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

Requirements
No programming experience required.

Description
If you're ready to embrace the future, then you're in the right place. Machine Learning is set to revolutionize every industry, and with this course, you'll be ahead of the curve.
Why javascript, you ask?
Well, it's not just about Python and R anymore. javascript offers simplicity and versatility, making it the ideal language for diving into the world of ML. Plus, it opens up a whole new world of possibilities for app development.
In this course, we cut through the confusion and dive deep into the core concepts. No pre-built functions here – you'll learn the exact math and programming techniques behind the most common ML algorithms. Don't worry if you're not a math whiz – I've got you covered with clear explanations and step-by-step guidance.
Here's a glimpse of what you'll learn:
• Advanced memory profiling for optimized performance • Building apps with Tensorflow JS • Writing clean, understandable ML code • Basics of Linear Algebra made easy • Customizing algorithms for unique use cases • Plotting results with custom graphing • Performance-enhancing strategies for any javascript code • Data loading techniques for both browser and Node JS environments
Don't miss out on this opportunity to master Machine Learning with javascript. Enroll now and step into the future with confidence!
Who this course is for:
javascript developers interested in Machine Learning