Machine Learning and AI: Support Vector Machines in Python

Online Course

Udemy

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What is the course about?

Machine Learning and AI: Support Vector Machines in Python

The course Machine Learning and AI: Support Vector Machines in Python is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Artificial Intelligence and Data Science Algorithms in Python for Classification and Regression

Course description

Machine Learning and AI: Support Vector Machines in Python

Apply SVMs to practical applications: image recognition, spam detection, medical diagnosis, and regression analysis
Understand the theory behind SVMs from scratch (basic geometry)
Use Lagrangian Duality to derive the Kernel SVM
Understand how Quadratic Programming is applied to SVM
Support Vector Regression

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

9 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion
Lazy Programmer Inc.

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Prerequisites & Facts

Machine Learning and AI: Support Vector Machines in Python

Course Topic

Data Science, Development, Machine Learning

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Machine Learning and AI: Support Vector Machines in Python

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

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Machine Learning and AI: Support Vector Machines in Python

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