Mathematics for Data Science: Essential Mathematics for Machine Learning and AI

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$12

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Course Features

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Duration

4 weeks

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

5 hours per week

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Teaching Type

Self Paced

Course Description

For the development of artificial intelligence systems (AI), a solid foundation in mathematics knowledge is essential. What are the essential math skills needed to study machine learning or AI?

This primer course is for you if you don't know much about mathematics or have lost your knowledge.

This course will focus on the three major branches of mathematics that are used in data science, artificial intelligence and calculation: linear algebra and calculus. The course will cover the fundamental topics in each of these areas, from functions and equations to differentiation and optimization to vectors and matrix.

These concepts and techniques will give you the foundational knowledge necessary to launch your machine learning career.

Course Overview

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Alumni Network

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

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Developed Equations, Functions, and Graphs

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Applied Differentiation and Optimization

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Designed Vectors and Matrices

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Applied Statistics and Probability

Target Students

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The course is ideal for anyone who wishes to learn the core mathematics techniques and concepts required to help with their career in AI, machine learning and data science

Course Accreditations

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$12

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