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essential math data science de nield thomas (41 résultats)
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Vendeur : Greenway, Chattanooga, TN, Etats-Unis
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Ajouter au panierpaperback. Etat : Very good condition. very clean,fast ship.
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Vendeur : Jadewalky Book Company, HANOVER PARK, IL, Etats-Unis
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Ajouter au panierEtat : 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. 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.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.
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Essential Math for Data Science : Take Control of Your Data With Fundamental Linear Algebra, Probability, and Statistics
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics (Paperback or Softback)
Langue: anglais
Edité par O'Reilly Media 7/5/2022, 2022
ISBN 10 : 1098102932 ISBN 13 : 9781098102937
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
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EUR 42,84
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Ajouter au panierPaperback or Softback. Etat : New. Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics. Book.
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Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Vendeur : Lakeside Books, Benton Harbor, MI, Etats-Unis
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EUR 39,49
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Ajouter au panierEtat : 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!
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Essential Math for Data Science
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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EUR 42,44
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Essential Math for Data Science : Take Control of Your Data With Fundamental Linear Algebra, Probability, and Statistics
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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EUR 44,05
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Ajouter au panierEtat : As New. Unread book in perfect condition.
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Essential Math for Data Science
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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EUR 42,33
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Vendeur : California Books, Miami, FL, Etats-Unis
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Essential Math for Data Science
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
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Ajouter au panierPaperback. Etat : 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
Edité par O'Reilly Media
Vendeur : Academic Book Solutions, Medford, NY, Etats-Unis
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EUR 29,95
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Expédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Ajouter au panierpaperback. Etat : LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.
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Essential Math for Data Science (Paperback)
Langue: anglais
Edité par O'Reilly Media, Sebastopol, 2022
ISBN 10 : 1098102932 ISBN 13 : 9781098102937
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
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EUR 51,61
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Ajouter au panierPaperback. Etat : 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.
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Essential Math for Data Science
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
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EUR 59,54
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Expédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback. Etat : 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
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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EUR 42,32
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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EUR 48,47
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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EUR 46,41
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Ajouter au panierpaperback. Etat : New.
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Vendeur : GoldBooks, Denver, CO, Etats-Unis
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EUR 62,20
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
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EUR 53,63
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Ajouter au panierEtat : New. 2022. Paperback. . . . . .
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Essential Math for Data Science : Take Control of Your Data With Fundamental Linear Algebra, Probability, and Statistics
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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EUR 50,23
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Ajouter au panierEtat : As New. Unread book in perfect condition.
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Vendeur : Books Puddle, New York, NY, Etats-Unis
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EUR 70,13
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Ajouter au panierEtat : New. 1st edition NO-PA16APR2015-KAP.
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
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EUR 66,27
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Ajouter au panierEtat : 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
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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EUR 66,92
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Essential Math for Data Science: Take Control of Your Data With Fundamental Linear Algebra, Probability, and Statistics
Langue: anglais
Edité par Oreilly & Associates Inc, 2022
ISBN 10 : 1098102932 ISBN 13 : 9781098102937
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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EUR 65,04
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Ajouter au panierPaperback. Etat : Brand New. 350 pages. 9.19x7.00x0.73 inches. In Stock.
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Essential Math for Data Science
Langue: anglais
Edité par O'reilly Media Jun 2022, 2022
ISBN 10 : 1098102932 ISBN 13 : 9781098102937
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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EUR 65,50
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Ajouter au panierTaschenbuch. Etat : 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 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. 333 pp. Englisch.
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Essential Math for Data Science
Langue: anglais
Edité par O'reilly Media Jun 2022, 2022
ISBN 10 : 1098102932 ISBN 13 : 9781098102937
Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
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EUR 65,50
EUR 23 shipping
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Ajouter au panierTaschenbuch. Etat : 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 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. 333 pp. Englisch.
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EUR 43,55
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Expédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : NEW.
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Essential Math for Data Science
Langue: anglais
Edité par O'reilly Media Jun 2022, 2022
ISBN 10 : 1098102932 ISBN 13 : 9781098102937
Vendeur : Wegmann1855, Zwiesel, Allemagne
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EUR 65,50
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Ajouter au panierTaschenbuch. Etat : 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 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.
-
Essential Math for Data Science
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
EUR 51,27
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Ajouter au panierPaperback. Etat : 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.
