The book "Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making" provides a comprehensive overview of machine learning and its applications in various industries. The second edition of this book has been updated to reflect the latest advancements in the field, including new techniques and tools for data analysis and decision-making. The author emphasizes the importance of understanding the underlying principles of machine learning and how they can be applied to real-world problems. The book begins by introducing the concept of cognitive computing and its relevance to decision making. It explains how machines are becoming increasingly important in helping humans make better decisions, and how machine learning is a key technology driving this trend. The author highlights the need for a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for survival in a rapidly changing world. The book then delves into the fundamentals of machine learning, explaining the different types of algorithms and their applications in various industries. It covers topics such as supervised and unsupervised learning, deep learning, and neural networks, providing readers with a solid foundation in the subject matter.

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