Mastering Data Science: From Fundamentals to Frontier Technologies
Mastering Data Science offers a comprehensive exploration into the expansive world of data science, tailored for students, professionals, and enthusiasts seeking to build or deepen their understanding. The book covers essential core topics such as data collection, cleaning, analysis, and visualization, while also introducing readers to specialized areas including machine learning, deep learning, natural language processing, and big data technologies. Foundational skills like programming, statistics, and mathematics are interwoven throughout, alongside a critical discussion on ethical considerations including data privacy and bias. Practical examples and case studies ensure relevance to real-world applications, making this an indispensable guide in the age of data.
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Mastering Data Science: From Fundamentals to Frontier Technologies
Mastering Data Science offers a comprehensive exploration into the expansive world of data science, tailored for students, professionals, and enthusiasts seeking to build or deepen their understanding. The book covers essential core topics such as data collection, cleaning, analysis, and visualization, while also introducing readers to specialized areas including machine learning, deep learning, natural language processing, and big data technologies. Foundational skills like programming, statistics, and mathematics are interwoven throughout, alongside a critical discussion on ethical considerations including data privacy and bias. Practical examples and case studies ensure relevance to real-world applications, making this an indispensable guide in the age of data.
14.86
In Stock
5
1
Mastering Data Science: From Fundamentals to Frontier Technologies
186
Mastering Data Science: From Fundamentals to Frontier Technologies
186
14.86
In Stock
Product Details
| ISBN-13: | 9783819430695 |
|---|---|
| Publisher: | via tolino media |
| Publication date: | 07/31/2025 |
| Sold by: | Libreka GmbH |
| Format: | eBook |
| Pages: | 186 |
| File size: | 322 KB |
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