Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Published by Addison-Wesley Professional 11/15/2024, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Just Enough Data Science and Machine Learning: Essential Tools and Techniques 0.81. Book.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Best Price, Torrance, CA, U.S.A.
Condition: New. SUPER FAST SHIPPING.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
US$ 50.16
Convert currencyQuantity: 15 available
Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Published by Pearson Education (US), Boston, 2025
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: new. Paperback. An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science. In Just Enough Data Science and Machine Learning, authors Mark Levene and Martyn Harris present a comprehensive and accessible introduction to data science. It allows the readers to develop an intuition behind the methods adopted in both data science and machine learning, which is the algorithmic component of data science involving the discovery of patterns from input data. This book looks at data science from an applied perspective, where emphasis is placed on the algorithmic aspects of data science and on the fundamental statistical concepts necessary to understand the subject. The book begins by exploring the nature of data science and its origins in basic statistics. The authors then guide readers through the essential steps of data science, starting with exploratory data analysis using visualisation tools. They explain the process of forming hypotheses, building statistical models, and utilising algorithmic methods to discover patterns in the data. Finally, the authors discuss general issues and preliminary concepts that are needed to understand machine learning, which is central to the discipline of data science. The book is packed with practical examples and real-world data sets throughout to reinforce the concepts. All examples are supported by Python code external to the reading material to keep the book timeless. Notable features of this book: Clear explanations of fundamental statistical notions and conceptsCoverage of various types of data and techniques for analysisIn-depth exploration of popular machine learning tools and methodsInsight into specific data science topics, such as social networks and sentiment analysisPractical examples and case studies for real-world applicationRecommended further reading for deeper exploration of specific topics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: SMASS Sellers, IRVING, TX, U.S.A.
Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Published by Pearson Education (US), US, 2025
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
US$ 60.49
Convert currencyQuantity: 1 available
Add to basketPaperback. Condition: New. An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science. In Just Enough Data Science and Machine Learning, authors Mark Levene and Martyn Harris present a comprehensive and accessible introduction to data science. It allows the readers to develop an intuition behind the methods adopted in both data science and machine learning, which is the algorithmic component of data science involving the discovery of patterns from input data. This book looks at data science from an applied perspective, where emphasis is placed on the algorithmic aspects of data science and on the fundamental statistical concepts necessary to understand the subject. The book begins by exploring the nature of data science and its origins in basic statistics. The authors then guide readers through the essential steps of data science, starting with exploratory data analysis using visualisation tools. They explain the process of forming hypotheses, building statistical models, and utilising algorithmic methods to discover patterns in the data. Finally, the authors discuss general issues and preliminary concepts that are needed to understand machine learning, which is central to the discipline of data science. The book is packed with practical examples and real-world data sets throughout to reinforce the concepts. All examples are supported by Python code external to the reading material to keep the book timeless. Notable features of this book: Clear explanations of fundamental statistical notions and conceptsCoverage of various types of data and techniques for analysisIn-depth exploration of popular machine learning tools and methodsInsight into specific data science topics, such as social networks and sentiment analysisPractical examples and case studies for real-world applicationRecommended further reading for deeper exploration of specific topics.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
US$ 52.14
Convert currencyQuantity: 4 available
Add to basketCondition: New.
Published by Pearson Education (US), 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 48.71
Convert currencyQuantity: 2 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 2 working days. 374.
Published by Pearson Education (US), US, 2025
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condition: New. An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science. In Just Enough Data Science and Machine Learning, authors Mark Levene and Martyn Harris present a comprehensive and accessible introduction to data science. It allows the readers to develop an intuition behind the methods adopted in both data science and machine learning, which is the algorithmic component of data science involving the discovery of patterns from input data. This book looks at data science from an applied perspective, where emphasis is placed on the algorithmic aspects of data science and on the fundamental statistical concepts necessary to understand the subject. The book begins by exploring the nature of data science and its origins in basic statistics. The authors then guide readers through the essential steps of data science, starting with exploratory data analysis using visualisation tools. They explain the process of forming hypotheses, building statistical models, and utilising algorithmic methods to discover patterns in the data. Finally, the authors discuss general issues and preliminary concepts that are needed to understand machine learning, which is central to the discipline of data science. The book is packed with practical examples and real-world data sets throughout to reinforce the concepts. All examples are supported by Python code external to the reading material to keep the book timeless. Notable features of this book: Clear explanations of fundamental statistical notions and conceptsCoverage of various types of data and techniques for analysisIn-depth exploration of popular machine learning tools and methodsInsight into specific data science topics, such as social networks and sentiment analysisPractical examples and case studies for real-world applicationRecommended further reading for deeper exploration of specific topics.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
US$ 63.66
Convert currencyQuantity: 7 available
Add to basketCondition: new.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 48.70
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
US$ 58.27
Convert currencyQuantity: 4 available
Add to basketCondition: New.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Ubiquity Trade, Miami, FL, U.S.A.
US$ 66.96
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. Brand new! Please provide a physical shipping address.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 51.92
Convert currencyQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 58.11
Convert currencyQuantity: 7 available
Add to basketCondition: New. In.
