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Item #:
62638
Machine Learning: The Art and Science of Algorithms that Make Sense of Data
Item #:
62638
GBP 26
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What Stands Out
Comprehensive Coverage
This book offers a thorough exploration of machine learning principles, techniques, and algorithms, making it ideal for both beginners and experienced practitioners seeking to deepen their understanding of data-driven decision-making.
Practical Examples
Rich in real-world applications, the book illustrates how algorithms function in various scenarios, enabling readers to grasp complex concepts while providing insights into effective problem-solving strategies in data analysis.
Expert Insights
Authored by leading experts, the text provides valuable perspectives on current trends and future directions in machine learning, equipping readers with knowledge that enhances their skills and marketability in the rapidly evolving tech landscape.
Product Details
| Publisher | Cambridge University Press |
| Publication date | November 12, 2012 |
| Edition | 1st |
| Language | English |
| Print length | 409 pages |
| ISBN-10 | 1107422221 |
| ISBN-13 | 978-1107422223 |
| Item Weight | 1.94 pounds (880 grams) |
| Dimensions | 7.44 x 0.98 x 9.69 inches (18.9 x 2.5 x 24.6 cm) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners seeking a fundamental understanding of machine learning concepts and algorithms in data analysis.
-
Academic Researchers
Useful for researchers wanting to explore the theoretical underpinnings and applications of algorithms in various disciplines.
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Industry Professionals
Beneficial for professionals looking to enhance their skills in machine learning and implement practical solutions in their work.
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Complete Beginners
May be too technical for those with no prior knowledge of machine learning or programming concepts and terminology.
Product Description
Machine Learning: The Art and Science of Algorithms that Make Sense of Data
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Computer Vision & Pattern Recognition Editorial Review
Machine Learning: The Art and Science of Algorithms that Make Sense of Data is a comprehensive text published by Cambridge University Press. It spans 409 pages and presents intricate mathematical foundations of machine learning, making it a rewarding choice for those comfortable with theory. Although it is deemed challenging, as noted in reviews, it serves as a valuable guide for serious learners. Many readers appreciate the thorough explanations provided by the author, yet caution potential buyers that the book is rigorous in nature and focuses heavily on concepts over practical applications. For those aiming to deepen their understanding, this book provides robust insights into machine learning fundamentals.
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Pros
- In-depth exploration of machine learning theories
- Detailed explanations of complex concepts
- Rich with beautiful graphs and figures
- Great for readers with a math background
- Summaries at the end of chapters for better understanding
Cons
- Figures and graphs could be larger for better clarity
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GBP 26
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