Machine Learning with Javascript

What you’ll learn

  • Assemble machine learning algorithms from scratch!
  • Build interesting applications using Javascript and ML techniques
  • Understand how ML works without relying on mysterious libraries
  • Optimize your algorithms with advanced performance and memory usage profiling
  • Use the low-level features of Tensorflow JS to supercharge your algorithms
  • Grow a strong intuition of ML best practices 

A short list of what you will learn:

  • Advanced memory profiling to enhance the performance of your algorithms
  • Build apps powered by the powerful Tensorflow JS library
  • Develop programs that work either in the browser or with Node JS
  • Write clean, easy to understand ML code, no one-name variables or confusing functions
  • Pick up the basics of Linear Algebra so you can dramatically speed up your code with matrix-based operations. (Don’t worry, I’ll make the math easy!)
  • Comprehend how to twist common algorithms to fit your unique use cases
  • Plot the results of your analysis using a custom-build graphing library
  • Learn performance-enhancing strategies that can be applied to any type of Javascript code
  • Data loading techniques, both in the browser and Node JS environments

Who this course is for:

  • Javascript developers interested in Machine Learning
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