Machine Learning Algorithms Simplified by Lino A Tharakan (.PDF)

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File Size: 18.8 MB

Machine Learning Algorithms Simplified by Lino A Tharakan
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Overview: Machine Learning Simplified: A Comprehensive Guide to Supervised, Unsupervised, and Semi-Supervised Algorithms. In today’s data-driven world, Machine Learning has become an essential tool for businesses and organizations of all sizes. This powerful technology enables computers to learn from data without being explicitly programmed, making it possible to solve complex problems and uncover hidden insights. However, understanding the intricacies of machine learning can be daunting, especially for those without a background in Computer Science or mathematics. Enter “Machine Learning Simplified,” a comprehensive guide that breaks down the complex concepts of Machine Learning into easily understandable terms. This book is designed for anyone interested in learning about Machine learning, whether they are complete beginners or experienced professionals seeking to expand their knowledge. The book begins by introducing the fundamental concepts of supervised learning, where algorithms are trained on labeled data to learn a mapping from inputs to outputs. This section covers a wide range of supervised learning algorithms, including linear regression, logistic regression, decision trees, support vector machines, and neural networks.
Genre: Non-Fiction > Tech & Devices

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