raschka sebastian mirjalili vahid (66 résultats)

Etat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Paperback. Etat : Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Etat : New.

Etat : Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Etat : Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

Etat : New. In.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New. In.

paperback. Etat : Very Good. Very Good condition.Crisp pages. Clean cover and pages. Book shows minimal shelf wear. No highlighting/marking. Not Satisfied? Contact us to get a refund.

Etat : New. In.

Etat : New. &Uumlber den AutorSebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. Some of his recent research methods have been applied to solving.

Digital. Etat : 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.

Etat : New.

Etat : New.

Etat : New.

Paperback. Etat : Brand New. German language. 9.37x6.73x1.65 inches. In Stock.

Digital. Etat : 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.

Paperback. Etat : Very Good+. Third Edition. 741 pages; Very Good condition. No noteworthy defects. No markings. ; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.

Digital. Etat : 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. Etat : 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.

Etat : New.

Etat : New.

paperback. Etat : 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.

Etat : New.

Etat : New. SUPER FAST SHIPPING.

Etat : New. SUPER FAST SHIPPING.

Etat : good. Signs of wear and consistent use.

paperback. Etat : Good.

Etat : As New. Unread book in perfect condition.