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Item #:
224944355
Before Machine Learning Volume 1 - Linear Algebra for A.I: The fundamental mathematics for Data Science and Artificial Intelligence
Item #:
224944355
SCR 628
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What Stands Out
Essential Foundation
Covers fundamental linear algebra concepts necessary for understanding artificial intelligence, ensuring learners grasp the core mathematical principles that underpin advanced data science techniques.
Accessible Learning
Designed for beginners, this volume breaks down complex topics into digestible sections, making it easy for individuals with no prior math background to start learning AI concepts effectively.
Comprehensive Resource
Acts as a thorough reference guide, not just for linear algebra but for its application in AI, supporting readers in developing a strong mathematical framework for various data science problems.
Product Details
| Publisher | Independently published |
| Publication date | April 17, 2026 |
| Language | English |
| Print length | 223 pages |
| ISBN-13 | 979-8257805103 |
| Item Weight | 14.1 ounces (399.74 grams) |
| Dimensions | 6 x 0.51 x 9 inches (15.2 x 1.3 x 22.9 cm) |
| Book 4 of 4 | Before Machine Learning |
Who Should Buy?
-
Aspiring Data Scientists
Individuals looking to build a strong mathematical foundation for pursuing careers in data science will benefit significantly.
-
AI Enthusiasts
People interested in understanding AI concepts will find the linear algebra content crucial for grasping advanced topics.
-
Students and Learners
Students taking courses in machine learning or data science will find this book vital for academic success.
-
Advanced Mathematicians
Professionals with extensive mathematics knowledge may find the content too basic and not sufficiently challenging.
Product Description
Before Machine Learning Volume 1 - Linear Algebra for A.I: The fundamental mathematics for Data Science and Artificial Intelligence
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Linear Editorial Review
Before Machine Learning Volume 1 - Linear Algebra for A.I: The fundamental mathematics for Data Science and Artificial Intelligence offers a comprehensive exploration of essential mathematical concepts needed for understanding AI. With its 2nd edition slated for publication on April 17, 2026, this book is designed to support readers with enhanced typesetting, making it easier to comprehend complex topics. Covering 292 pages, it utilizes a user-friendly format that includes features like Page Flip to enhance the reading experience. Although the book does not have built-in features like X-Ray and Word Wise, its focus remains on delivering critical mathematical insights for aspiring data scientists and AI enthusiasts.
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Pros
- Comprehensive exploration of fundamental mathematics
- User-friendly enhanced typesetting for better comprehension
- Page Flip feature enhances reading experience
- Suitable for aspiring AI and data science learners
- Supported for screen readers
Cons
- No built-in X-Ray or Word Wise features
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