Machine Learning Q and AI

CONTENTS IN DETAIL

FOREWORD

ACKNOWLEDGMENTS

INTRODUCTION

Who Is This Book For?

What Will You Get Out of This Book?

How to Read This Book

Online Resources

PART INEURAL NETWORKS AND DEEP LEARNING

1EMBEDDINGS, LATENT SPACE, AND REPRESENTATIONS

Embeddings

Latent Space

Representation

Exercises

References

2SELF-SUPERVISED LEARNING

Self-Supervised Learning vs. Transfer Learning

Leveraging Unlabeled Data

Self-Prediction and Contrastive Self-Supervised Learning

Exercises

References

3FEW-SHOT LEARNING

Datasets and Terminology

Exercises

4THE LOTTERY TICKET HYPOTHESIS

The Lottery Ticket Training Procedure

Practical Implications and Limitations

Exercises

References

5REDUCING OVERFITTING WITH DATA

Common Methods

Collecting More Data

Data Augmentation

Pretraining ...