AI and Machine Learning for On-Device Development: A Programmer's Guide, 1st Edition Laurence Moroney
Maths for AI: All Mathematics and Statistics you need to know for understand Artificial Intelligence
- Af
- Med
- Forlag
Discover the core principles of Mathematics for Artificial Intelligence in our comprehensive ebook In the Introduction to Mathematics in AI understand the pivotal role of math in AI development Gain insights into its applications and the symbiotic relationship between the two fields
1. Introduction to Mathematics in AI Explore why math is crucial for AI development setting the stage for your learning journey
2. Essential Mathematical Concepts Delve into the foundational principles of AI from algebra to core operations essential for navigating the world of AI
3. Statistics for AI Grasp the statistical fundamentals underpinning AI algorithms Learn to interpret data and make informed decisions
4. Optimization in AI Understand optimization techniques to enhance AI performance finetuning algorithms for efficiency
5. Linear Algebra in AI Unlock the power of linear algebra in AI Explore matrices vectors and their applications
6. Calculus for Machine Learning Navigate calculus tailored for machine learning understanding differentiation and integrations role
7. Probability Theory in AI Unravel the mysteries of probability theory in AI applications gaining insights into probabilistic models
8. Advanced Topics in Mathematics for AI Explore advanced mathematical topics elevating your AI understanding
Stay tuned for sections on implementing AI math concepts with Python exploring math behind popular ML algorithms and applications like computer vision and NLP Build a solid math foundation for AI success
© 2024 Et Tu Code (Lydbog): 9798882479854
Udgivelsesdato
Lydbog: 13. maj 2024
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