machine learning python di barua tarkeshwar (17 risultati)

perfect. Condizione: Very Good.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. 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.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: Brand New. 358 pages. 9.45x6.69x9.61 inches. In Stock.

Taschenbuch. Condizione: Neu. Neuware -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. 476 pp. Englisch.

Taschenbuch. Condizione: Neu. Neuware -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. 476 pp. Englisch.

Taschenbuch. Condizione: Neu. Neuware -This book explains how to use the programming language Python to develop machine learning and deep learning tasks.

Paperback. 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.

Condizione: 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.

Paperback. 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.

Taschenbuch. Condizione: Neu. Machine Learning with Python | Tarkeshwar Barua (u. a.) | Taschenbuch | De Gruyter STEM | X | Englisch | 2024 | Walter de Gruyter | EAN 9783110697162 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.

Taschenbuch. Condizione: Neu. Neuware -This book explains how to use the programming language Python to develop machine learning and deep learning tasks.Walter de Gruyter, Genthiner Straße 13, 10785 Berlin 476 pp. Englisch.

Taschenbuch. Condizione: Neu. Neuware - 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.

Paperback. Condizione: new. Paperback. 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. This book explains how to use the programming language Python to develop machine learning and deep learning tasks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.