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9781449369415 - Introduction to Machine Learning with Python: a Guide for Data Scientists by Müller, Andreas C ; Guido, Sarah (59 results)
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Paperback. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
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Paperback. Condition: 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!
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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Introduction to Machine Learning with Python: A Guide for Data Scientists
Book 6 of 7: Learning PythonSeller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Introduction to Machine Learning with Python: A Guide for Data Scientists
Book 6 of 7: Learning PythonLanguage: English
Published by O'Reilly Media (edition 1), 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
Paperback. Condition: Fair. 1. 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.
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Introduction to Machine Learning with Python: A Guide for Data Scientists
Book 6 of 7: Learning PythonSeller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
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paperback. Condition: Very Good. Nice copy of this softcover. Binding is tight. Covers are clean and crisp. Pages appear bright and unmarked. Ships FAST! Bringing good books to happy readers since 2002.
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Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
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Paperback. Condition: 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!
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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 Scientists 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.
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paperback. Condition: Good. 1st Edition. Ships same day or next business day! UPS shipping available (Priority Mail for AK/HI/APO/PO Boxes). Used sticker and some writing and/or highlighting. Used books may not include working access code or dust jacket.
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Introduction to Machine Learning with Python: A Guide for Data Scientists
Book 6 of 7: Learning PythonLanguage: English
Published by O'Reilly Media, O'Reilly Media, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
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. Note:
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Introduction to Machine Learning with Python: A Guide for Data Scientists
Book 6 of 7: Learning PythonSeller: Strand Book Store, ABAA, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Paperback. Condition: Good.
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Introduction to Machine Learning with Python A Guide for Data Scientists
Book 6 of 7: Learning PythonLanguage: English
Published by O'Reilly Media, Sebastopol, CA, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
Seller: True Oak Books, Highland, NY, U.S.A.
Association Member: IOBA
Seller rating 5 out of 5 stars
First Edition
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 cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
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Introduction to Machine Learning with Python A Guide for Data Scientists
Book 6 of 7: Learning PythonLanguage: English
Published by O'Reilly Media, Sebastopol, CA, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
Seller: True Oak Books, Highland, NY, U.S.A.
Association Member: IOBA
Seller rating 5 out of 5 stars
First Edition
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 same or next business day. Buy with confidence.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Introduction to Machine Learning with Python
Book 6 of 7: Learning PythonSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Introduction to Machine Learning with Python (Paperback)
Book 6 of 7: Learning PythonLanguage: English
Published by O'Reilly Media, Sebastopol, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
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 learning 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.
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Introduction to Machine Learning with Python
Book 6 of 7: Learning PythonSeller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
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 solutions. 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.
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Introduction to Machine Learning With Python : A Guide for Data Scientists
Book 6 of 7: Learning PythonSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: NEW.
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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 solutions. 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.
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Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback or Softback)
Book 6 of 7: Learning PythonLanguage: English
Published by O'Reilly Media 10/20/2016, 2016
ISBN 10: 1449369413 ISBN 13: 9781449369415
Paperback or Softback. Condition: New. Introduction to Machine Learning with Python: A Guide for Data Scientists. Book.
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Paperback. Condition: new. New Copy. Customer Service Guaranteed.
