Foundations

Mathematical Foundations

Linear algebra, calculus, probability, statistics and optimisation — the maths behind ML

2,097
lessons
Skills in this topic
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Maths for ML
beginner
Multiply matrices and compute dot products
Probability & Statistics
beginner
Calculate conditional probability and Bayes' theorem
Optimisation
intermediate
Implement gradient descent from scratch
Information Theory
intermediate
Calculate Shannon entropy and cross-entropy loss
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The power tower puzzle | Ep. 8 Lockdown live math
Mathematical Foundations
The power tower puzzle | Ep. 8 Lockdown live math
3Blue1Brown Beginner 6y ago
Intro: A New Way to Start Linear Algebra
Mathematical Foundations
Intro: A New Way to Start Linear Algebra
MIT OpenCourseWare Beginner 6y ago
Part 1: The Column Space of a Matrix
Mathematical Foundations
Part 1: The Column Space of a Matrix
MIT OpenCourseWare Beginner 6y ago
Live 2020-05-04!!! Conditional Probability
Mathematical Foundations
Live 2020-05-04!!! Conditional Probability
StatQuest with Josh Starmer Beginner 6y ago
Statistical Power, Clearly Explained!!!
Mathematical Foundations ⚡ AI Lesson
Statistical Power, Clearly Explained!!!
StatQuest with Josh Starmer Beginner 6y ago
Spreadsheets Tutorial: How far from average?
Mathematical Foundations ⚡ AI Lesson
Spreadsheets Tutorial: How far from average?
DataCamp Beginner 6y ago
Spreadsheets Tutorial: Standardizing data
Mathematical Foundations ⚡ AI Lesson
Spreadsheets Tutorial: Standardizing data
DataCamp Beginner 6y ago
Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning
Mathematical Foundations
Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning
Krish Naik Beginner 6y ago
Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning
Mathematical Foundations
Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning
Krish Naik Beginner 6y ago
Pen Tool Explained - Affinity Photo Tutorial
Mathematical Foundations
Pen Tool Explained - Affinity Photo Tutorial
Olivio Sarikas Beginner 6y ago
Look Mom, No Indices! Vector Calculus with the Fréchet Derivative by Charles Frye
Mathematical Foundations ⚡ AI Lesson
Look Mom, No Indices! Vector Calculus with the Fréchet Derivative by Charles Frye
Weights & Biases Beginner 6y ago
Extracting coherence information from random circuits (QuantumCasts)
Mathematical Foundations ⚡ AI Lesson
Extracting coherence information from random circuits (QuantumCasts)
TensorFlow Beginner 6y ago
Why “probability of 0” does not mean “impossible” | Probabilities of probabilities, part 2
Mathematical Foundations
Why “probability of 0” does not mean “impossible” | Probabilities of probabilities, part 2
3Blue1Brown Beginner 6y ago
Part 5: Singular Values and Singular Vectors
Mathematical Foundations
Part 5: Singular Values and Singular Vectors
MIT OpenCourseWare Beginner 6y ago
Python Tutorial : Quantifying Linear Relationships
Mathematical Foundations
Python Tutorial : Quantifying Linear Relationships
DataCamp Beginner 6y ago
R Tutorial : Poisson regression
Mathematical Foundations
R Tutorial : Poisson regression
DataCamp Beginner 6y ago
Python Tutorial : How to build a GLM?
Mathematical Foundations
Python Tutorial : How to build a GLM?
DataCamp Beginner 6y ago
R Tutorial: Gaussian mixture models (GMM)
Mathematical Foundations ⚡ AI Lesson
R Tutorial: Gaussian mixture models (GMM)
DataCamp Beginner 6y ago
R Tutorial: Gaussian distribution
Mathematical Foundations
R Tutorial: Gaussian distribution
DataCamp Beginner 6y ago
R Tutorial: Writing Efficient R Code | Intro
Mathematical Foundations ⚡ AI Lesson
R Tutorial: Writing Efficient R Code | Intro
DataCamp Beginner 6y ago
R Tutorial: Wrapping up the zombie analysis
Mathematical Foundations
R Tutorial: Wrapping up the zombie analysis
DataCamp Beginner 6y ago
R Tutorial: Fundamentals of Bayesian Data Analysis in R | Samples and posterior summaries
Mathematical Foundations ⚡ AI Lesson
R Tutorial: Fundamentals of Bayesian Data Analysis in R | Samples and posterior summaries
DataCamp Beginner 6y ago
R Tutorial: A first taste of Bayes
Mathematical Foundations ⚡ AI Lesson
R Tutorial: A first taste of Bayes
DataCamp Beginner 6y ago
R Tutorial: Let's try some Bayesian data analysis
Mathematical Foundations
R Tutorial: Let's try some Bayesian data analysis
DataCamp Beginner 6y ago
Python Tutorial: Descriptive Statistics
Mathematical Foundations
Python Tutorial: Descriptive Statistics
DataCamp Beginner 6y ago
