Udemy – Machine Learning and AI: Support Vector Machines in Python 2019-4

Description

Machine Learning and AI: Support Vector Machines in Python is a course in which you learn about artificial intelligence, support vector machines, and data science algorithms in Python, and learn how to classify and regress. The support vector machine is one of the most powerful machine learning models used for classification. Today, talk of deep learning is heard everywhere, and this course tries to teach you valuable material in this field.

One of the problems with the support vector machine is that it is theoretically learned and many students simply ignore it. In this training course, we try to show you with a step-by-step and practical method all the theoretical topics about the support vector machine and how it works. We use logistic regression as a starting point and then teach you other SVM topics.

Items that will be taught in this course

Apply SVM to applications

Understand support machine vector theory

Work with image recognition, spam detection, and regression analysis software

Build RBF networks and other neural networks

Machine Learning and AI course specifications: Support Vector Machines in Python

English language

Duration: 8 hours and 50 minutes

Number of courses: 72

Level of education: Intermediate

Instructor: Lazy Programmer Inc

File format: mp4

Course Topics Machine Learning and AI: Support Vector Machines

72 lectures 08:50:20

Welcome 4 lectures 18:51

Beginner’s Corner 7 lectures 46:36

Review of Linear Classifiers 7 lectures 50:14

Linear SVM 10 lectures 01:06:27

Duality 7 lectures 43:47

Kernel Methods 9 lectures 51:14

Implementations and Extensions 8 lectures 54:21

Neural Networks (Beginner’s Corner 2) 8 lectures 50:24

Appendix / FAQ 12 lectures 02:28:26

Prerequisite

Calculus, Matrix Arithmetic / Geometry, Basic Probability

Python and Numpy coding

Logistic Regression

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p