Understanding the Math Behind AI

Understanding the Math Behind AI, available at $19.99, with 8 lectures, and has 10 subscribers.

You will learn about Understand the basic and advanced topics of calculus and how to use them in AI, such as derivatives, integrals, optimization, and multivariate calculus. Understand the basic and advanced topics of probability and statistics and how to use them in AI, such as probability rules, random variables, etc. Linear regression and logistic regression and how to use them in AI, such as fitting, evaluating, and optimizing regression models for numerical or categorical Neural networks and deep learning and how to use them in AI, such as constructing, training, and optimizing neural networks This course is ideal for individuals who are This course is designed for anyone who would like to intricately understand the mathematics behind AI models. It is particularly useful for This course is designed for anyone who would like to intricately understand the mathematics behind AI models.

Enroll now: Understanding the Math Behind AI

Summary

Title: Understanding the Math Behind AI

Price: $19.99

Number of Lectures: 8

Number of Published Lectures: 8

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the basic and advanced topics of calculus and how to use them in AI, such as derivatives, integrals, optimization, and multivariate calculus.
Understand the basic and advanced topics of probability and statistics and how to use them in AI, such as probability rules, random variables, etc.
Linear regression and logistic regression and how to use them in AI, such as fitting, evaluating, and optimizing regression models for numerical or categorical
Neural networks and deep learning and how to use them in AI, such as constructing, training, and optimizing neural networks

Who Should Attend

This course is designed for anyone who would like to intricately understand the mathematics behind AI models.

Target Audiences

This course is designed for anyone who would like to intricately understand the mathematics behind AI models.

Do you want to learn the math behind artificial intelligence (AI) and how to apply it to real-world problems and applications? Do you want to master the concepts, the formulas, the methods, and the examples of the math behind AI in a clear and simple way? Do you want to have access to a powerful and friendly tool that can help you with anything related to the math behind AI? If you answered yes to any of these questions, then this course is for you!

Welcome to the course ‘Understanding the Math Behind AI’. This course is designed to teach you the essential math concepts that are used in AI, such as calculus, probability, statistics, linear regression, logistic regression, neural networks, and deep learning. This course is suitable for anyone who wants to learn the math behind AI, whether you are a beginner, an intermediate, or an advanced learner. This course is also ideal for anyone who wants to pursue a career or a hobby in AI, such as data scientists, machine learning engineers, AI researchers, or AI enthusiasts. In this course, you will learn:

What is AI and why is math important for AI?
What are the basic and advanced topics of calculus and how to use them in AI?
What are the basic and advanced topics of probability and statistics and how to use them in AI?
What are linear regression and logistic regression and how to use them in AI?
What are neural networks and deep learning and how to use them in AI?
What are the challenges and the solutions of optimizing a neural network and how to apply them in AI?
What are the applications and the examples of neural networks and deep learning and how to use them in AI?

So, what are you waiting for? Enroll in this course today and start learning the math behind AI. You will be amazed by what you can learn and do with the math behind AI. See you in the course!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Algebra

Lecture 3: Linear Algebra

Lecture 4: Calculus

Lecture 5: Probability & Statistics

Lecture 6: Linear & Logistic Regression

Lecture 7: Lecture 7

Lecture 8: Probability Sampling Simplistically Explained

Instructors

Richard Aragon
I am still under development

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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!

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