The first chapter gives a very brief introduction to AI and describes the main types of machine learning algorithms. The other chapters never make any reference to these types of machine learning, so the introductory chapter is disconnected from the rest of the book.
Chapters 2 introduces the
concept of no-code AI and describes a number of existing platforms.
Chapters 3 to 10 describe how to…mehrThe first chapter gives a very brief introduction to AI and describes the main types of machine learning algorithms. The other chapters never make any reference to these types of machine learning, so the introductory chapter is disconnected from the rest of the book.
Chapters 2 introduces the concept of no-code AI and describes a number of existing platforms.
Chapters 3 to 10 describe how to create machine learning models using platforms and tools such as Google AutoML, Amazon SageMaker Canvas and DataRobot. These chapters contain a lot of copy-and-paste text, i.e. text that is copied literally or almost literally to several chapters. The text that is unique to each chapter is therefore relatively limited, since a lot of the remaining space is taken up by screenshots and explanations of these screenshots. The text is marred by many linguistic errors, many of which are also copied from chapter to chapter.
The final chapter provides some pointers on "coded AI" using popular Python libraries.
This is a disappointing book. In fact, it is the worst IT book that I have read in over thirty years.
