Mathematics for AI ML Developers - The Complete Course

Mathematics for AI & ML Developers : The Complete Course, available at $49.99, has an average rating of 4.45, with 43 lectures, 6 quizzes, based on 16 reviews, and has 321 subscribers.

You will learn about Learn the fundamental Mathematics required for machine learning development Learn core concepts of probability theory Learn all about calculus and its application in AI & ML Learn lineal algebra and neural networks This course is ideal for individuals who are Anyone who wants to learn the important mathematical concepts required for AI & ML will find this course very useful It is particularly useful for Anyone who wants to learn the important mathematical concepts required for AI & ML will find this course very useful.

Enroll now: Mathematics for AI & ML Developers : The Complete Course

Summary

Title: Mathematics for AI & ML Developers : The Complete Course

Price: $49.99

Average Rating: 4.45

Number of Lectures: 43

Number of Quizzes: 6

Number of Published Lectures: 43

Number of Published Quizzes: 6

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 49

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

Learn the fundamental Mathematics required for machine learning development

Learn core concepts of probability theory

Learn all about calculus and its application in AI & ML

Learn lineal algebra and neural networks

Who Should Attend

Anyone who wants to learn the important mathematical concepts required for AI & ML will find this course very useful

Target Audiences

Anyone who wants to learn the important mathematical concepts required for AI & ML will find this course very useful

Mathematics for AI

If you want to develop AI solutions, you need to know the key formulas and computational theories and the mathematical algorithms used to analyze the data and statistics.

So, Want To Know How Maths Plays A Key Role In Developing AI Solutions?

This program is designed for the one who wants to become a complete AI specialist by gaining mastery over mathematical algorithms of AI. This course will help you learn the most important theories of probability, algebra, and calculus for data science and artificial intelligence.

This course will help you learn how probability stimulates probabilistic models using python. You’ll learn about probability mathematical frameworks which allow analyzing the chances of events in a logical manner. Also, this course gives you in-depth knowledge on how to deal with uncertainty in AI. This course provides you with knowledge of calculus that helps you understand the hidden pieces in the AI patterns.

Basically, you are going to get every single knowledge regarding mathematics in AI through this program.

Major Concepts That You’ll Learn

Introduction to Mathematics for AI

Probability theory

Introduction to Calculus and Derivatives

Calculus Continued and Integrals

Introduction to Linear Algebra

Linear Algebra Continued

Neural Networks from Scratch

This course also covers essential topics like linear algebra and neural networks which help you develop reliable AI models.

Perks Of Availing This Program!

Get Well-Structured Content

Learn From Industry Experts

Includes The Must-Learn AI Mathematical Concepts

So why are you waiting? make your move to become an AI specialist now.

See You In The Class!

Course Curriculum

Chapter 1: Introduction to Mathematics for AI

Lecture 1: Course Introduction

Chapter 2: Probability theory

Lecture 1: Section Overview

Lecture 2: Introduction to Probabilty theory

Lecture 3: Combinatorics

Lecture 4: Multiple events

Lecture 5: Section Summary

Chapter 3: Introduction to Calculus and Derivatives

Lecture 1: Section Overview

Lecture 2: The Essence of Calculus, Integrals and Derivatives

Lecture 3: Limits

Lecture 4: Derivative Formulas and Geometric Intuition

Lecture 5: Derivation Rules: Power Rule, Product Rule and Chain Rule

Lecture 6: Eulers Number and Continuous Growth

Lecture 7: Implicit differentiation

Lecture 8: Section Summary

Chapter 4: Calculus Continued and Integrals

Lecture 1: Section Overview

Lecture 2: Integral Intuition

Lecture 3: Integral Intuition Continued

Lecture 4: Indefinite Integrals

Lecture 5: Definite Integrals

Lecture 6: Integration in Python

Lecture 7: Calculus in Machine Learning

Lecture 8: Section Summary

Chapter 5: Introduction to Linear Algebra

Lecture 1: Section Overview

Lecture 2: Linear Algebra Intuition

Lecture 3: Linear Transformations

Lecture 4: Introduction to Matrices

Lecture 5: Matrices Continued

Lecture 6: Dot Product

Lecture 7: Matrix Patterns

Lecture 8: Section Summary

Chapter 6: Linear Algebra Continued

Lecture 1: Section Overview

Lecture 2: Determinant

Lecture 3: Cross Products

Lecture 4: Vector Calculus

Lecture 5: Change of Basis

Lecture 6: EigenVectors and EigenValues

Lecture 7: EigenVectors and EigenValues continued

Lecture 8: Section Summary

Chapter 7: Neural Networks from Scratch

Lecture 1: Section Overview

Lecture 2: Neural Networks

Lecture 3: Creating Model Classes

Lecture 4: Model Training

Lecture 5: Summary

Instructors

Eduonix Learning Solutions
1+ Million Students Worldwide | 200+ Courses

Rating Distribution

1 stars: 2 votes

2 stars: 0 votes

3 stars: 3 votes

4 stars: 5 votes

5 stars: 6 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!