Description
Machine Learning and Artificial Intelligence: Support Vector Machines in Python is a course where you learn about artificial intelligence, support vector machines and data science algorithms in Python, and learn about classification and regression. Support vector machine is one of the most powerful machine learning models used for classification. Deep learning is the talk of the town these days, and this course tries to teach you valuable material in the field.
One of the problems with the support vector machine is that it is theoretical and many students simply skip it. In this training, we try to show you all the theoretical topics about Support Vector Machine and how it works in a step-by-step and practical way. We’ll 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 for Vector Machines in Python:
- English
- Duration: 8 hours and 50 minutes
- Number of lessons: 72
- Education level: average
- Instructor: Lazy Programmer Inc.
- File format: mp4
Machine Learning and Artificial Intelligence Course Titles: Support Vector Machines
72 lectures 08:50:20
welcome
4 lectures 18:51
Beginner’s corner
7 lectures 46:36
An overview 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
Apps 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 / Matrix Geometry, Basic Probability
- Python and Numpy coding
- Logistic regression
Pictures
Sample movie
installation manual
After extracting, watch with your favorite player.
english subtitles
Quality: 720p
Download link
File password(s): free download software
size
2.69 GB