Machine Learning in JavaScript with TensorFlow.js

This course has been designed by a specialist team of software developers who are passionate about using JavaScript with Machine Learning. We will guide you through complex topics in a practical way, and reinforce learning with in-depth labs and quizzes.

Throughout the course we use house price data to ask ever more complicated questions; “can you predict the value of this house?”, “can you tell me if this house has a waterfront?”, “can you classify it as having 1, 2 or 3+ bedrooms?”. Each example builds on the one before it, to reinforce learning in easy and steady steps.

Machine Learning in TensorFlow.js provides you with all the benefits of TensorFlow, but without the need for Python. This is demonstrated using web based examples, stunning visualisations and custom website components.

This course is fun and engaging, with Machine Learning learning outcomes provided in bitesize topics:

• Part 1 - Introduction to TensorFlow.js

• Part 2 - Installing and running TensorFlow.js

• Part 3 - TensorFlow.js Core Concepts

• Part 4 - Data Preparation with TensorFlow.js

• Part 5 - Defining a model

• Part 6 - Training and Testing in TensorFlow.js

• Part 7 - TensorFlow.js Prediction

• Part 8 - Binary Classification

• Part 9 - Multi-class Classification

• Part 10 - Conclusion & Next Steps