Machine Learning and AI: Support Vector Machines in Python

Description

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

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

Items taught in this course:

• Applying SVM to applications
• Understanding support vector machine theory
• Working with software for image recognition, spam detection, and regression analysis
• Construction of RBF network and other neural networks

Specifications of the Machine Learning and AI: Support Vector Machines in Python course:

• English language
• Duration: 8 hours and 50 minutes
• Number of courses: 72
• Education level: Intermediate
• Instructor: Lazy Programmer Inc
• File format: mp4

Course headings 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

Course prerequisites

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

Pictures

Sample video

Installation guide

After extracting, watch with your favorite player.

English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 709 MB

Password file(s): www.downloadly.ir

Size

2.69 GB