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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R Tutorial: Visualizing bivariate relationships
Mathematical Foundations
R Tutorial: Visualizing bivariate relationships
DataCamp Beginner 6y ago
Uncertainty - Lecture 2 - CS50's Introduction to Artificial Intelligence with Python 2020
Mathematical Foundations
Uncertainty - Lecture 2 - CS50's Introduction to Artificial Intelligence with Python 2020
CS50 Beginner 6y ago
Language - Lecture 6 - CS50's Introduction to Artificial Intelligence with Python 2020
Mathematical Foundations
Language - Lecture 6 - CS50's Introduction to Artificial Intelligence with Python 2020
CS50 Beginner 6y ago
Feature Engineering-How to Transform Data to Better Fit The Gaussian Distribution-Data Science
Mathematical Foundations
Feature Engineering-How to Transform Data to Better Fit The Gaussian Distribution-Data Science
Krish Naik Beginner 6y ago
R Tutorial: Describing survey results
Mathematical Foundations
R Tutorial: Describing survey results
DataCamp Beginner 6y ago
Intro to Deep Learning -- L11 Common Optimization Algorithms [Stat453, SS20]
Mathematical Foundations
Intro to Deep Learning -- L11 Common Optimization Algorithms [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
Interview Questions On Statistics - Data Science Interviews
Mathematical Foundations
Interview Questions On Statistics - Data Science Interviews
Krish Naik Beginner 6y ago
p-values: What they are and how to interpret them
Mathematical Foundations
p-values: What they are and how to interpret them
StatQuest with Josh Starmer Beginner 6y ago
Ewan McIntyre on Cost Optimization
Mathematical Foundations
Ewan McIntyre on Cost Optimization
Gartner for Marketing Beginner 6y ago
Differentiable convex optimization layers (TF Dev Summit '20)
Mathematical Foundations ⚡ AI Lesson
Differentiable convex optimization layers (TF Dev Summit '20)
TensorFlow 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
Python Tutorial: Machine learning basics
Mathematical Foundations
Python Tutorial: Machine learning basics
DataCamp Beginner 6y ago
R Tutorial : Features of your measure: Correlations and reliability
Mathematical Foundations
R Tutorial : Features of your measure: Correlations and reliability
DataCamp Beginner 6y ago
R Tutorial : Introduction to EFA
Mathematical Foundations
R Tutorial : Introduction to EFA
DataCamp Beginner 6y ago
R Tutorial : ARIMA Models in R
Mathematical Foundations
R Tutorial : ARIMA Models in R
DataCamp Beginner 6y ago
Python Tutorial : Skewness and Kurtosis
Mathematical Foundations ⚡ AI Lesson
Python Tutorial : Skewness and Kurtosis
DataCamp Beginner 6y ago
Python Tutorial : Mean, Variance, and Normal Distributions
Mathematical Foundations ⚡ AI Lesson
Python Tutorial : Mean, Variance, and Normal Distributions
DataCamp Beginner 6y ago
Python Tutorial : Financial Returns
Mathematical Foundations
Python Tutorial : Financial Returns
DataCamp Beginner 6y ago
R Tutorial: Data Synthesis
Mathematical Foundations
R Tutorial: Data Synthesis
DataCamp Beginner 6y ago
R Tutorial : The approximation shortcut
Mathematical Foundations
R Tutorial : The approximation shortcut
DataCamp Beginner 6y ago
R Tutorial : The General Social Survey
Mathematical Foundations ⚡ AI Lesson
R Tutorial : The General Social Survey
DataCamp Beginner 6y ago
R Tutorial: Putting strings together
Mathematical Foundations ⚡ AI Lesson
R Tutorial: Putting strings together
DataCamp Beginner 6y ago
R Tutorial: Load, create, and access single-cell datasets in R
Mathematical Foundations
R Tutorial: Load, create, and access single-cell datasets in R
DataCamp Beginner 6y ago
R Tutorial: Using the randomization distribution
Mathematical Foundations
R Tutorial: Using the randomization distribution
DataCamp Beginner 6y ago
R Tutorial: Foundations of Inference in R | Study conclusions
Mathematical Foundations ⚡ AI Lesson
R Tutorial: Foundations of Inference in R | Study conclusions
DataCamp Beginner 6y ago
Python Tutorial: Feature selection vs feature extraction
Mathematical Foundations
Python Tutorial: Feature selection vs feature extraction
DataCamp Beginner 6y ago
Python Tutorial: Encoder decoder architecture
Mathematical Foundations ⚡ AI Lesson
Python Tutorial: Encoder decoder architecture
DataCamp Beginner 6y ago
R Tutorial : Hypothesis Testing
Mathematical Foundations
R Tutorial : Hypothesis Testing
DataCamp Beginner 6y ago
R Tutorial : The survival function
Mathematical Foundations ⚡ AI Lesson
R Tutorial : The survival function
DataCamp Beginner 6y ago
R Tutorial: Mean vector and variance-covariance matrix
Mathematical Foundations
R Tutorial: Mean vector and variance-covariance matrix
DataCamp Beginner 6y ago
R Tutorial: Plotting multivariate data
Mathematical Foundations
R Tutorial: Plotting multivariate data
DataCamp Beginner 6y ago
R Tutorial: Reading multivariate data
Mathematical Foundations ⚡ AI Lesson
R Tutorial: Reading multivariate data
DataCamp Beginner 6y ago
R Tutorial: The rugarch package
Mathematical Foundations
R Tutorial: The rugarch package
DataCamp Beginner 6y ago
R Tutorial: Background on modeling for explanation
Mathematical Foundations ⚡ AI Lesson
R Tutorial: Background on modeling for explanation
DataCamp Beginner 6y ago
R Tutorial : Matrix-Vector Operations
Mathematical Foundations
R Tutorial : Matrix-Vector Operations
DataCamp Beginner 6y ago
R Tutorial : Linear Algebra for Data Science in R
Mathematical Foundations
R Tutorial : Linear Algebra for Data Science in R
DataCamp Beginner 6y ago
R Tutorial : White noise
Mathematical Foundations
R Tutorial : White noise
DataCamp Beginner 6y ago
R Tutorial : Further testing (Spatial Statistics in R)
Mathematical Foundations ⚡ AI Lesson
R Tutorial : Further testing (Spatial Statistics in R)
DataCamp Beginner 6y ago
R Tutorial : Simulation and testing with spatstat
Mathematical Foundations
R Tutorial : Simulation and testing with spatstat
DataCamp Beginner 6y ago
R Tutorial: Assigning Classes
Mathematical Foundations
R Tutorial: Assigning Classes
DataCamp Beginner 6y ago
Python Tutorial : Applying logistic regression and SVM
Mathematical Foundations
Python Tutorial : Applying logistic regression and SVM
DataCamp Beginner 6y ago
R Tutorial : Basic statistical analysis
Mathematical Foundations
R Tutorial : Basic statistical analysis
DataCamp Beginner 6y ago
R Tutorial : Types of data and endpoints
Mathematical Foundations
R Tutorial : Types of data and endpoints
DataCamp Beginner 6y ago
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