Seller: HPB-Diamond, Dallas, TX, U.S.A.
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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Published by Packt Publishing - ebooks Account, 2019
ISBN 10: 1789955750 ISBN 13: 9781789955750
Language: English
Seller: SecondSale, Montgomery, IL, U.S.A.
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Seller: SecondSale, Montgomery, IL, U.S.A.
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Seller: PlumCircle, West Mifflin, PA, U.S.A.
paperback. Condition: Very Good. Publisher overstock. May have remainder mark / minor shelfwear. 99% of orders arrive in 4-10 days. Discounted shipping on multiple books.
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Condition: New.
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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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Seller: HPB-Red, Dallas, TX, U.S.A.
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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Condition: new. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Seller: Die Buchgeister, Ludwigsburg, BW, Germany
US$ 11.73
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Add to basketCondition: Gut. 2017, Bibliotheksexemplar - Einband: leichte Gebrauchsspuren - Seiten: wenige Ecken geknickt.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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ISBN 10: 374750213X ISBN 13: 9783747502136
Language: German
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
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Seller: California Books, Miami, FL, U.S.A.
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Seller: Bookbot, Prague, Czech Republic
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Add to basketSoftcover. Condition: Fair. Spuren von Feuchtigkeit / Nasse; Leichte Abnutzungen. Many of the most innovative breakthroughs and exciting new technologies can be attributed to applications of machine learning. We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services - machine learning makes it all possible. Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively. This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results. You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world.
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Seller: medimops, Berlin, Germany
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Seller: libreriauniversitaria.it, Occhiobello, RO, Italy
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Published by Machinery Industry Press, 2021
ISBN 10: 7111681371 ISBN 13: 9787111681373
Language: Chinese
Seller: liu xing, Nanjing, JS, China
US$ 178.58
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2021-06-01 Pages: 462 Publisher: Machinery Industry Press Since the publication of the first edition. this book has been welcomed by readers.?Compared with similar books. this book not only introduces how to practice with Python and Python-based machine learning software libraries. but also discusses the necessary details of machine learning concepts. and at the same time discusses the working principles. methods of use and how to avoid machine learning algorithms. Fallin.