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Essential Math Data Science by Nield Thomas (41 results)
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£ 17.39
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Add to basketCondition: Good. Get fast and secure shipping knowing your purchase helps empower our community to transform their lives through work.
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Essential Math for Data Science : Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Published by O'Reilly Media, Incorporated, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Language: English
£ 20.68
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Paperback. Condition: USED BOOK. USED BOOKS ! Fast Delivery US 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 7-12 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.
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Add to basketPaperback. Condition: used books. used books ! Fast Delivery, Delivery With In 8-12 working Day Only , USA Edition Original Edition. Excellent Quality, Printing In English Language, Quick delivery by FEDEX & DHL. USPS & UPS Act. Our courier service is not available at PO BOX& APO BOX. Ship from India & United States.
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Essential Math for Data Science : Take Control of Your Data With Fundamental Linear Algebra, Probability, and Statistics
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Essential Math for Data Science (Paperback)
Published by O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Language: English
Paperback. Condition: new. Paperback. To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus.Practical examples with Python code will help you see how the math applies to the work you'll be doing, providing a clear understanding of how concepts work under the hood while connecting them to applications like machine learning. You'll get a solid foundation in the math essential for data science, but more importantly, you'll be able to use it to:Recognize the nuances and pitfalls of probability mathMaster statistics and hypothesis testing (and avoid common pitfalls)Discover practical applications of probability, statistics, calculus, and machine learningIntuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and addedPerform calculus derivatives and integrals completely from scratch in PythonApply what you've learned to machine learning, including linear regression, logistic regression, and neural networks To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Essential Math for Data Science
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
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Essential Math for Data Science : Take Control of Your Data With Fundamental Linear Algebra, Probability, and Statistics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 43.42
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Add to basketPaperback. Condition: New. To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus.Practical examples with Python code will help you see how the math applies to the work you'll be doing, providing a clear understanding of how concepts work under the hood while connecting them to applications like machine learning. You'll get a solid foundation in the math essential for data science, but more importantly, you'll be able to use it to:Recognize the nuances and pitfalls of probability mathMaster statistics and hypothesis testing (and avoid common pitfalls)Discover practical applications of probability, statistics, calculus, and machine learningIntuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and addedPerform calculus derivatives and integrals completely from scratch in PythonApply what you've learned to machine learning, including linear regression, logistic regression, and neural networks.
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics (Paperback or Softback)
Published by O'Reilly Media 7/5/2022, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Language: English
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Add to basketPaperback or Softback. Condition: New. Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics 1.23. Book.
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Add to basketPaperback. Condition: New. To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus.Practical examples with Python code will help you see how the math applies to the work you'll be doing, providing a clear understanding of how concepts work under the hood while connecting them to applications like machine learning. You'll get a solid foundation in the math essential for data science, but more importantly, you'll be able to use it to:Recognize the nuances and pitfalls of probability mathMaster statistics and hypothesis testing (and avoid common pitfalls)Discover practical applications of probability, statistics, calculus, and machine learningIntuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and addedPerform calculus derivatives and integrals completely from scratch in PythonApply what you've learned to machine learning, including linear regression, logistic regression, and neural networks.
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
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Add to basketCondition: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
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Essential Math for Data Science: Take Control of Your Data With Fundamental Linear Algebra, Probability, and Statistics
Published by Oreilly & Associates Inc, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Language: English
Paperback. Condition: Brand New. 350 pages. 9.19x7.00x0.73 inches. In Stock.
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Essential Math for Data Science : Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Published by O'reilly Media Jun 2022, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Language: English
£ 59.68
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Add to basketTaschenbuch. Condition: Neu. Neuware - 'Master the math needed to excel in data science, machine learning, and statistics. In this book, . Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insights to maximize your career'--Back cover.
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£ 51.41
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Add to basketKartoniert / Broschiert. Condition: New. Über den AutorThomas Nield is the founder of Nield Consulting Group as well as an instructor at O Reilly Media and University of Southern California. He enjoys making technical content relatable and relevant to those unfamiliar or i.
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Essential Math for Data Science
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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£ 55.91
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Add to basketPaperback. Condition: New. To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus.Practical examples with Python code will help you see how the math applies to the work you'll be doing, providing a clear understanding of how concepts work under the hood while connecting them to applications like machine learning. You'll get a solid foundation in the math essential for data science, but more importantly, you'll be able to use it to:Recognize the nuances and pitfalls of probability mathMaster statistics and hypothesis testing (and avoid common pitfalls)Discover practical applications of probability, statistics, calculus, and machine learningIntuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and addedPerform calculus derivatives and integrals completely from scratch in PythonApply what you've learned to machine learning, including linear regression, logistic regression, and neural networks.
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Essential Math for Data Science (Paperback)
Published by O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Language: English
£ 44.19
Convert currency£ 36.63 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus.Practical examples with Python code will help you see how the math applies to the work you'll be doing, providing a clear understanding of how concepts work under the hood while connecting them to applications like machine learning. You'll get a solid foundation in the math essential for data science, but more importantly, you'll be able to use it to:Recognize the nuances and pitfalls of probability mathMaster statistics and hypothesis testing (and avoid common pitfalls)Discover practical applications of probability, statistics, calculus, and machine learningIntuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and addedPerform calculus derivatives and integrals completely from scratch in PythonApply what you've learned to machine learning, including linear regression, logistic regression, and neural networks To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
