Essential Math for Machine Learning (with R) Training

Live Online & Classroom Enterprise Training

Machine learning and AI are built on mathematical principles like Calculus, Linear Algebra, Probability, Statistics, and Optimization; and many would-be AI practitioners find this daunting.

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What is Essential Math for Machine Learning (with R) Course about?

Machine learning and AI are built on mathematical principles like Calculus, Linear Algebra, Probability, Statistics, and Optimization; and many would-be AI practitioners find this daunting. This course is not designed to make you a mathematician. Rather, it aims to help you learn some essential foundational concepts and the notation used to express them. The course provides a hands-on approach to working with data and applying the techniques you've learned.

This course is not a full math curriculum. It's not designed to replace school or college math education. Instead, it focuses on the key mathematical concepts that you'll encounter in studies of machine learning. It is designed to fill the gaps for students who missed these key concepts as part of their formal education, or who need to refresh their memories after a long break from studying math.

What are the objectives of Essential Math for Machine Learning (with R) Course ?

Gain a comprehensive understanding of the basics and core concepts of Mathematical Functions, Equations and Graph
Learn the main principles which lie behind Optimization and Differentiation
Master the skills of using Differential Calculus and Derivatives
Build clear and string concepts of Matrices and Vectors
Gain a strong understanding of Probability and Statistics

Who is Essential Math for Machine Learning (with R) Course for?

Data Analysts and Data Scientists
IT Professionals and Experts
Programmers

What are the prerequisites for Essential Math for Machine Learning (with R) Course?

Basic knowledge of math.
Some programming experience – R is preferred.
A willingness to learn through self-paced study.

Available Training Modes

Live Online Training

13 Hours

Self-Paced Training

13 Hours

Course Outline Expand All

Expand All

Module 1: Equations, Graphs, and Functions

Module 2: Derivatives and Optimization

Module 3: Vectors and Matrices

Module 4: Statistics and Probability

Who is the instructor for this training?

The trainer for this Essential Math for Machine Learning (with R) Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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