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Item #:
254227269
Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence
Item #:
254227269
USD 44
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What Stands Out
Comprehensive Curriculum
Offers a thorough exploration of mathematical concepts essential for data science and AI, ensuring learners develop a strong foundational understanding necessary for advanced applications.
Practical Applications
Focuses on real-world usage of math in machine learning, enabling users to apply theoretical knowledge to practical challenges, improving retention and comprehension.
Accessibility
Designed for diverse audiences, this resource simplifies complex topics, making advanced math concepts approachable for beginners and enhancing their confidence in tackling data-driven projects.
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Education, Nonfiction |
| Publication date | July, 2018 |
| Pages | 154 |
| Subgenre | Mathematics |
| Publisher | Amazon Digital Services LLC - KDP Print US |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics, Technology |
| Binding type | Perfect Binding |
| Assembled product height | 0.33 in |
| Assembled product weight | 0.82 lb (370 grams) |
| Bisac subject heading | Education, Mathematics |
Product Description
Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence
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Richard Han All Books Editorial Review
Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence is a non-fiction paperback that delves into critical mathematical concepts vital for understanding machine learning and data science. With 154 pages of insightful content published in July 2018, this book focuses on mathematics and technology, making it an excellent choice for those looking to strengthen their foundational knowledge in a rapidly evolving field. Readers have noted its clear explanations and practical examples, making complex topics more accessible. This book promises to equip readers with the tools needed to approach machine learning confidently and effectively.
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Pros
- Clear explanations of complex mathematical concepts
- Focus on practical applications in data science
- Suitable for beginners in machine learning
- Concise format with only 154 pages
- Easy to understand for readers of all backgrounds
Cons
- Some topics may require prior knowledge of mathematics
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USD 44
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