Explore logistic regression and the perceptron algorithm in this 45-minute video that offers a visual, math-light introduction to these fundamental machine learning concepts. Learn how to build an email spam classifier, understand the goals of classification, and discover techniques for moving and adjusting decision boundaries. Dive into the Perceptron Trick, explore error calculation methods, and grasp the basics of gradient descent. Get a friendly introduction to deep learning and neural networks, including activation functions and log-loss error. Compare the Perceptron Algorithm with logistic regression, gaining valuable insights into these essential machine learning techniques without the need for advanced mathematical knowledge.
Logistic Regression and the Perceptron Algorithm - A Friendly Introduction
Overview
Syllabus
Introduction
Series of 3 videos
E-mail spam classifier
Classification goal: split data
How to move a line
Rotating and translating
Perceptron Trick
Correctly and incorrectly classified points
Positive and negative regions
Perceptron Error
Gradient Descent
A friendly introduction to deep learning and neural networks
Activation function sigmoid
Log-Loss Error
Perceptron Algorithm
Logistic regression algorithm
Thank you!
Taught by
Serrano.Academy
Related Courses
-
AI skills for Engineers: Supervised Machine Learning
-
Machine Learning - Regression and Classification (math Inc.)
-
Machine Learning and Deep Learning Bootcamp in Python
-
All-in-One:Machine Learning,DL,NLP,AWS Deply [Hindi][Python]
-
A Friendly Introduction to Deep Learning and Neural Networks
-
Support Vector Machines - A Friendly Introduction
