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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Machine Learning with Python (De Gruyter STEM)
Book 252 of 256: De Gruyter STEMSeller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
perfect. Condition: Very Good.
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Soft cover. Condition: New. Concepts of Machine Learning with Practical Approaches. KEY FEATURES Includes real-scenario examples to explain the working of Machine Learning algorithms. Includes graphical and statistical representation to simplify modeling Machine Learning and Neural Networks. Full of Python codes, numerous exercises, and model question papers for data science students. DESCRIPTION The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches. This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Naïve Bayes classifier Decision Tree, K-nearest neighbor, Logistic Regression, Support Vector Machine, Random forest algorithms, Unsupervised Machine Learning algorithms such as k-means clustering, Hierarchical Clustering, Probabilistic clustering, Association rule mining, Apriori Algorithm, f-p growth algorithm, Gaussian mixture model and Reinforcement Learning algorithm such as Markov Decision Process (MDP), Bellman equations, policy evaluation using Monte Carlo, Policy iteration and Value iteration, Q-Learning, State-Action-Reward-State-Action (SARSA). It also includes various feature extraction and feature selection techniques, the Recommender System, and a brief overview of Deep Learning. By the end of this book, the reader can understand Machine Learning concepts and easily implement various ML algorithms to real-world problems.
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Modern Approaches to Software Analysis and Design - Concepts, Principles, and Frameworks for the Future of Software (EditionFirst )
Published by Shashwat Publication
ISBN 10: 9360875872 ISBN 13: 9789360875879
Condition: New.
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Modern Approaches to Software Analysis and Design - Concepts, Principles, and Frameworks for the Future of Software (EditionFirst )
Published by Shashwat Publication
ISBN 10: 9360875872 ISBN 13: 9789360875879
Condition: New.
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Modern Approaches to Software Analysis and Design - Concepts, Principles, and Frameworks for the Future of Software (EditionFirst )
Published by Shashwat Publication
ISBN 10: 9360875872 ISBN 13: 9789360875879
Condition: New.
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Machine Learning with Python
Book 252 of 256: De Gruyter STEMSeller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.
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Paperback. Condition: New. This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.
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MACHINE LEARNING WITH PYTHON
Book 252 of 256: De Gruyter STEMLanguage: English
Published by Walter de Gruyter, Incorporated, 2024
ISBN 10: 3110697165 ISBN 13: 9783110697162
US$ 131.78
US$ 8.86 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: New.
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MACHINE LEARNING WITH PYTHON
Book 252 of 256: De Gruyter STEMLanguage: English
Published by Walter de Gruyter, Incorporated, 2024
ISBN 10: 3110697165 ISBN 13: 9783110697162
Condition: New.
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Condition: New. Tarkeshwar Barua, Blue Crest Univ., Liberia Kamal Kant Hiran, Sir Padampat Singhania University, India Ritesh Kumar Jain, Geetanjali Inst. of Tech. Studies, India Doshi Ruchi, Universidad Azteca, Mexi.
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US$ 79.88
US$ 88.61 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: New. This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.
