Essential Math Data Science by Nield Thomas (40 results)
- Softcover
Seller: Zoom Books East, Glendale Heights, U.S.A.Zoom Books East
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- Softcover
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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.
- Softcover
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Condition: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
- Softcover
Seller: HPB-Diamond, Dallas, U.S.A.HPB-Diamond
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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.
- Softcover
- First Edition
Seller: CollegePoint, Inc, Jamestown, U.S.A.CollegePoint, Inc
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Paperback. Condition: Good. 1st Edition. We only honor returns for quality issues and won't accept reasons such as 'change my mind', 'find a better price', or 'school book requirement change', etc.
- Softcover
Seller: Jadewalky Book Company, HANOVER PARK, U.S.A.Jadewalky Book Company
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US$ 43.99
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Condition: Used - Very Good. Master the math needed to excel in data science, machine learning, and statistics. In this book author 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. Al…ong the way you'll also gain practical insights into the state of data science and how to use those insights to maximize your career.Learn how to: Use Python code and libraries like SymPy, NumPy, and scikit-learn to explore essential mathematical concepts like calculus, linear algebra, statistics, and machine learning Understand techniques like linear regression, logistic regression, and neural networks in plain English, with minimal mathematical notation and jargon Perform descriptive statistics and hypothesis testing on a dataset to interpret p-values and statistical significance Manipulate vectors and matrices and perform matrix decomposition Integrate and build upon incremental knowledge of calculus, probability, statistics, and linear algebra, and apply it to regression models including neural networks Navigate practically through a data science career and avoid common pitfalls, assumptions, and biases while tuning your skill set to stand out in the job market.
- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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- Softcover
Seller: Lakeside Books, Benton Harbor, U.S.A.Lakeside Books
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Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.
- Softcover
Seller: BargainBookStores, Grand Rapids, U.S.A.BargainBookStores
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US$ 49.89
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Paperback or Softback. Condition: New. Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics. Book.
- Softcover
Seller: Rarewaves USA, OSWEGO, U.S.A.Rarewaves USA
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US$ 49.93
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Paperback. 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 examp…les 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.
- Softcover
Seller: PBShop.store US, Wood Dale, U.S.A.PBShop.store US
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US$ 51.65
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: Lucky's Textbooks, Dallas, U.S.A.Lucky's Textbooks
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- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: PBShop.store UK, Fairford, United KingdomPBShop.store UK
Contact seller4-star sellerCondition: New
US$ 49.17
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: California Books, Miami, U.S.A.California Books
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- Softcover
Seller: Rarewaves.com USA, London, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
US$ 57.83
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Paperback. 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 examp…les 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.
- Softcover
Seller: Grand Eagle Retail, Bensenville, U.S.A.Grand Eagle Retail
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US$ 58.56
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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.Prac…tical 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.
- Softcover
Seller: Brook Bookstore On Demand, Napoli, ItalyBrook Bookstore On Demand
Contact seller3-star sellerCondition: New
US$ 56.38
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Condition: new.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
US$ 54.78
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Condition: New.
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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US$ 65.17
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Condition: New.
- Softcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, IrelandKennys Bookshop and Art Galleries Ltd.
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US$ 64.37
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Condition: New. 2022. Paperback. . . . . .
- Softcover
Seller: GoldBooks, Denver, U.S.A.GoldBooks
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Paperback. Condition: new. New Copy. Customer Service Guaranteed.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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US$ 60.63
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
- Softcover
Seller: Kennys Bookstore, Olney, U.S.A.Kennys Bookstore
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Condition: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
- Softcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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Condition: New. 1st edition NO-PA16APR2015-KAP.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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US$ 76.04
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Paperback. Condition: Brand New. 350 pages. 9.19x7.00x0.73 inches. In Stock.
- Softcover
Seller: Biblios, frankfurt am main, GermanyBiblios
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Condition: New.
- Softcover
Seller: Rarewaves USA United, OSWEGO, U.S.A.Rarewaves USA United
Contact seller5-star sellerCondition: New
US$ 53.65
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Paperback. 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 examp…les 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.
- Softcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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US$ 78.98
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Taschenbuch. Condition: Neu. Neuware -Master the math needed to excel in data science, machine learning, and statistics. In this book author 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 net…works. 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. 333 pp. Englisch.
