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21277831
MIT Press Essential Knowledge Data Science, (Paperback)
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Item #:
21277831
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A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.
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What Stands Out
Comprehensive Overview
Covers foundational concepts and applications in data science, making it suitable for beginners and experts alike, ensuring a well-rounded understanding of the field.
Accessible Format
Presented in paperback, this edition is easy to read and handle, perfectly suited for students and professionals seeking a practical guide without the burden of heavy textbooks.
Expert Insights
Authored by leading academics, this book offers authoritative perspectives and current trends in data science, providing readers with valuable insights to drive their learning and application.
Product Details
- Concise introduction to data science
- Explains data science's evolution and relation to machine learning
- Covers current uses and data infrastructure issues
- Discusses ethical challenges in data science
- Addresses the impact of big data and social media
- Reviews legal and ethical issues, data regulation, and privacy preservation
| Publication date | April, 2018 |
| Author | MIT Press |
| Book format | Paperback |
| Genre | Computing & Internet |
| Pages | 280 |
| Age group | Adult |
| Binding type | Perfect Binding |
| Series title | MIT Press Essential Knowledge |
| Fiction/nonfiction | Non-Fiction |
| Publisher | MIT Press |
| Reading level | General, 18 |
| Subgenre | Data Science |
| Original languages | English |
| Is collectible | N |
| Bisac subject heading | Computers |
| Edition | 1 |
| Language | English |
| Pub date | 2018-04-13 |
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
-
Beginners in Data Science
Ideal for individuals new to data science, providing foundational knowledge and a clear understanding of the field.
-
Academics and Researchers
Useful for those in academia who need a concise overview of key data science concepts and methodologies.
-
Professionals Seeking Skills
Great for professionals looking to enhance their data science skills for career advancement or transition into the field.
-
Advanced Practitioners
Not suitable for individuals with extensive experience in data science; lacks advanced topics or complex theories.
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USD 27
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Features & Benefits
- Concise introduction to data science and its evolution.
- Explains the relationship between data science and machine learning.
- Covers current applications in various sectors, including marketing and healthcare.
- Discusses data infrastructure challenges and ethical considerations.
- Offers insights into data regulation and privacy preservation.
- Provides principles for success in data science projects.
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