Size: 10.68GB
Master Machine Learning from scratch using Javascript and TensorflowJS with hands-on projects.
What you’ll learn
- Assemble machine learning algorithms from scratch!
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Build interesting applications using Javascript and ML techniques
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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
Requirements
- Basic understanding of terminal and command line usage
- Ability to read basic math equations
Description
If you’re here, you already know the truth: Machine Learning is the future of everything. In the coming years, there won’t be a single industry in the world untouched by Machine Learning. A transformative force, you can either choose to understand it now, or lose out on a wave of incredible change. You probably already use apps many times each day that rely upon Machine Learning techniques. So why stay in the dark any longer?- 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 is the target audience?
- Javascript developers interested in Machine Learning