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A gentle and visual introduction to the topic of Convex Optimization. (1/3) This video is the first of a series of three. The plan is as ...

From Gradient Descent to Adam. Here are some optimizers you should know. And an easy way to remember them. SUBSCRIBE ...

A visual-heavy introduction to Linear Programming including basic definitions, solution via the Simplex method, the principle of ...

To further enhance your computer science knowledge, go to https://brilliant.org/b001 to start your 30-day free trial and get 20% off ...

Take the Deep Learning Specialization: http://bit.ly/2vBG4xl Check out all our courses: https://www.deeplearning.ai Subscribe to ...

7 Steps it took to make an algorithm 1606242% faster!!!! Become a backend engineer. Its my favorite site ...

Here we cover six optimization schemes for deep neural networks: stochastic gradient descent (SGD), SGD with momentum, SGD ...

Particle Swarm Optimization (PSO) is one of the most well-regarded stochastic, population-based algorithms in the literature of ...

Metaheuristic algorithms are optimization techniques that use iterative search strategies to explore the solution space and find ...

Optimization Problem in Calculus | BASIC Math Calculus – AREA of a Triangle - Understand Simple Calculus with just Basic Math!

We take a look at Newton's method, a powerful technique in Optimization. We explain the intuition behind it, and we list some of its ...

Optimization relies on algorithms. Here are the basic ideas of how those algorithms work.

In this episode I introduce Policy Gradient methods for Deep Reinforcement Learning. After a general overview, I dive into ...

In this video, we will understand all major Optimization in Deep Learning. We will see what is Optimization in Deep Learning and ...

Genetic algorithms are a really fun part of machine learning and are pretty simple to implement once you understand the ...

That feeling when your package is just miles away, yet takes forever to arrive? That's the Last Mile Problem—the single most ...

A conceptual overview of gradient based optimization algorithms. NOTE: Slope equation is mistyped at 2:20, should be ...

Ant colony optimization algorithms (ACO) is a probabilistic technique for solving computational problems which can be reduced to ...

Please see the updated video at https://youtu.be/MWaJuoFwyv8 The full playlist for Discrete Math I (Rosen, Discrete Mathematics ...

Quantum Machine Learning MOOC, created by Peter Wittek from the University of Toronto in Spring 2019. Lecture 18: Quantum ...