Introduction Machine Learning Python by Müller Andreas (31 results)
Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Paperback. Condition: Good. Introduction to Machine Learning with Python: A Guide for Data Scientists by Andreas Müller; Sarah Guido. O'Reilly Media, 2016. 398pp. Language: English. Condition Notes.
More imagesLanguage: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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paperback. Condition: VERY GOOD. Very Good. Unmarked. Clean, unmarked interior. Softcover, clean & bright, some edge corner and shelf wear. No rips, chips, stains or tears. Binding solid. 2017 Edition (4th release 2018). hips from USA, quickly and with care. Introduction to Machine Learning with Python: A Guide for Data Scientis…ts by Andreas C. Müller and Sarah Guido provides practical guidance on implementing machine learning solutions using Python and the scikit-learn library, focusing on real-world applications over theoretical concepts.
Language: English
Published by Shroff Publishers & Distributors Pvt Ltd 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
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Condition: 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.
Language: English
Published by O'Reilly Media, Sebastopol, CA 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
- First Edition
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Paperback. Condition: Very Good+. First Edition; Third Printing. 378 pages; minor creasing to back cover's bottom corner. Very Good condition otherwise. No other noteworthy defects. No markings. ; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushion…ed in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
Language: English
Published by O'Reilly Media, Sebastopol, CA 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
- First Edition
Seller: True Oak Books, Highland, NY, U.S.A.True Oak Books
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Paperback. Condition: Very Good+. First Edition; First Printing. 376 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 s…ame or next business day. Buy with confidence.
Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
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Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
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Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Language: English
Published by O'Reilly Media, Sebastopol 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Paperback. Condition: new. Paperback. Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learn…ing solutions. With all the data available today, machine learning applications are limited only by your imagination.Youll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Mller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, youll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skillsAbout the AuthorsSarah is a data scientist at Reonomy, where she's helping to build disruptive tech in the commercial real estate industry in New York City. Three of her favorite things are Python, data, and machine learning. Andreas Mueller received his PhD in machine learning from the University of Bonn. After working as a machine learning researcher on computer vision applications at Amazon for a year, he joined the Center for Data Science at the New York University, and later the Columbia University Data Science Institute. In the last four years, he has been maintainer and one of the core contributor of scikit-learn, a machine learning toolkit widely used in industry and academia, and author and contributor to several other widely used machine learning packages. His mission is to create open tools to lower the barrier of entry for machine learning applications, promote reproducible science and democratize the access to high-quality machine learning algorithms. Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by O'Reilly Media, US 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Paperback. Condition: New. Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutio…ns. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills.
Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Language: English
Published by O'Reilly Media, US 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Paperback. Condition: New. Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutio…ns. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills.
Language: English
Published by O'Reilly 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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paperback. Condition: New.
Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
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Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
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Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
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Language: English
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Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
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Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
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Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Language: English
Published by KNV Besorgung 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
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Condition: New. Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical w.
Language: English
Published by O'Reilly Media, US 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Paperback. Condition: New. Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutio…ns. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills.
Language: English
Published by O'Reilly Media 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Published by O'Reilly Media, Sebastopol 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Paperback. Condition: new. Paperback. Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learn…ing solutions. With all the data available today, machine learning applications are limited only by your imagination.Youll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Mller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, youll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skillsAbout the AuthorsSarah is a data scientist at Reonomy, where she's helping to build disruptive tech in the commercial real estate industry in New York City. Three of her favorite things are Python, data, and machine learning. Andreas Mueller received his PhD in machine learning from the University of Bonn. After working as a machine learning researcher on computer vision applications at Amazon for a year, he joined the Center for Data Science at the New York University, and later the Columbia University Data Science Institute. In the last four years, he has been maintainer and one of the core contributor of scikit-learn, a machine learning toolkit widely used in industry and academia, and author and contributor to several other widely used machine learning packages. His mission is to create open tools to lower the barrier of entry for machine learning applications, promote reproducible science and democratize the access to high-quality machine learning algorithms. Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by O'Reilly Media, US 2016
Series: Learning Python, Book 6 of 7. Book 6 of 7 - Learning Python
- Softcover
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Paperback. Condition: New. Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutio…ns. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills.
