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Linear Algebra For Machine Learning

Linear Algebra For Machine Learning

This is a series of videos for people who interested in learning Machine Learning,ML. It begins with several videos on linear algebra necessary to build a solid foundation in Python and imported libraries were invoked to solve mathematical problems that are ordinarily regarded as complex .

Overview

Description
This course is a series of video by Ayokunle Olaniyi, a global trainer in coding ,machine learning, secure coding,iso 27001,27032,Azure and AWS.

The series is about the essentials of "linear algebra in machine learning"

This is a series of videos for people who interested in learning Machine Learning,ML. It begins with several videos on linear algebra necessary to build a solid foundation in Python and imported libraries were invoked to solve mathematical problems that are ordinarily regarded as complex .Several lines of codes would be written to solve this particular problem in other languages online in Python where just a line of code would be written to do all the complex thing. Topics range from Numpy , vectors,matrices ,operations, sensors, factorization to statistics.

Beyond this series , you should look up for our other series in this course to lead to solid path to Complete Machine Learning.

Course Information

High school maths
Basics of Programming

Basics of machine learning using python and its libraries

Beginner Data Science Students
Students facing difficulty in understanding Mathematical prerequisites of Python and Data Science

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Our great AI and Machine Learning courses include Artificial Intelligence, Coding and Programming. 

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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