Machine Learning Introduction for Everyone

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4.5

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Course Features

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Duration

7 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

7 hours

Course Description

This course covers machine learning and data science. It is designed for anyone with a basic understanding of machine-learning models. Machine learning's history, applications, lifecycles, and tools will be covered. Learn about unsupervised and supervised learning, classification, regression and evaluating machine-learning models. These data science and machine learning concepts are taught in our labs. This will allow you to develop machine learning skills and create a final project that demonstrates your proficiency.

Course Overview

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Definition, history, fundamentals and applications of machine learning

Identify opportunities to leverage machine learning in your career

Course Instructors

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Aije Egwaikhide

IBM

Aije Egwaikhide is a Data Scientist at IBM who holds a degree in Economics and Statistics from the University of Manitoba and a Post-grad in Business Analytics from St. Lawrence College, Kingston. Sh...
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Yasmine Hemmati

Instructor

Yasmine Hemmati is the instructor for this course
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