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E2EML - How Selected Models and Methods Work

Offered By: YouTube

Tags

Machine Learning Courses Bayes Theorem Courses Decision Trees Courses Autocorrelation Courses K-Nearest Neighbors Courses

Course Description

Overview

Explore the inner workings of key machine learning algorithms and methods in this comprehensive 1.5-hour video lecture from the End to End Machine Learning course. Gain a deep understanding of decision trees, Bayes Theorem, autocorrelation, Support Vector Machines, and k-nearest neighbors. Learn how to open the "black box" of machine learning models and grasp the fundamental concepts behind these powerful tools used in signal processing and statistics.

Syllabus

How decision trees work.
How Bayes Theorem works.
How autocorrelation works.
How Support Vector Machines work / How to open a black box.
How k-nearest neighbors works.


Taught by

Brandon Rohrer

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