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Data Science Programming All-In-One for Dummies, (Paperback)
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Data Science Programming All-In-One for Dummies, (Paperback)
It clearly pays dividends to be in the know.
Data Science Programming All-In-One for Dummies, (Paperback)
Nº de artículo: 20132262

Data Science Programming All-In-One for Dummies, (Paperback)

Nº de artículo: 20132262

PYG 329328

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Get your hands on the best-selling Data Science Programming All-In-One for Dummies paperback. Written by John Paul Mueller and Luca Massaron, this book covers it all. Available in paperback format. Shop now at Ubuy Paraguay!
  • A comprehensive guide to the fundamentals of data science programming
  • Covers linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models
  • Includes Python and R, the key programming languages for data science, machine learning, and deep learning
  • Helps you choose the best programming languages for your specific data science needs
  • Provides guidelines to build your own projects and solve real-time problems
  • Suitable for both beginners and experienced data professionals
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateJanuary, 2020
Pages768
Reading levelGeneral
SubgenreData Science
Series titleNo Series
Edition1
PublisherWiley
Original languagesEnglish
LanguageEnglish
Edu focusMathematics
Educational levelGeneral
Is collectibleN
Binding typePerfect Binding
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)7.40 x 1.60 x 9.20 in (18.8 x 4.1 x 23.4 cm)
Assembled product weight2.2 lb (1 kg)
Bisac subject headingComputers

DESCRIPCIÓN DEL PRODUCTO

Data Science Programming All-In-One for Dummies, (Paperback)

About This Item

Introducing the Data Science Programming All-In-One for Dummies Paperback! Whether you're a beginner looking to dive into the world of data science or an experienced programmer aiming to enhance your skills, this comprehensive guide has got you covered. Authored by industry experts John Paul Mueller and Luca Massaron, this book provides a complete roadmap to mastering data science programming. With its step-by-step instructions and practical examples, you'll gain a thorough understanding of the fundamentals while exploring advanced topics. Inside, you'll find easy-to-follow tutorials that cover a wide range of data science programming languages and tools. From Python and R to SQL and TensorFlow, you'll learn how to harness the power of these languages to manipulate and visualize data, build machine learning models, and extract valuable insights. Not only will you develop the necessary programming skills, but you'll also discover how to apply them in an e-commerce context.

This book delves into the intricacies of e-commerce programming, covering topics such as website development, e-commerce platforms, online store optimization, marketing strategies, and more. Additionally, you'll explore essential topics like e-commerce security, analytics, and the latest industry trends. By understanding the importance of customer retention, conversion optimization, and user experience, you'll be equipped to create successful e-commerce ventures. Whether you're a business owner, a data scientist, or simply curious about the intersection of data science and e-commerce, the Data Science Programming All-In-One for Dummies Paperback is the ultimate resource for unlocking your potential in this field. Get your copy today and embark on your journey towards becoming a data science programming guru!.

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John Paul Mueller All Books Editorial Review

Data Science Programming All-In-One for Dummies, (Paperback) is a comprehensive guide that covers various aspects of data science in a non-fiction format. With 768 pages of valuable content published by Wiley in January 2020, this book is designed for a general reading level, making it accessible to a wide audience. It encompasses various topics within the computing and internet genre, focused primarily on mathematics related to data science. The perfect binding ensures durability, while its dimensions make it a practical addition to any bookshelf. Readers looking to delve into data science will find this resource both informative and engaging.

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ventajas

  • Comprehensive coverage of data science topics
  • Accessible for general readers
  • Published by a reputable publisher
  • Durable perfect binding for longevity
  • Well-organized content for easy navigation

Contras

  • May not cover advanced topics in depth

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PYG 329328

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características y beneficios

  • Logical, linear guide to data science programming
  • Covers key programming languages: Python and R
  • Helps decide which languages are best for specific needs
  • Guidelines for building projects to solve real-time problems
  • Ideal for both beginning students and mid-career professionals

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