Lectures related to Approximation and Compound Interest

Alpha Go: Machine Learning and Game Strategies

Explores the historical perspective and development of the AlphaGo algorithm, focusing on machine learning and game strategies.

Chess Positions

Explores different chess positions and historical battle tactics, ending with a musical performance.

Positions in Chess: Understanding Strategies

Explores different chess positions and strategic gameplay, accompanied by musical interpretations of library books.

Derivatives and Trigonometry Fundamentals MOOC: Warm-up for EPFL

Introduces derivatives, trigonometry, and motion principles through basic and trigonometric functions differentiation.

Binomial coefficients

Explores binomial coefficients, Pascal's triangle, binomial theorem, and object distribution among persons.

Power Series Computations

Covers power series, generating functions, and operations like addition, multiplication, differentiation, and integration, with examples and the generalized binomial theorem.

Dynamic Programming: Solving Sequential Problems Efficiently

Explores dynamic programming for efficient problem-solving, illustrated with binomial coefficients and Pascal's triangle.

Dynamic Programming: Binomial Coefficients

Explores dynamic programming through binomial coefficients calculation, emphasizing efficiency and memoization in problem-solving.

Deep Q-Learning: DeepRL1.1

Covers Deep Q-learning in deep neural networks, its application in games, backpropagation, Q-values, and V-values.

Real Numbers: Properties and Operations

Covers the properties and operations of real numbers, including divisibility rules and the concept of irreducible fractions.

Permutations and Binomial Coefficients

Explains permutations, binomial coefficients, and multinomial coefficients with practical examples.

The Binomial Theorem

Covers the binomial theorem, Pascal's identity, and triangle with examples and applications.

Extended Binomial Theorem

Explores the Extended Binomial Theorem and counting problems using generating functions.

Combinatorial Mathematics

Explores combinatorial mathematics, covering permutations, combinations, and binomial coefficients, along with probability and statistics concepts.

Newton's Binomial and Real Sequences

Explores Newton's binomial theorem and real sequences with examples and definitions.

General Introduction into Artificial Neural Networks: part 3

Covers learning by rewards in deep reinforcement learning without math details.

Dynamic Programming: Binomial Coefficients Calculation Complexity

Explores the complexity of calculating binomial coefficients using dynamic programming.

First steps toward deep reinforcement learning

Explores the shift to deep reinforcement learning through neural networks for direct policy learning, bypassing Q-values and V-values.

Combinatorics: Counting Methods

Introduces combinatorics and counting methods for determining possible outcomes in various scenarios, illustrated with examples.

Binomial Coefficients: Estimation and Stirling's Formula

Explores binomial coefficient estimation, Stirling's formula, and properties of the bell curve.