Last updated 4/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 4.72 GB | Duration: 5h 41m 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