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Lambar abu:
20132262
Data Science Programming All-In-One for Dummies, (Paperback)
Lambar abu:
20132262
XOF 27851
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Yi Oda yanzu, a samu nan da Juma'a, Satumba 25
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What Stands Out
Comprehensive Coverage
Offers an in-depth overview of essential programming languages and data science fundamentals, making it suitable for both beginners and experienced professionals looking to deepen their knowledge.
Practical Examples
Includes real-world applications and practical examples that enhance understanding, enabling readers to apply programming concepts effectively in data science projects.
User-Friendly Format
Structured in a clear and concise manner, this guide facilitates easy navigation and comprehension, catering to various learning styles for effective study and reference.
Bayanin samfur
- 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 format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | January, 2020 |
| Pages | 768 |
| Reading level | General |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | Wiley |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | General |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single 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 weight | 2.2 lb (1 kg) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Aspiring Data Scientists
Individuals looking to enter the data science field will find essential programming skills and concepts clearly outlined.
-
Students and Learners
Students studying data science can use this guide to deepen their understanding of programming languages and data analysis.
-
Professionals Upskilling
Current professionals seeking to transition into data-centric roles can leverage this resource to enhance their programming expertise.
-
Experienced Data Scientists
Veteran data scientists may find the content too basic and lacking advanced insights or techniques in data science.
KWATANCEN ABUN
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!.
Kuna da wata tambaya? Yi taɗi da mu
Tambayoyi & Amsoshi Abokin Ciniki
-
Tambaya:
What programming languages are covered in this book?
Amsa: Python and R -
Tambaya:
Who is this book suitable for?
Amsa: Both beginning students and mid-career professionals -
Tambaya:
Does this book provide guidelines for building projects?
Amsa: Yes, it provides guidelines for building projects to solve real-time problems.
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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Ribobi
- 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
Fursunoni
- May not cover advanced topics in depth
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XOF 27851
Yi Oda yanzu, a samu nan da Juma'a, Satumba 25
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Fasaloli & Fa'idoji
- 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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