Published by Addison-Wesley Professional 2024-06-21, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
US$ 53.80
Convert currencyQuantity: 7 available
Add to basketPaperback. Condition: New.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Russell Books, Victoria, BC, Canada
First Edition
US$ 56.24
Convert currencyQuantity: Over 20 available
Add to basketpaperback. Condition: New. 1st Edition. Special order direct from the distributor.
Published by Addison-Wesley Professional, 2025
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
First Edition
US$ 68.04
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. 2025. 1st Edition. paperback. . . . . .
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Kennys Bookstore, Olney, MD, U.S.A.
US$ 78.34
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. 2025. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
Seller: UK BOOKS STORE, London, LONDO, United Kingdom
US$ 92.24
Convert currencyQuantity: 5 available
Add to basketPaperback. Condition: Brand New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-11 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India,& United states & United Kingdom. Depending on your location and availability.
Published by Addison-Wesley Professional, 2024
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
US$ 69.91
Convert currencyQuantity: 2 available
Add to basketPaperback. Condition: Brand New. 224 pages. 7.00x0.45x9.13 inches. In Stock.
Published by Pearson Education (US), Boston, 2025
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
US$ 57.22
Convert currencyQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science. In Just Enough Data Science and Machine Learning, authors Mark Levene and Martyn Harris present a comprehensive and accessible introduction to data science. It allows the readers to develop an intuition behind the methods adopted in both data science and machine learning, which is the algorithmic component of data science involving the discovery of patterns from input data. This book looks at data science from an applied perspective, where emphasis is placed on the algorithmic aspects of data science and on the fundamental statistical concepts necessary to understand the subject. The book begins by exploring the nature of data science and its origins in basic statistics. The authors then guide readers through the essential steps of data science, starting with exploratory data analysis using visualisation tools. They explain the process of forming hypotheses, building statistical models, and utilising algorithmic methods to discover patterns in the data. Finally, the authors discuss general issues and preliminary concepts that are needed to understand machine learning, which is central to the discipline of data science. The book is packed with practical examples and real-world data sets throughout to reinforce the concepts. All examples are supported by Python code external to the reading material to keep the book timeless. Notable features of this book: Clear explanations of fundamental statistical notions and conceptsCoverage of various types of data and techniques for analysisIn-depth exploration of popular machine learning tools and methodsInsight into specific data science topics, such as social networks and sentiment analysisPractical examples and case studies for real-world applicationRecommended further reading for deeper exploration of specific topics. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Pearson Education (US), US, 2025
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Paperback. Condition: New. An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science. In Just Enough Data Science and Machine Learning, authors Mark Levene and Martyn Harris present a comprehensive and accessible introduction to data science. It allows the readers to develop an intuition behind the methods adopted in both data science and machine learning, which is the algorithmic component of data science involving the discovery of patterns from input data. This book looks at data science from an applied perspective, where emphasis is placed on the algorithmic aspects of data science and on the fundamental statistical concepts necessary to understand the subject. The book begins by exploring the nature of data science and its origins in basic statistics. The authors then guide readers through the essential steps of data science, starting with exploratory data analysis using visualisation tools. They explain the process of forming hypotheses, building statistical models, and utilising algorithmic methods to discover patterns in the data. Finally, the authors discuss general issues and preliminary concepts that are needed to understand machine learning, which is central to the discipline of data science. The book is packed with practical examples and real-world data sets throughout to reinforce the concepts. All examples are supported by Python code external to the reading material to keep the book timeless. Notable features of this book: Clear explanations of fundamental statistical notions and conceptsCoverage of various types of data and techniques for analysisIn-depth exploration of popular machine learning tools and methodsInsight into specific data science topics, such as social networks and sentiment analysisPractical examples and case studies for real-world applicationRecommended further reading for deeper exploration of specific topics.
Published by Pearson Education (US), Boston, 2025
ISBN 10: 0138340749 ISBN 13: 9780138340742
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
US$ 89.88
Convert currencyQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science. In Just Enough Data Science and Machine Learning, authors Mark Levene and Martyn Harris present a comprehensive and accessible introduction to data science. It allows the readers to develop an intuition behind the methods adopted in both data science and machine learning, which is the algorithmic component of data science involving the discovery of patterns from input data. This book looks at data science from an applied perspective, where emphasis is placed on the algorithmic aspects of data science and on the fundamental statistical concepts necessary to understand the subject. The book begins by exploring the nature of data science and its origins in basic statistics. The authors then guide readers through the essential steps of data science, starting with exploratory data analysis using visualisation tools. They explain the process of forming hypotheses, building statistical models, and utilising algorithmic methods to discover patterns in the data. Finally, the authors discuss general issues and preliminary concepts that are needed to understand machine learning, which is central to the discipline of data science. The book is packed with practical examples and real-world data sets throughout to reinforce the concepts. All examples are supported by Python code external to the reading material to keep the book timeless. Notable features of this book: Clear explanations of fundamental statistical notions and conceptsCoverage of various types of data and techniques for analysisIn-depth exploration of popular machine learning tools and methodsInsight into specific data science topics, such as social networks and sentiment analysisPractical examples and case studies for real-world applicationRecommended further reading for deeper exploration of specific topics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.