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

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 the Python language and learn how to classify and regress. The support vector machine is one of the most powerful machine learning models used for classification. Today, there is talk of deep learning everywhere, and this course tries to teach you valuable material in this area.

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

Courses taught in this course:

• Apply SVM to application software
• Understand the theory of machine vector support
• Work with image recognition software, spam detection, and regression analysis
• Build RBF 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 lessons: 72
• Level of education: Medium
• Instructor: Lazy Programmer Inc.
• File format: mp4

Machine Learning and AI Course Titles: 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

Course prerequisites

• Calculus, Arithmetic / Geometry Matrix, Basic Probability
• Python and Numpy coding
• Logistic Regression

Pictures

Sample movie

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download Section 1 – 1 GB

Download Section 2 – 1 GB

Download Section 3 – 709 MB

Size

2.69 GB