Tutorials \ Processing.org. Index - CompTIA Marketplace. The 10 Best Coding Challenge Websites for 2018 – Coderbyte. At the end of 2016 I published the article: The 10 most popular coding challenge websites for 2017. The list was based on a few resources such as popular blog posts, Quora posts, articles, Google searches, and popular posts on forums like r/learnprogramming and Hacker News.
This updated 2018 list features 10 websites that offer the best coding challenges and resources to help new and intermediate developers improve their skills, prepare for interviews, and progress in their careers. The ordering of the list is based on level of difficulty (beginner to advanced). Stack Overflow Blog - A destination for all things related to development at Stack Overflow.
22 Free Resources for Data Structures and Algorithms: Binary Search Algorithms, String Algorithms… When you first start out with a tech career, you’re going to need to learn data structures and algorithms.
These are the basis behind computer programming, and every high-quality employer will make sure you understand them. Opensource.com. Data Science Central. TechCrunch – Startup and Technology News. Techopedia - Where IT and Business Meet.
Vidcode: Code your own projects & games. Data Science Central. Data Science Summarized in One Picture. DSC Data Science Search Engine. Reading List for Data Scientists. Machine Learnings. 87473b00 0c3c 4da9 abe8 8453cd36a05d. ACSL Programming contest computer contest. A+ Computer Science - Computer Science Curriculum and Contest Materials. Grok Code Quest. Learn to code - for free. Webmaker. GeekWire – Breaking News in Technology & Business. The Case of Mistaken Identity – A Data Detective Analysis - insightfulaccountant.com. For those of you who have read Insightful Accountant over the past years you will remember my ‘Data Detective’ stories which followed the pattern of a Sherlock Holmes style mystery.
This article takes a different approach by looking at the ‘detecting’ aspects of the problem rather than ‘the story.’ Instead of starting with our own mystery, we begin today by looking at one of Agatha Christy’s stories brought to film one more time in 2017. I recently watched the re-make of Murder on the Orient Express1, the one in which Kenneth Branagh plays the lead character. How the Circle Line rogue train was caught with data. The Extraordinary Link Between Deep Neural Networks and the Nature of the Universe.
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence.
One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Beetle Blocks - Visual code for 3D design. Java: The Legend. Get the free ebook The road from Java's first public alpha of 1.0 to today has been long—and full of technical advances, innovative solutions, and interesting complications.
Along the way, Java has flourished and is now one of the world's most important and widely-used programming environments. Benjamin Evans, the Java editor for InfoQ and author of Java in a Nutshell, 6th edition, takes us on a journey through time: How Java has benefitted from early design decisions, including "Write Once, Run Anywhere" and an insistence on backward compatibilityThe impact of open sourceThe enormous success and continued importance of the Java Virtual Machine and platformThe rise of Enterprise JavaThe evolution of the Java developer community and ecosystemJava's continuing influence on new programming languagesJava's greatest triumphs and most heroic failuresThe future of Java, including Java 9, Project Panama, Project Valhalla, and the Internet of Things.
Too Poor To Succeed? WhatsApp Story - Infographic. It was year 1992 in Ukraine.
It was the worst of times for the economy. Jan Koum was 16. His mother, hoping to find a better future for her son, decided to immigrate to the United States. There wasn’t a lot waiting for them in Mountain View, CA when they arrived, but a government subsidy helped them get food stamps and an apartment. Paul Ford: What Is Code? A computer is a clock with benefits.
They all work the same, doing second-grade math, one step at a time: Tick, take a number and put it in box one. Tick, take another number, put it in box two. Why so many data scientists are leaving their jobs. Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it… — Dan Ariely This quote is so apt. Many junior data scientists I know (this includes myself) wanted to get into data science because it was all about solving complex problems with cool new machine learning algorithms that make huge impact on a business. This was a chance to feel like the work we were doing was more important than anything we’ve done before. Learning Math for Machine Learning. Vincent Chen is a student at Stanford University studying Computer Science.
He is also a Research Assistant at the Stanford AI Lab. It’s not entirely clear what level of mathematics is necessary to get started in machine learning, especially for those who didn’t study math or statistics in school. In this piece, my goal is to suggest the mathematical background necessary to build products or conduct academic research in machine learning. These suggestions are derived from conversations with machine learning engineers, researchers, and educators, as well as my own experiences in both machine learning research and industry roles. Math for Machine Learning [Video] When Bayes, Ockham, and Shannon come together to define machine learning. Writing an R package from scratch. Anyone who has created their own R package has probably come across Hilary Parker’s awesome blogpost, that walks you through creating your very first R package.
The comprehensive detail on everything R packages can be found in Hadley Wickham’s superb book. In this post I am going to walk through some of the developments in the package development space since Hilary wrote her blog four years ago, in particular focussing on the relatively recent usethis package. DVzine.org - The Dvorak Zine. The Most in Demand Skills for Data Scientists. Ideas. Welcome back.
Please sign in. Welcome back. {* #userInformationForm *} {* traditionalSignIn_emailAddress *} {* traditionalSignIn_password *} {* traditionalSignIn_signInButton *} {* /userInformationForm *} Please confirm the information below before signing in. {* #socialRegistrationForm *} {* socialRegistration_firstName *} {* socialRegistration_lastName *} {* socialRegistration_displayName *} {* socialRegistration_emailAddress *} {* providerName *} {* profileURL *} {* profilePreferredUsername *} {* profileIdentifier *} {* /socialRegistrationForm *} Gmail: correo electrónico y almacenamiento gratuitos de Google. AnalyticBridge - A Data Science Central Community. Association for Computing Machinery.
The Association for Computing Machinery (ACM) is an international learned society for computing.
It was founded in 1947, and is the world's largest scientific and educational computing society.[1] The ACM is a non-profit professional membership group,[2] with more than 100,000 members as of 2011[update]. Top 5 Websites for Practicing Data structures and Algorithms for Coding Interviews Free. Are you preparing for Coding Interviews? Online Web Tutorials. How Do Computers Work?: New Video Series Explains the Inner Workings of the Device You Use Every Day. How do computers work? Yes, that appliance you use every day? To help answer the question, Code.org (a non-profit dedicated to expanding access to computer science) has put together a collection of primers that explain some of the oft-discussed components of computers--circuits, memory, CPU, etc.
And how they all fit together. The first video starts off with an introduction by Bill Gates. Watch the remaining five videos (each about five minutes long) just by letting the playlist run above. OPEN SOURCE sourceforge. Google.ai. WEBOPEDIA: Online Tech Dictionary for IT Professionals. Stack Overflow Developer Survey 2016 Results. MEDIUM best programming languages 2018. THINKFUL The Beginner’s Dilemma: Your First 100 Hours of Code. Peppermint OS.