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Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence
SLE 1119
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This book will get you started in machine learning in a smooth and natural way, preparing you for more advanced topics.
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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
Customer Questions & Answers
-
Question:
Is this book suitable for beginners?
Answer: Yes, it is designed to help beginners start learning machine learning comfortably. -
Question:
What mathematical concepts are covered?
Answer: The book covers essential math concepts needed for understanding machine learning. -
Question:
Will I be prepared for advanced topics after this book?
Answer: Absolutely! It builds a solid foundation for tackling more complex machine learning subjects.
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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SLE 1119
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Features & Benefits
- Unlock the future of data science and AI with machine learning.
- Master the mathematics behind machine learning step by step.
- Clear up confusion with simple, detailed examples.
- Build a strong foundation for advanced machine learning topics.
- Overcome the intimidation factor in learning machine learning.
- Ideal for beginners looking to break into the field.
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