Da: Vedams eBooks (P) Ltd, New Delhi, India
EUR 9,18
Quantità: 4 disponibili
Aggiungi al carrelloSoft cover. Condizione: 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.
Editore: Shashwat Publication
ISBN 10: 9360875872 ISBN 13: 9789360875879
Da: Majestic Books, Hounslow, Regno Unito
EUR 10,56
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
Da: Books From California, Simi Valley, CA, U.S.A.
perfect. Condizione: Very Good.
Editore: Shashwat Publication
ISBN 10: 9360875872 ISBN 13: 9789360875879
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Editore: Shashwat Publication
ISBN 10: 9360875872 ISBN 13: 9789360875879
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 11,40
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 43,82
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 51,18
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 69,37
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 84,33
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 77,80
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 100,50
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 72,12
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Lingua: Inglese
Editore: Walter de Gruyter, Incorporated, 2024
ISBN 10: 3110697165 ISBN 13: 9783110697162
Da: Majestic Books, Hounslow, Regno Unito
EUR 113,34
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Walter de Gruyter, Incorporated, 2024
ISBN 10: 3110697165 ISBN 13: 9783110697162
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
EUR 76,38
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: 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.
Da: Rarewaves.com UK, London, Regno Unito
EUR 78,96
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.