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.