Description
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!
Who this course is for:
- Anyone who wants to learn the important mathematical concepts required for AI & ML will find this course very useful
Requirements
- Basic knowledge of mathematics is required to complete this course
Last Updated 4/2022
Download Links
Direct Download
Mathematics for AI & ML Developers : The Complete Course.zip (4.7 GB) | Mirror
