EUR 42,78
Convertir monedaCantidad disponible: 15 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
EUR 47,03
Convertir monedaCantidad disponible: 15 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
EUR 49,29
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
EUR 43,58
Convertir monedaCantidad disponible: 8 disponibles
Añadir al carritoCondición: NEW.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 48,31
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Publicado por O'Reilly Media 7/5/2022, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 42,85
Convertir monedaCantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics 1.23. Book.
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 51,08
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 48,48
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 53,78
Convertir monedaCantidad disponible: 8 disponibles
Añadir al carritoCondición: New. 2022. Paperback. . . . . .
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 40,51
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 57,16
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
Publicado por O'Reilly Media, Inc, USA, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 50,73
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 660.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 42,77
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 44,07
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por O'Reilly Media 2022-06-10, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 46,44
Convertir monedaCantidad disponible: 8 disponibles
Añadir al carritoPaperback. Condición: New.
EUR 61,98
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 56,80
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 65,64
Convertir monedaCantidad disponible: 8 disponibles
Añadir al carritoCondición: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 50,05
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: moluna, Greven, Alemania
EUR 52,31
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoKartoniert / Broschiert. Condición: 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.
Publicado por Oreilly & Associates Inc, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 65,05
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 350 pages. 9.19x7.00x0.73 inches. In Stock.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 67,47
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Publicado por O'Reilly Media
Librería: Academic Book Solutions, Medford, NY, Estados Unidos de America
EUR 29,95
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.
Publicado por O'reilly Media Jun 2022, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 66,00
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Publicado por O'reilly Media Jun 2022, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Idioma: Inglés
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
EUR 66,00
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Publicado por O'reilly Media Jun 2022, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Idioma: Inglés
Librería: Wegmann1855, Zwiesel, Alemania
EUR 66,00
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Publicado por O'reilly Media Jun 2022, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 67,03
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Librería: Big River Books, Powder Springs, GA, Estados Unidos de America
EUR 15,12
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoCondición: 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.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 67,27
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Publicado por O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098102932 ISBN 13: 9781098102937
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 48,80
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.