Mathematics For Ai & Ml Developers : The Complete Course

The ultimate program to master fundamentals of mathematics for AI masters

What you'll 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

Requirements

Basic knowledge of mathematics is required to complete this course

Description

Mathematics for AIIf 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 LearnIntroduction to Mathematics for AIProbability theoryIntroduction to Calculus and DerivativesCalculus Continued and IntegralsIntroduction to Linear AlgebraLinear Algebra ContinuedNeural Networks from ScratchThis 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 ContentLearn From Industry ExpertsIncludes The Must-Learn AI Mathematical ConceptsSo why are you waiting? make your move to become an AI specialist now.See You In The Class!

Overview

Section 1: Introduction to Mathematics for AI

Lecture 1 Course Introduction

Section 2: Probability theory

Lecture 2 Section Overview

Lecture 3 Introduction to Probabilty theory

Lecture 4 Combinatorics

Lecture 5 Multiple events

Lecture 6 Section Summary

Section 3: Introduction to Calculus and Derivatives

Lecture 7 Section Overview

Lecture 8 The Essence of Calculus, Integrals and Derivatives

Lecture 9 Limits

Lecture 10 Derivative Formulas and Geometric Intuition

Lecture 11 Derivation Rules: Power Rule, Product Rule and Chain Rule

Lecture 12 Euler's Number and Continuous Growth

Lecture 13 Implicit differentiation

Lecture 14 Section Summary

Section 4: Calculus Continued and Integrals

Lecture 15 Section Overview

Lecture 16 Integral Intuition

Lecture 17 Integral Intuition Continued

Lecture 18 Indefinite Integrals

Lecture 19 Definite Integrals

Lecture 20 Integration in Python

Lecture 21 Calculus in Machine Learning

Lecture 22 Section Summary

Section 5: Introduction to Linear Algebra

Lecture 23 Section Overview

Lecture 0 Linear Algebra Intuition

Lecture 0 Linear Transformations

Lecture 0 Introduction to Matrices

Lecture 0 Matrices Continued

Lecture 0 Dot Product

Lecture 0 Matrix Patterns

Lecture 24 Section Summary

Section 6: Linear Algebra Continued

Lecture 25 Section Overview

Lecture 0 Determinant

Lecture 0 Cross Products

Lecture 0 Vector Calculus

Lecture 0 Change of Basis

Lecture 0 EigenVectors and EigenValues

Lecture 0 EigenVectors and EigenValues continued

Lecture 26 Section Summary

Section 7: Neural Networks from Scratch

Lecture 0 Section Overview

Lecture 0 Neural Networks

Lecture 0 Creating Model Classes

Lecture 0 Model Training

Lecture 0 Summary

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