): https://www.youtube.com/watch?v=kiDl0AdmkbQ NOR Gate Transistor Design and CMOS Gate Array Implementation: https://www.youtube.com/watch?v=Ikaji3Oj9cE NAND Gate Transistor Design and CMOS Gate Array Implementation: https://www.youtube.com/watch?v=MjfBSqkZ3yw ******************************************************************************* Links to various Verilog and VHDL processing programs Icarus Verilog main website: http://iverilog.icarus.com/ Icarus Verilog Windows binaries: http://bleyer.org/icarus Icarus Verilog Windows 32-bit binary download: http://bleyer.org/icarus/iverilog-10.0-x86_setup.exe GHDL: Version 0.34: https://github.com/tgingold/ghdl/releases GHDL: Version 0.34 (direct link (Windows)): https://github.com/tgingold/ghdl/releases/download/2017-03-01/ghdl-0.34-dev-mcode-2017-03-01-win32.zip GHDL: Version 0.33: https://github.com/tgingold/ghdl/releases/tag/v0.33 GHDL: Main github page: https://github.com/tgingold/ghdl GTKWave: Main sourceforge page: http://gtkwave.sourceforge.net/ ******************************************************************************* Link to notepad++: https://notepad-plus-plus.org/ ******************************************************************************* Here are links to various Logisim versions and Java: http://www.cburch.com/logisim/ (project website) https://sourceforge.net/projects/circuit/ (download page) https://sourceforge.net/projects/circuit/files/latest/download (easiest download link) Since the original creator of Logisim has discontinued work on it due to time constraints, others have created other versions using his code. Here are some different "forks" of Logisim: https://github.com/kevinawalsh/logisim-evolution (Improved Logisim Evolution fork by the author of the Cornell version of Evolution) http://reds-data.heig-vd.ch/logisim-evolution/logisim-evolution.jar (compiled program direct link. Need to "java -jar logisim-evolution.jar") https://github.com/reds-heig/logisim-evolution (source code (needs to be compiled) - click "Clone or download") https://codeload.github.com/reds-heig/logisim-evolution/zip/master (source code direct link) https://github.com/lawrancej/logisim (needs to be compiled. Click "Clone or download") https://code.google.com/p/logisim-iitd (project page) http://www.cs.cornell.edu/courses/cs3410/2017sp/logisim/logisim-evolution.jar (download link) http://www.cs.cornell.edu/courses/cs3410/2017sp (course page) Also, Digital is a similar program: https://github.com/hneemann/Digital (project page and download section. Needs to be compiled. Click "Clone or download") https://github.com/hneemann/Digital/releases/download/v0.9/Digital.zip (compiled program direct link) If you need JAVA: http://www.oracle.com/technetwork/java/javase/downloads/jre8-downloads-2133155.html http://www.oracle.com/technetwork/java/javase/downloads/index.html (general download page) https://www.java.com (general java page) Whichever Java package you choose, for safety reasons, you might want to disable the JAVA browser plugin if it gets installed (not to be confused with Javascript).
Views: 3200 MrMcsoftware
Learn MySQL In Arabic #40 - Comparison Operators
Learn how to use Comparison Operators with Examples
Views: 4705 Elzero Web School
LLBMC: The Low-Level Bounded Model Checker
Google Tech Talk (more info below) February 22, 2011 Presented by Carsten Sinz, Stephan Falke, & Florian Merz, Karlsruhe Institute of Technology, Germany. ABSTRACT Producing reliable and secure software is time consuming and cost intensive, and still many software systems suffer from security vulnerabilities or show unintended, faulty behavior. Testing is currently the predominant method to ascertain software quality, but over the last years formal methods like abstract interpretation or model checking made huge progress and became applicable to real-world software systems. Their promise is to reach a much higher level of software quality with less effort. In this talk we present a recent method for systematic bug finding in C programs called Bounded Model Checking (BMC) that works fully automatic and achieves a high level of precision. We present our implementation, LLBMC, which---in contrast to other tools---doesn't work on the source code level, but employs a compiler intermediate representation (LLVM IR) as a starting point. It is thus easily adaptable to support verification of other programming languages such as C++ or ObjC. LLBMC also uses a highly precise (untyped) memory model, which allows to reason about heap and stack data accesses. Moreover, we show how LLBMC can be integrated into the software development process using a technique called Abstract Testing.
Views: 3428 GoogleTechTalks
[@IndeedEng]: Large scale interactive analytics with Imhotep
Link to slides: http://www.slideshare.net/indeedeng/large-scale-interactive-analytics-with-imhotep In a previous talk, we explained how we developed Imhotep, a distributed system for building decision trees for machine learning. We went on to describe how we build large scale interactive analytics tools using the same platform. This has kept our engineering and product organizations focused on key metrics by analyzing test results. It also gives our marketing organization timely and accurate insight into our data - allowing us to identify opportunities, spot trends, and learn about our job seekers. In this talk, Zak Cocos, who leads our Marketing Sciences team, and Product Manager Tom Bergman will discuss and provide examples of the valuable insights that can be gained by using Imhotep with almost any data set.
