A Practitioner’s Guide to Machine Learning

Dr. Franziska Horn
hey@franziskahorn.de
version 1.9, 2024-01-01

Table of Contents

A Practitioner’s Guide to Machine Learning

Introduction
- ML is everywhere!
- ML history: Why now?
The Basics
Data Analysis & Preprocessing
Deep Learning
Avoiding Common Pitfalls
Conclusion

Introduction

This chapter provides some motivating examples illustrating the rise of machine learning (ML).

ML is everywhere!
ML history: Why now?

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