Simplifying Mathematics Behind AI

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Mathematics is the backbone of Artificial Intelligence (AI), yet it can feel intimidating to those starting their AI journey. This beginner-friendly session simplifies and explains the essential mathematical concepts behind AI in an intuitive and easy-to-follow manner.

Explore core topics of mathematics AI, like linear algebra, calculus, probability, and statistics. Learn how these concepts come together to create algorithms that drive intelligent systems. This webinar will give you the strong foundational understanding, insights, and confidence to explore AI, even if math feels intimidating.

Key Takeaways:
- Explore why mathematics is essential for artificial intelligence and how it powers AI models and systems.
- Learn simplified explanations of key mathematical concepts like linear algebra, calculus, and probability.
- Discover how mathematical concepts connect to real-world AI applications.

#calculus #linearalgebra #mathematics #vectorembeddings #artificialintelligence
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Table of Contents:
00:00 - Session Overview
03:37 - Role of Mathematics in AI
05:50 - The Importance of Mathematics in AI Models
06:44 - Linear Algebra: Patterns into Matrices
07:05 - Calculus: Optimizing Models for Accuracy
08:02 - Plotting Data and Identifying Patterns
13:38 - Slope and Intercept of a Line
19:14 - Gradients and Their Role in AI
25:09 - Calculating Derivatives for Curved Lines
29:22 - Gradient Descent: Minimizing Cost Functions
34:06 - Vectors and Their Role in AI
38:01 - Matrices: Representing Data in AI
41:07 - Transforming Text into Numerical Representations
44:04 - Word Embeddings and Semantic Relationships
50:28 - Applications and Tools
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