Views: 2335 @IndeedEng Talks
Java and MicroProfile on Azure: Building microservices in style - BRK3343
This session dives into the steps required to design, build, deploy, and orchestrate a cloud native microservice architecture using Java and Eclipse MicroProfile. We use Red Hatโ€™s MicroProfile implementation known as Thorntail, optimized for deployment to OpenShift and integrated with Azure services. Hear from Microsoft and Red Hat experts how adopting Cloud Native open source projects and open standards, while making use of tools, APIs, and Java specifications that developers are already familiar with, can allow you to achieve superior productivity. This session includes an overview of MicroProfile and demonstrations of how to put it into practice in the cloud.
Views: 276 Microsoft Ignite
Week 9, continued
Views: 26575 CS50
LEAP Into WIOA: New NRS Reporting for 2017
Presenter: Jay Wright, CASAS On July 1, 2016, we officially transitioned from WIA (Workforce Investment Act) to WIOA (Workforce Innovation and Opportunity Act.) With this large-scale federal shift came many changes to the dynamics of how we now meet state and federal reporting standards. This workshop focuses on how the new NRS Tables affect these day to day considerations.
Learn how Cardinal Health migrated thousands of VMs to GCP (Cloud Next '19)
In this session, weโ€™ll walk you through exactly how Cardinal Health deployed and used Velostrata for their migration journey. You'll learn what went into the planning phases, how they crafted and deployed the right architectures, what their migration journey was like, and some of the lessons they learned. Watch more: Next '19 Architecture Sessions here โ†’ https://bit.ly/Next19Architecture Next โ€˜19 All Sessions playlist โ†’ https://bit.ly/Next19AllSessions Subscribe to the GCP Channel โ†’ https://bit.ly/GCloudPlatform Speaker(s): Issy Ben-Shaul, Louis Verzi, Joe Timmons Session ID: ARC300 fullname: Issy Ben-Shaul, Joe Timmons;
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 12 - Fast Reinforcement Learning II
Professor Emma Brunskill, Stanford University http://onlinehub.stanford.edu/ Professor Emma Brunskill Assistant Professor, Computer Science Stanford AI for Human Impact Lab Stanford Artificial Intelligence Lab Statistical Machine Learning Group To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs234/index.html To get the latest news on Stanfordโ€™s upcoming professional programs in Artificial Intelligence, visit: http://learn.stanford.edu/AI.html To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu
Views: 958 stanfordonline
Cloud Spanner 101: Google's mission-critical relational database  (Google Cloud Next '17)
In this video, Dominic Preuss shares an overview of Google Cloud Spanner, Google's mission-critical, relational and scalable application database, which is now publicly available as a managed service on Google Cloud. You'll learn how Cloud Spanner evolved, how Google uses it internally, and how you can use it for your next project. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG
Views: 19630 Google Cloud Platform
GCP Machine: Cricket Video Analysis to Predicting Coal Mine Equipment Failures (Cloud Next '19)
Two very different companies - Teck Resources, one of the worldโ€™s largest mining companies vs English and Wales Cricket Board, a major sports and entertainment organization. Two very different ML domains - predictive maintenance vs sports analytics. Two very different classes of data to work with - structured time-series IoT data vs unstructured video streams. Two very different levels of existing GCP adoption - from nothing in the cloud to already in the cloud. And yet, there are many common elements in building a successful machine learning solution. Diving into the details, this session demonstrates how to take an idea to a working production ML solution while peeking into the technology along the way including: Turning business needs into supervised learning problems and understanding the importance of focus. Examples of real-world challenges with labeling data - something that โ€œsyntheticโ€ ML problems (hello MNIST) or Kaggle competitions simply donโ€™t have. Working with structured and unstructured data on leveraging Cloud Storage, DataFlow, Pub/Sub, BigQuery, Bigtable, Cloud Composer, Kubernetes Engine and more. Leveraging various machine learning frameworks from Scikit Learn to TensorFlow to pre-build AI APIs as well as โ€œsemi-trainedโ€ models with specific examples of using Cloud ML Engine, Vision API, Video Intelligence API, AutoML. Designing and implementing ML solutions as microservices with a synchronous or asynchronous API layer using Cloud ML Engine, AppEngine, Kubernetes Engine, Cloud Endpoints. Using foundational cloud infrastructure elements from Cloud Build for continuous integration to Stackdriver for operational monitoring and insights. GCP Machine Learning Applications โ†’ http://bit.ly/2WQC1Fw Watch more: Next '19 DevOps & SRE Sessions here โ†’ https://bit.ly/Next19DevOpsSRE Next โ€˜19 All Sessions playlist โ†’ https://bit.ly/Next19AllSessions Subscribe to the GCP Channel โ†’ https://bit.ly/GCloudPlatform Speaker(s): Alexander Gorbachev Session ID: MLAI234