Art and Science of Machine Learning


This course on Art and Science of machine learningis delivered in 6 modules. It covers the essential skills of ML intuition, good judgment and experimentation needed to finely tune and optimize ML models for the best performance. We will learn how to generalize a model using Regularization techniques and about the effects of hyperparameters such as batch size and learning rate on model performance. We’ll cover some of the most common model optimization algorithms and specify optimization methods in TensorFlow code.

Aditya Jyoti Paul
Aditya Jyoti Paul
Computer Vision and Image Encryption Researcher

My work makes machines smarter, secure and more accessible. I’m passionate about research, teaching and blogging. Outside academia, I love travel, music, reading and meeting new people!