<p>This book is a simple comprehensive description of the fundamentals of Machine Learning. This book explains difficult algorithms in the simplest possible steps and language. It has eighteen chapters and it covers basic to most advanced algorithms. The book is concise but helps understand 360 degrees of Machine Learning. It covers many real-life solved examples; all have been newly created to explain machine learning in a newer and simpler way.</p><p>Machine learning is a math-heavy discipline. The mathematics is covered in an appropriate depth so that professionals can understand it. Mathematics will not be deterrent for understanding the subject. The book also contains many generic concepts required to understand the subject.</p><p>The book is for all practitioners and students. It is more helpful for beginners in the field who wants to learn the crux of the subject fast.</p>
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