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Item #:
19139137
Practical Data Science with R, Second Edition
90% of respondents would recommend this to a friend
Item #:
19139137
UZS 857842
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Practical Data Science with R is a remarkable book, packed with both valuable technical material about data science, and practical advice for how to conduct a successful data science project.
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Product Details
- Highly recommended by industry experts and practitioners
- Packed with valuable technical material and practical advice for data science projects
- Includes a chapter on advanced data preparation using the vtreat package
- Covers regularization methods and model explainability
- Provides additional content on data manipulation and wrangling
- Features insights on using xgboost and gradient boosting
| Publisher | Manning Publications |
| Publication date | December 7, 2019 |
| Edition | 2nd |
| Language | English |
| Print length | 568 pages |
| ISBN-10 | 1617295876 |
| ISBN-13 | 978-1617295874 |
| Item Weight | 2.05 pounds (930 grams) |
| Dimensions | 7.38 x 1.42 x 9.25 inches (18.7 x 3.6 x 23.5 cm) |
| Country of Origin | This item will be imported from US |
| Date First Available | April 05, 2021 |
| What is in the box | Practical Data Science with... For more details, please check description/product details |
Product Description
Practical Data Science with R, Second Edition
About This Item
Title: Practical Data Science with R 2nd Edition Introducing the Practical Data Science with R 2nd Edition – your go-to guide for mastering the world of data science. This highly recommended book is filled with shared experiences, practical advice, and expert insights that will empower you to conduct successful data science projects with confidence. In this remarkable edition, you will find valuable technical material, essential for navigating the rapidly evolving field of data science. Whether you are a seasoned practitioner or a beginner, this book is designed to equip you with the knowledge and skills needed to excel in the industry. What sets this book apart is its comprehensive coverage of various aspects of practical data science.
From advanced data preparation techniques using the vtreat package to regularization methods and model explainability, this edition leaves no stone unturned. Dive deeper into data manipulation and wrangling, and discover the power of xgboost and gradient boosting. With each physical copy, you also receive the rights to a free download of a complete e-copy, ensuring that you can access the content anytime, anywhere. Plus, the e-copy includes color figures to enhance your learning experience. Whether you're a data science enthusiast, a professional looking to upskill, or even a beginner exploring the field, this book is your ultimate companion.
Written by experts and packed with real-world examples, it will guide you through the data science process, offering interesting perspectives and valuable insights. Don't miss the opportunity to stay ahead in the data science industry. Grab your copy of Practical Data Science with R 2nd Edition today and explore the vast potential of R programming for data science. Empower yourself with the right skills, knowledge, and tools to unlock a world of data science opportunities and shape the future of the industry. Keywords: practical data science, data science with R, data science 2nd edition, practical data science with R, R 2nd edition, data science with R book, practical data science book, best data science books, data science for beginners, data science learning resources, data science tutorials, R programming for data science, data science career guide, data science job opportunities, data science skills, data science industry, data science trends, data science tools, R programming language, data science projects.
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Intelligence & Semantics Editorial Review
Practical Data Science with R, Second Edition offers a comprehensive guide for intermediate users by presenting practical examples that demystify common tasks in data science. Readers appreciate the careful explanation of R syntax, making it easier for newcomers to grasp the functionality behind the code. Published by Manning Publications, this 568-page book has become a staple for internal ML training in tech companies, showcasing its relevance and quality in the industry. While the content receives high praise, some readers have noted issues with the Kindle edition's formatting and presentation, suggesting that quality checks could further enhance the reading experience.
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Pros
- Ideal for intermediate R and data science professionals
- Clear explanations of R syntax for beginners
- Real-world applications and practical examples
- Trusted by tech companies for internal training
- Concise and easy to read with strong insights
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Features & Benefits
- Highly recommended by industry experts.
- Packed with valuable technical material about data science and practical advice.
- Essential guide for practitioners.
- Includes advanced data preparation using the vtreat package.
- Covers regularization methods and model explainability.
- More on data manipulation and data wrangling and using xgboost/gradient boosting.
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