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Learning AI
Machine Learning cơ bản
en
English
Statistics and Math
Mathematics-Basics to Advanced for Data Science And GenAI
0 students
Last updated
Dec 2024
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Overview
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Course content
Sections:
1
•
Activities:
1
•
Resources:
75
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Section 1
General
Announcements
001 What We are Going To Learn oOs4 gitir
002 Introduction MHw7 gitir
003 Scalars And Vectors VrbN gitir
004 Addition Of Vectors gU6S gitir
005 Multiplication Of Vectors OFhL gitir
006 Vector Databases Examples Of Cosines similarity 5c1Y gitir
007 Vectors Multiplication Element Wise Multiplication EUdI gitir
008 Vectors Multiplication Scaler Multiplication 0AQE gitir
009 Introduction To Matrices And Application CYGm gitir
010 Matrices Operation JBRT gitir
011 Introduction To Function And Linear Transformation Bor8 gitir
012 Vector Transformations Lq0Y gitir
013 Linear Transformation kCkb gitir
014 Why Linear Transformation yj91 gitir
015 Linear Transformation Visualization NXhy gitir
016 Vector Length And Vector Unit R7em gitir
017 Introduction To Projection 0F6a gitir
018 Inversion Functions 3mKZ gitir
019 Applications of Function And Inverse Function 2IGI gitir
020 How to find Inverse Of A Matrix 9d5r gitir
021 All You need to know about Eigen Values And Eigen Vectors NPHB gitir
022 Equation OF a Line Plane And Hyperplane dkVj gitir
042 Binomial Distribution 1UQ8 gitir
043 Poisson Distribution Up5c gitir
044 Normal Gaussian Distribution XKwA gitir
045 Standard Normal Distribution and Z score bRYK gitir
046 Uniform Distribution CzeC gitir
047 Log Normal Distribution eP7W gitir
048 Power Law Distribution uDMY gitir
049 Pareto Distribution 3XPm gitir
050 Central Limit Theorem VlPl gitir
051 Estimates PB58 gitir
052 Hypothesis Testing And Its Mechanism lr3x gitir
053 P value and Hypothesis Testing Vgdl gitir
054 Z test And Hypothesis Testing TSnr gitir
055 Student T Distribution jxf8 gitir
056 T stats With t Test Hypothesis Testing Yl7G gitir
057 Z test vs T test vYl5 gitir
058 Type 1 and Type 2 Error huQR gitir
059 Baye s Theorem uVi3 gitir
060 Confidence Interval And Margin OF Error dq1h gitir
061 What is Chi Square Test KAAJ gitir
062 Chi Square Goodness OF Fit 75dV gitir
063 What is Annova 0ZfQ gitir
064 Assumptions Of Annova Aqst gitir
065 Types OF Annova yyBJ gitir
066 Partioning OF Variance In Anova KoMZ gitir
067 What are Slopes and How To Calculate yMF6 gitir
068 Introduction To Derivatives 9BVn gitir
069 Mathematical Notation Of Derivatives With Limits 7M65 gitir
070 Finding a Derivative At a Point with Examples XflG gitir
071 Power Rules In Derivative usMJ gitir
072 Derivative Rules Constant Sum Difference And Scaler Multiplication 0Yec gitir
073 Equation Of Tangent Of Polynomials 3OxH gitir
074 Derivatives Of Trignometric Logarithmic and Exponential Functions y8nI gitir
075 Product Rules In Derivative with Exmaples Xj8d gitir
076 Chain Rule Of Derivatives Z8EH gitir
077 Composition Of 3 or many functions NyEf gitir
078 Application Of Chain Rule Of Derivative kFGR gitir
079 Main Aim Of This Section Fyvp gitir
080 Learning First ML Algorithm Simple Linear Regression 4JEV gitir
081 Understanding Linear Regression Equations kYff gitir
082 Cost Functions In Regression Frlb gitir
083 Convergence Algorithm k2DY gitir
084 Multiple Linear Regression Br6n gitir
085 Performance Metrics 78bO gitir
086 Overfitiing and Underfitting itRD gitir
087 Curse Of Dimensionality DcDN gitir
088 Feature Selection And Feature Extraction AGRA gitir
090 PCA Maths Indepth Intuition XoVV gitir
092 What is Perceptron And It s Working Tt4v gitir
093 Advantages and Disadvantages Of Perceptron xnLk gitir
094 Artificial Neural Network And Its Working 40Qy gitir
095 Back Propogation Weight Updation Using Derivatives FUAS gitir
096 Chain Rule Of Derivatives During Back Propogation NEZw gitir
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Mathematics-Basics to Advanced for Data Science And GenAI
Course modified date:
30 Dec 2024
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