Art and Science of Machine Learning

Welcome to the Art and Science of Machine Learning. This course is delivered in 6 modules. The course covers the essential skills of ML intuition, good judgment and experimentation needed to finely tune and optimize ML models for the best performance. You will learn how to generalize your 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 show you how to specify an optimization method in your TensorFlow code.
Course info
Level
Beginner
Updated
Dec 17, 2020
Duration
2h 39m
Table of contents
Introduction
The Art of ML
Hyperparameter Tuning
A Pinch of Science
The Science of Neural Networks
Embeddings
Summary
Description
Course info
Level
Beginner
Updated
Dec 17, 2020
Duration
2h 39m
Description

Welcome to the Art and Science of Machine Learning. This course is delivered in 6 modules. The course covers the essential skills of ML intuition, good judgment and experimentation needed to finely tune and optimize ML models for the best performance. You will learn how to generalize your 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 show you how to specify an optimization method in your TensorFlow code.

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About the author

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