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 will 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 will 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 and ML will find this course very useful

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SKILLS YOU WILL GAIN
Learn the fundamental Mathematics required for machine learning development
Learn core concepts of probability theory
WHAT YOU WILL LEARN
Learn all about calculus and its application in AIML
Learn lineal algebra and neural networks