Introduction to Data Science, (Hardcover)
93% of respondents would recommend this to a friend
AMD 52602
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Systematically introduces the basic contents of data science with practical analysis cases.
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Информация о продукте
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | December, 2023 |
| Pages | 444 |
| Subgenre | Discrete Mathematics |
| Series title | No Series |
| Edition | 1 |
| Publisher | World Scientific Publishing Company |
| Original languages | English |
| Translator | Binyang Li; Shumin Shi |
| Language | English |
| Edu focus | Mathematics, Technology |
| Educational level | College |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 1.00 x 9.00 in (15.2 x 2.5 x 22.9 cm) |
| Assembled product weight | 1.68 lb (760 grams) |
| Bisac subject heading | Mathematics |
Who Should Buy?
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Beginner Learners
Ideal for newcomers to data science who want a comprehensive understanding of essential concepts and methodologies.
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Academic Students
Perfect for college students pursuing data science or related fields needing a foundational textbook for coursework.
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Professionals Transitioning
Useful for professionals in other fields looking to pivot into data science with a structured introduction.
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Advanced Practitioners
Not suitable for seasoned data scientists seeking in-depth technical content or advanced methodologies.
ОПИСАНИЕ ТОВАРА
Introduction to Data Science, (Hardcover)
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Ou Gaoyan All Books Editorial Review
Introduction to Data Science, (Hardcover) is a comprehensive non-fiction textbook designed for college-level education, focusing on essential topics in mathematics and technology. With 444 pages of content published by World Scientific Publishing Company, it’s perfect for those studying discrete mathematics. The hardcover format ensures durability, making it suitable for academic environments. Reviewers appreciate the clarity of the text and its practical approach to complex subjects, aiding in better understanding. This book could also serve as a valuable resource for anyone interested in data science fundamentals.
Customer Reviews & Ratings
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Плюсы
- Durable hardcover format ideal for academic use
- Comprehensive guide for college students
- Focuses on mathematics and technology disciplines
- Clear explanations of complex topics
- Suitable for discrete mathematics studies
Минусы
- May not appeal to casual readers of data science
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Особенности и преимущества
- Comprehensive introduction to data science concepts.
- Covers data preprocessing and basic analysis methods.
- Addresses specialized problems like text analysis.
- Includes deep learning and distributed systems.
- Features numerous practical data analysis cases.
- Ideal for both theoretical understanding and hands-on practice.
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