Introduction To Machine Learning Algorithms
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An Introduction to Machine Learning
Just like electricity, Machine Learning will revolutionize our life in many ways – some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms. Many of the mathematical concepts are explained in an intuitive manner. The book starts with an overview of machine learning and the underlying Mathematical and Statistical concepts before moving onto machine learning topics. It gradually builds up the depth, covering many of the present day machine learning algorithms, ending in Deep Learning and Reinforcement Learning algorithms. The book also covers some of the popular Machine Learning applications. The material in this book is agnostic to any specific programming language or hardware so that readers can try these concepts on whichever platforms they are already familiar with. Offers a comprehensive introduction to Machine Learning, while not assuming any priorknowledge of the topic; Provides a complete overview of available techniques and algorithms in conceptual terms, covering various application domains of machine learning; Not tied to any specific software language or hardware implementation.
Introduction to Machine Learning Algorithms
Author: Dr.M.Balamurugan
language: en
Publisher: Leilani Katie Publication
Release Date: 2025-01-26
Dr.M.Balamurugan, Associate Professor and Head, Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST University, Bangalore, Karnataka, India. Dr.J.Bhuvana, Associate Professor, Department of Computer Science, CHRIST University, Bangalore, Karnataka, India. Dr.Aruna.S.K, Associate Professor, Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST University, Bangalore, Karnataka, India. Dr.M.Premalatha, Associate Professor, Department of Mathematics, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India. Dr.G.Baskar, Assistant Professor, Department of Computer Science, KPR College of Arts Science and Research, Bharathiar University, Coimbatore Tamil Nadu, India.
Introduction to Machine Learning with Python
Author: Andreas C. Müller
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2016-09-26
Many Python developers are curious about what machine learning is and how it can be concretely applied to solve issues faced in businesses handling medium to large amount of data. Machine Learning with Python teaches you the basics of machine learning and provides a thorough hands-on understanding of the subject.You'll learn important machine learning concepts and algorithms, when to use them, and how to use them. The book will cover a machine learning workflow: data preprocessing and working with data, training algorithms, evaluating results, and implementing those algorithms into a production-level system.