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In den WarenkorbZustand: Fine. 248 pp., paperback, a few pages curled at the top corner, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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In den WarenkorbZustand: New. Mastering Numerical Computing with Python guides you in performing complex computing with cutting-edge coverage on advanced concepts such as exploratory data analysis and clustering algorithms. You ll become an expert in addressing matrix calculations, and .
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In den WarenkorbZustand: New. This book helps machine learning professionals in developing AutoML systems that can be utilized to build ML solutions. This book covers the necessary foundations and shows the most practical ways possible to get to speed with regards to creating AutoML mod.
Verlag: Packt Publishing 6/28/2018, 2018
ISBN 10: 1788993357 ISBN 13: 9781788993357
Sprache: Englisch
Anbieter: BargainBookStores, Grand Rapids, MI, USA
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In den WarenkorbPaperback or Softback. Zustand: New. Mastering Numerical Computing with NumPy 0.95. Book.
Verlag: Packt Publishing - ebooks Account, 2018
ISBN 10: 1788629892 ISBN 13: 9781788629898
Sprache: Englisch
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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In den WarenkorbPF. Zustand: New.
Verlag: Packt Publishing Limited, GB, 2023
ISBN 10: 1788629892 ISBN 13: 9781788629898
Sprache: Englisch
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In den WarenkorbDigital. Zustand: New. Automate data and model pipelines for faster machine learning applicationsAbout This Book. Build automated modules for different machine learning components. Understand each component of a machine learning pipeline in depth. Learn to use different open source AutoML and feature engineering platformsWho This Book Is ForIf you're a budding data scientist, data analyst, or Machine Learning enthusiast and are new to the concept of automated machine learning, this book is ideal for you. You'll also find this book useful if you're an ML engineer or data professional interested in developing quick machine learning pipelines for your projects. Prior exposure to Python programming will help you get the best out of this book.What You Will Learn. Understand the fundamentals of Automated Machine Learning systems. Explore auto-sklearn and MLBox for AutoML tasks . Automate your preprocessing methods along with feature transformation. Enhance feature selection and generation using the Python stack. Assemble individual components of ML into a complete AutoML framework. Demystify hyperparameter tuning to optimize your ML models. Dive into Machine Learning concepts such as neural networks and autoencoders . Understand the information costs and trade-offs associated with AutoMLIn DetailAutoML is designed to automate parts of Machine Learning. Readily available AutoML tools are making data science practitioners' work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to speed with them in the most practical way possible. In this book, you'll learn how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model optimization, and much more. In addition to this, it demonstrates how you can use the available automation libraries, such as auto-sklearn and MLBox, and create and extend your own custom AutoML components for Machine Learning. By the end of this book, you will have a clearer understanding of the different aspects of automated Machine Learning, and you'll be able to incorporate automation tasks using practical datasets. You can leverage your learning from this book to implement Machine Learning in your projects and get a step closer to winning various machine learning competitions.Style and approachStep by step approach to understand how to automate your machine learning tasks.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 37,70
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Verlag: Packt Publishing - ebooks Account, 2018
ISBN 10: 1788629892 ISBN 13: 9781788629898
Sprache: Englisch
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In den WarenkorbZustand: New.
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ISBN 10: 1788629892 ISBN 13: 9781788629898
Sprache: Englisch
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ISBN 10: 1788629892 ISBN 13: 9781788629898
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Verlag: Packt Publishing Limited, GB, 2023
ISBN 10: 1788629892 ISBN 13: 9781788629898
Sprache: Englisch
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In den WarenkorbDigital. Zustand: New. Automate data and model pipelines for faster machine learning applicationsAbout This Book. Build automated modules for different machine learning components. Understand each component of a machine learning pipeline in depth. Learn to use different open source AutoML and feature engineering platformsWho This Book Is ForIf you're a budding data scientist, data analyst, or Machine Learning enthusiast and are new to the concept of automated machine learning, this book is ideal for you. You'll also find this book useful if you're an ML engineer or data professional interested in developing quick machine learning pipelines for your projects. Prior exposure to Python programming will help you get the best out of this book.What You Will Learn. Understand the fundamentals of Automated Machine Learning systems. Explore auto-sklearn and MLBox for AutoML tasks . Automate your preprocessing methods along with feature transformation. Enhance feature selection and generation using the Python stack. Assemble individual components of ML into a complete AutoML framework. Demystify hyperparameter tuning to optimize your ML models. Dive into Machine Learning concepts such as neural networks and autoencoders . Understand the information costs and trade-offs associated with AutoMLIn DetailAutoML is designed to automate parts of Machine Learning. Readily available AutoML tools are making data science practitioners' work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to speed with them in the most practical way possible. In this book, you'll learn how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model optimization, and much more. In addition to this, it demonstrates how you can use the available automation libraries, such as auto-sklearn and MLBox, and create and extend your own custom AutoML components for Machine Learning. By the end of this book, you will have a clearer understanding of the different aspects of automated Machine Learning, and you'll be able to incorporate automation tasks using practical datasets. You can leverage your learning from this book to implement Machine Learning in your projects and get a step closer to winning various machine learning competitions.Style and approachStep by step approach to understand how to automate your machine learning tasks.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 43,23
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Verlag: Packt Publishing - ebooks Account, 2018
ISBN 10: 1788629892 ISBN 13: 9781788629898
Sprache: Englisch
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Verlag: Packt Publishing - ebooks Account, 2018
ISBN 10: 1788629892 ISBN 13: 9781788629898
Sprache: Englisch
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In den WarenkorbPAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Verlag: Packt Publishing, Limited, 2018
ISBN 10: 1788993357 ISBN 13: 9781788993357
Sprache: Englisch
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In den WarenkorbZustand: New. Print on Demand pp. 248.
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Verlag: Packt Publishing, Limited, 2018
ISBN 10: 1788629892 ISBN 13: 9781788629898
Sprache: Englisch
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: New. Print on Demand pp. 282.