Machine learning : the new AI /

Machine Learning: The New AI is a pocket-size book that presents an overview of machine learning for non-specialists. The book begins by introducing reasons for the interest in machine learning. Other chapters briefly summarize most of the basic material related to machine learning: "Machine Learning, Statistics, and Data Analytics," "Pattern Recognition," "Neural Networks and Deep Learning," "Learning Clusters and Recommendations," and "Learning to Take Actions." The concluding chapter touches on topics related to data science, which include machine learning, high-performance computing, and data privacy/security, and ends with a discussion of how "machine learning is one way to achieve artificial intelligence." For professionals and graduate students, there is a much more comprehensive and mathematical book on this subject, also by M.I.T. Press: Ian Goodfellow, Yoshua Bengio and Aaron Courville's Deep Learning (2016). The current book under review is rather superficial and too simplistic. The work is only recommended to the news media and those who want an undemanding, surface overview of the subject. Summing Up: Optional. Lower-division undergraduates. --Charles C. Tappert, Pace University