Academics
Now in its second edition, Applied Machine Learning continues to explore the theoretical underpinnings of learning and equips the readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. This book shows in a step-by-step manner how to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical style, the book covers a broad array of machine learning methods that have been profitably employed. It also provides a platform for hands-on experience through case studies and exercise experiments. \n\nSalient Features: \n1. Simple and lucid explanation of all basic concepts and techniques of machine learning, well supported with case studies and exercise experiments \n2. New sections on widely used techniques, such as log loss (cross entropy) metric for classification, imbalanced data problems and solutions, Ridge and LASSO regression, multiclass logistic regression, softmax function, and many more \n3. New chapter on ‘Understanding Machine Learning by Application’ provides a platform for gentle start on hands-on experience through case studies on real-life problems in diverse and important application areas \n4. Datasets in Excel files for Case studies and Exercise Experiments available online (refer to the complete list on the back inner cover)
M. Gopal, an ex-Professor of IIT Delhi, is a globally known academician with excellent credentials as author, teacher, and researcher. He is the author/ co-author of five books on Control Engineering. His books are used worldwide, and some of them have been translated into Chinese. McGraw-Hill Singapore has published his books for the Asia Pacific market, and McGraw-Hill USA has also published for the US market. His latest contribution as an author is the book Applied Machine Learning, 2nd edition, which is in your hands. As a teacher, his potential is being used globally through a video course (http://www.youtube.com/iit), one of the most popular NPTEL courses by the IIT faculty. More than a million students, teachers, researchers, and practitioners have used his books and the video course for knowledge acquisition over the past more than four decades. A recognized researcher in the area of Machine Learning, he is the author/co-author of over 150 research papers, the key contributions have been published in high impact factor journals. He has supervised 16 doctoral research projects (7 of them in the machine learning area). His current research interests are in the areas of deep learning, deep reinforcement learning, and robotics and automation. M. Gopal holds B.Tech (Electrical), M.Tech (Control Systems), and Ph.D. degrees from BITS Pilani. His teaching and research stints span five decades at prestigious institutes, namely IIT Delhi, IIT Bombay, BITS Pilani, MNIT Jaipur, and Shiv Nadar University.
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