Math, Machine Learning, and JavaScript - Intermediate

Please log in to watch this conference skillscast.

JavaScript and number crunching may seem an odd pair, but this is rapidly changing. In this talk, Athan will discuss the current state-of-the-art for numeric computation and machine learning in JavaScript. He will introduce libraries for statistical computing, neural networks, and multidimensional data structures and highlight emerging technologies such as WebAssembly and Node.js native add-ons. Next, he will discuss what to look for in numeric computing libraries, common implementation mistakes, and how to avoid portability issues. By the end of this talk, you will understand why JavaScript is poised to become the next big thing for data science and numeric computing. To conclude, he will outline future steps and identify opportunities for community development of next-generation tools.

YOU MAY ALSO LIKE:

• A Better Node.js REPL (SkillsCast recorded in May 2019)
• Advanced JavaScript Workshop with Damjan Vujnovic (Online Course on 26th - 30th April 2021)
• React & Redux: Web Application Workshop with Damjan Vujnovic (Online Course on 3rd - 7th May 2021)
• FullStack eXchange 2021: The Conference on JavaScript & Node (Online Conference on 21st - 22nd July 2021)
• NodeJS, ML, K8s and Unethical Face Recognition (SkillsCast recorded in December 2020)
• F# for a Real World E-commerce Project (SkillsCast recorded in October 2020)