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Chapter 5 Machine Learning Basics Deep learning is a specific kind of machine learning. To understand deep learning well, one must have a solid understanding of the basic principles of machine learning. This chapter provides a brief course in the most important general principles that are applied throughout the rest of the book. Novice readers or those who want a wider perspective are encouraged to consider machine learning textbooks with a more comprehensive coverage of the fundamentals, such as Murphy (2012) or Bishop (2006). If you are already familiar with machine learning basics, feel free to skip ahead to section 5.11. That section covers some perspectives on traditional machine learning techniques that have strongly influenced the development of deep learning algorithms. We begin with a definition of what a learning algorithm is and present an example: the linear regression algorithm. We then proceed to describe how the challenge of fitting the training data differs from the challeng

Chapter 5 Mac hine Learning Basics Deep learning is a sp ecific kind of mac hine learning. T o understand deep learning w ell, one m ust ha v e a solid understanding of the basic principles of mac hine learning. This c hapter pro vides a brief course in the most important general principles that are applied throughout the rest of the b o ok. Novice readers or those who wan t a wider p ersp ective are encouraged to consider mac hine learning textb o oks with a more comprehensiv e co v erage of the fundamen tals, such as Murphy ( 2012 ) or Bishop ( 2006 ). If you are already familiar with machine

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