✕ Clear filters
97 lessons

🔢 Mathematical Foundations

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

All ▶ YouTube 278,925📚 External: Coursera 18,610🏛 Archive.org 625 | 📰 Articles →

Looking for written articles and micro-lessons? Switch to Reads.

Comprehensive Logistic Regression Tutorial: From BASICS to ADVANCED
Mathematical Foundations ⚡ AI Lesson
Comprehensive Logistic Regression Tutorial: From BASICS to ADVANCED
DataCamp Beginner 10mo ago
Create and Name Matrices | Simple R Programming Tutorial
Mathematical Foundations ⚡ AI Lesson
Create and Name Matrices | Simple R Programming Tutorial
DataCamp Beginner 2y ago
How to Subset Matrices | Step by Step R Programming Tutorial
Mathematical Foundations ⚡ AI Lesson
How to Subset Matrices | Step by Step R Programming Tutorial
DataCamp Beginner 2y ago
Statistical Thinking in Python (Part 1): Random number generators and hacker statistics
Mathematical Foundations
Statistical Thinking in Python (Part 1): Random number generators and hacker statistics
DataCamp Intermediate 5y 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
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
R Tutorial: Visualizing bivariate relationships
Mathematical Foundations
R Tutorial: Visualizing bivariate relationships
DataCamp Beginner 6y ago
R Tutorial: Describing survey results
Mathematical Foundations
R Tutorial: Describing survey results
DataCamp Beginner 6y ago
Python Tutorial: Data distributions and transformations
Mathematical Foundations ⚡ AI Lesson
Python Tutorial: Data distributions and transformations
DataCamp Beginner 6y ago
R Tutorial: Introducing xts and zoo objects
Mathematical Foundations ⚡ AI Lesson
R Tutorial: Introducing xts and zoo objects
DataCamp Beginner 6y ago
R Tutorial: Distance metrics
Mathematical Foundations ⚡ AI Lesson
R Tutorial: Distance metrics
DataCamp Beginner 6y ago
R Tutorial: Introduction to k-means clustering
Mathematical Foundations
R Tutorial: Introduction to k-means clustering
DataCamp Beginner 6y ago
R Tutorial: Visualizing summaries
Mathematical Foundations ⚡ AI Lesson
R Tutorial: Visualizing summaries
DataCamp Beginner 6y ago
R Tutorial: Model Specification
Mathematical Foundations
R Tutorial: Model Specification
DataCamp Beginner 6y ago
📚 Continue on Coursera External links · Free to audit
1 / 3 View all →
Mathematics for Machine Learning: Linear Algebra
📚 External: Coursera ↗
Self-paced
Mathematics for Machine Learning: Linear Algebra
Opens on Coursera ↗
Linux Fundamentals
📚 External: Coursera ↗
Self-paced
Linux Fundamentals
Opens on Coursera ↗
Statistics for Data Science Essentials
📚 External: Coursera ↗
Self-paced
Statistics for Data Science Essentials
Opens on Coursera ↗
Building, Optimizing, and Validating Machine Learning Models
📚 External: Coursera ↗
Self-paced
Building, Optimizing, and Validating Machine Learning Models
Opens on Coursera ↗
Nonlinear Kalman Filters (and Parameter Estimation)
📚 External: Coursera ↗
Self-paced
Nonlinear Kalman Filters (and Parameter Estimation)
Opens on Coursera ↗
Data Science with Python: Analyze & Visualize
📚 External: Coursera ↗
Self-paced
Data Science with Python: Analyze & Visualize
Opens on Coursera ↗