Part 1: Formal Definition of a Limit
This video states the formal definition of a limit and provide an epsilon delta proof that a limit exists. complete Video Library at http://www.mathispower4u.com
From playlist Limits
In this video, you’ll learn strategies for making decisions large and small. Visit https://edu.gcfglobal.org/en/problem-solving-and-decision-making/ for our text-based tutorial. We hope you enjoy!
From playlist Making Decisions
From playlist Decision Tree Learning
(ML 11.4) Choosing a decision rule - Bayesian and frequentist
Choosing a decision rule, from Bayesian and frequentist perspectives. To make the problem well-defined from the frequentist perspective, some additional guiding principle is introduced such as unbiasedness, minimax, or invariance.
From playlist Machine Learning
How to Compute a One Sided limit as x approaches from the right
In this video I will show you How to Compute a One Sided limit as x approaches from the right.
From playlist One-sided Limits
Introduction to Limits at Infinity (Part 1)
This video introduces limits at infinity. https://mathispower4u.com
From playlist Limits at Infinity and Special Limits
Determining Limits of Trigonometric Functions
An introductory video on determining limits of trigonometric functions. http://mathispower4u.wordpress.com/
From playlist Limits
The Dimpled Manifold Model of Adversarial Examples in Machine Learning (Research Paper Explained)
#adversarialexamples #dimpledmanifold #security Adversarial Examples have long been a fascinating topic for many Machine Learning researchers. How can a tiny perturbation cause the neural network to change its output by so much? While many explanations have been proposed over the years, t
From playlist Papers Explained
Logistic Regression - VISUALIZED!
People talk about "sigmoid functions", "decision boundaries" and “Training”. But what exactly is happening behind the scenes? Let’s see for ourselves! Please SUBSCRIBE to me for more content! Shoutout to 3blue1brown for creating his animation math engine “manim”. Give this a * on your
From playlist Logistic Regression
16 Machine Learning: Support Vector Machines
Support vector machines, including projection to a higher dimensional predictor feature space.
From playlist Machine Learning
Lecture 0303 Decision boundary
Machine Learning by Andrew Ng [Coursera] 03-01 Logistic Regression
From playlist Machine Learning by Professor Andrew Ng
Linear classifiers (1): Basics
Definitions; decision boundary; separability; using nonlinear features
From playlist cs273a
Statistical Learning: 9.R.2 Nonlinear Support Vector Machine
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
This video covers the properties of limits and verifies them graphically.
From playlist Limits