9781787125933 - Python Machine Learning - Second Edition: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow de Raschka, Sebastian; Mirjalili, Vahid (37 resultados)

paperback. Condición: Good.

Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condición: 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!

Paperback. Condición: Fair. 2nd ed. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Condición: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condición: acceptable. Book is considered to be in acceptable condition. The actual cover image may not match the stock photo. Book may have one or more of the following defects: noticeable wear on the cover dust jacket or spine; curved, dog eared or creased page s ; writing or highlighting inside or on the edges; sticker s or other adhesive on cover; CD DVD may not be included; and book may be a former library copy.

paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

paperback. Condición: As New. 2nd ed. This book is in near-perfect condition, showing minimal signs of use. It has clean, crisp pages with no markings or highlighting, and the spine and cover are intact without any creases or wear. This book appears as if it has been barely touched and is virtually indistinguishable from a brand new book. This book may be an ex-library item. Textbooks may not include supplemental items i.e. CDs, access codes etc.

paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Condición: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.

Condición: As New. Unread book in perfect condition.

Condición: New.

Paperback or Softback. Condición: New. Python Machine Learning, Second Edition. Book.

Condición: New.

Digital. Condición: New. Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.About This Book. Second edition of the bestselling book on Machine Learning. A practical approach to key frameworks in data science, machine learning, and deep learning. Use the most powerful Python libraries to implement machine learning and deep learning. Get to know the best practices to improve and optimize your machine learning systems and algorithmsWho This Book Is ForIf you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data.What You Will Learn. Understand the key frameworks in data science, machine learning, and deep learning. Harness the power of the latest Python open source libraries in machine learning. Explore machine learning techniques using challenging real-world data . Master deep neural network implementation using the TensorFlow library. Learn the mechanics of classification algorithms to implement the best tool for the job. Predict continuous target outcomes using regression analysis. Uncover hidden patterns and structures in data with clustering. Delve deeper into textual and social media data using sentiment analysisIn DetailMachine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world.If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow m.

Digital. Condición: New. Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.About This Book. Second edition of the bestselling book on Machine Learning. A practical approach to key frameworks in data science, machine learning, and deep learning. Use the most powerful Python libraries to implement machine learning and deep learning. Get to know the best practices to improve and optimize your machine learning systems and algorithmsWho This Book Is ForIf you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data.What You Will Learn. Understand the key frameworks in data science, machine learning, and deep learning. Harness the power of the latest Python open source libraries in machine learning. Explore machine learning techniques using challenging real-world data . Master deep neural network implementation using the TensorFlow library. Learn the mechanics of classification algorithms to implement the best tool for the job. Predict continuous target outcomes using regression analysis. Uncover hidden patterns and structures in data with clustering. Delve deeper into textual and social media data using sentiment analysisIn DetailMachine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world.If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow m.

Condición: New. In.

Paperback. Condición: New.

Condición: New. pp. 622 2nd Edition.

Condición: New.

Condición: As New. Unread book in perfect condition.

paperback. Condición: Gut. 622 Seiten; 9781787125933.3 Gewicht in Gramm: 2.

Digital. Condición: New. Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.About This Book. Second edition of the bestselling book on Machine Learning. A practical approach to key frameworks in data science, machine learning, and deep learning. Use the most powerful Python libraries to implement machine learning and deep learning. Get to know the best practices to improve and optimize your machine learning systems and algorithmsWho This Book Is ForIf you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data.What You Will Learn. Understand the key frameworks in data science, machine learning, and deep learning. Harness the power of the latest Python open source libraries in machine learning. Explore machine learning techniques using challenging real-world data . Master deep neural network implementation using the TensorFlow library. Learn the mechanics of classification algorithms to implement the best tool for the job. Predict continuous target outcomes using regression analysis. Uncover hidden patterns and structures in data with clustering. Delve deeper into textual and social media data using sentiment analysisIn DetailMachine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world.If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow m.

Digital. Condición: New. Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.About This Book. Second edition of the bestselling book on Machine Learning. A practical approach to key frameworks in data science, machine learning, and deep learning. Use the most powerful Python libraries to implement machine learning and deep learning. Get to know the best practices to improve and optimize your machine learning systems and algorithmsWho This Book Is ForIf you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data.What You Will Learn. Understand the key frameworks in data science, machine learning, and deep learning. Harness the power of the latest Python open source libraries in machine learning. Explore machine learning techniques using challenging real-world data . Master deep neural network implementation using the TensorFlow library. Learn the mechanics of classification algorithms to implement the best tool for the job. Predict continuous target outcomes using regression analysis. Uncover hidden patterns and structures in data with clustering. Delve deeper into textual and social media data using sentiment analysisIn DetailMachine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world.If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow m.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.