Python Tutorial : Basic operations
Mathematical Foundations
Python Tutorial : Basic operations
DataCamp Beginner 6y ago
R Tutorial: Filtering and plotting the data
Mathematical Foundations ⚡ AI Lesson
R Tutorial: Filtering and plotting the data
DataCamp Beginner 6y ago
Python Tutorial: Measuring risk of a portfolio
Mathematical Foundations ⚡ AI Lesson
Python Tutorial: Measuring risk of a portfolio
DataCamp Beginner 6y ago
Python Tutorial : Hypothesis tests
Mathematical Foundations
Python Tutorial : Hypothesis tests
DataCamp Beginner 6y ago
Python Tutorial : Bootstrap confidence intervals
Mathematical Foundations
Python Tutorial : Bootstrap confidence intervals
DataCamp Beginner 6y ago
Python Tutorial: Testing proportion and correlation
Mathematical Foundations
Python Tutorial: Testing proportion and correlation
DataCamp Beginner 6y ago
Python Tutorial: Student's t-test
Mathematical Foundations
Python Tutorial: Student's t-test
DataCamp Beginner 6y ago
R Tutorial: Evaluating classification model performance
Mathematical Foundations
R Tutorial: Evaluating classification model performance
DataCamp Beginner 6y ago
R Tutorial: Flipping coins in R
Mathematical Foundations
R Tutorial: Flipping coins in R
DataCamp Beginner 6y ago
R Tutorial: Density and cumulative density
Mathematical Foundations
R Tutorial: Density and cumulative density
DataCamp Beginner 6y ago
R Tutorial: Expected value and variance
Mathematical Foundations
R Tutorial: Expected value and variance
DataCamp Beginner 6y ago
R Tutorial : Inference for Linear Regression in R
Mathematical Foundations
R Tutorial : Inference for Linear Regression in R
DataCamp Beginner 6y ago
Python Tutorial: Onward toward the whole story!
Mathematical Foundations
Python Tutorial: Onward toward the whole story!
DataCamp Beginner 6y ago
R Tutorial: Comparing frequentist and Bayesian methods
Mathematical Foundations
R Tutorial: Comparing frequentist and Bayesian methods
DataCamp Beginner 6y ago
R Tutorial: Bayesian Linear Regression
Mathematical Foundations
R Tutorial: Bayesian Linear Regression
DataCamp Beginner 6y ago
R Tutorial: Sentiment Analysis | Let's talk about our feelings
Mathematical Foundations
R Tutorial: Sentiment Analysis | Let's talk about our feelings
DataCamp Beginner 6y ago
R Tutorial : Stats outside geoms
Mathematical Foundations
R Tutorial : Stats outside geoms
DataCamp Beginner 6y ago
PyTorch Tutorial : Backpropagation by auto-differentiation
Mathematical Foundations
PyTorch Tutorial : Backpropagation by auto-differentiation
DataCamp Beginner 6y ago
R Tutorial : Challenges of portfolio optimization
Mathematical Foundations
R Tutorial : Challenges of portfolio optimization
DataCamp Beginner 6y ago
R Tutorial : Why learn topic modeling
Mathematical Foundations
R Tutorial : Why learn topic modeling
DataCamp Beginner 6y ago
Python Tutorial : Optimal parameters
Mathematical Foundations ⚡ AI Lesson
Python Tutorial : Optimal parameters
DataCamp Beginner 6y ago
Python Tutorial : The important of EDA: Anscombe's quartet
Mathematical Foundations ⚡ AI Lesson
Python Tutorial : The important of EDA: Anscombe's quartet
DataCamp Beginner 6y ago
R Tutorial: Characterizing bivariate relationships
Mathematical Foundations
R Tutorial: Characterizing bivariate relationships
DataCamp Beginner 6y ago
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Statistical Thinking for Industrial Problem Solving, presented by JMP
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Statistical Thinking for Industrial Problem Solving, presented by JMP
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Probability, Statistical Inference and Regression Analysis
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Random Models, Nested and Split-plot Designs
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Random Models, Nested and Split-plot Designs
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Hedge Fund Risk Analysis and Stress Testing
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Hedge Fund Risk Analysis and Stress Testing
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Analyze and Apply Statistical Methods Using Minitab
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Analyze and Apply Statistical Methods Using Minitab
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Practical Marketing Research Techniques
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Practical Marketing Research Techniques
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