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Mathematics For Machine Learning

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233 results for "mathematics for machine learning"

Imperial College London
Mathematics for Machine Learning
Skills you'll gain: Mathematics, Algebra, Linear Algebra, Machine Learning, Python Programming, Probability & Statistics, General Statistics, Calculus, Applied Mathematics, Mathematical Theory & Analysis, Computer Programming, Statistical Programming, Algorithms, Dimensionality Reduction, Regression, Theoretical Computer Science, Basic Descriptive Statistics, Data Analysis, Probability Distribution, Artificial Neural Networks, Computer Graphic Techniques, Computer Graphics, Computer Networking, Deep Learning, Differential Equations, Experiment, Machine Learning Algorithms, Network Model
4.6
(13.2k reviews)
Beginner · Specialization · 3-6 Months
Free
Stanford University
Introduction to Statistics
Skills you'll gain: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis
4.6
(1.8k reviews)
Beginner · Course · 1-3 Months
Imperial College London
Mathematics for Machine Learning: Multivariate Calculus
Skills you'll gain: Mathematics, Calculus, Mathematical Theory & Analysis, Probability & Statistics, Algorithms, Theoretical Computer Science, Algebra, Machine Learning, Artificial Neural Networks, Computer Networking, Computer Programming, Deep Learning, Differential Equations, Linear Algebra, Machine Learning Algorithms, Network Model, Regression
4.7
(5.3k reviews)
Beginner · Course · 1-3 Months
Imperial College London
Mathematics for Machine Learning: PCA
Skills you'll gain: Mathematics, Algebra, Linear Algebra, Computer Programming, General Statistics, Machine Learning, Probability & Statistics, Python Programming, Statistical Programming, Dimensionality Reduction, Basic Descriptive Statistics, Data Analysis, Probability Distribution, Regression, Computer Graphic Techniques, Computer Graphics, Experiment
4.0
(2.9k reviews)
Intermediate · Course · 1-4 Weeks
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Probability & Statistics, General Statistics, Mathematics, Probability Distribution, Regression, Bayesian Statistics, Experiment, Linear Algebra, Econometrics, Machine Learning, Basic Descriptive Statistics, Biostatistics, Calculus, Statistical Tests, Algebra, Artificial Neural Networks, Dimensionality Reduction, Machine Learning Algorithms, Statistical Machine Learning, Communication, Correlation And Dependence, Data Analysis, Estimation, Exploratory Data Analysis, Statistical Analysis
4.4
(681 reviews)
Advanced · Specialization · 3-6 Months
DeepLearning.AI, Stanford University
Machine Learning
Skills you'll gain: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Algorithms, Applied Machine Learning, Artificial Neural Networks, Econometrics, Deep Learning, Regression, Mathematics, Computer Programming, Python Programming, Statistical Programming, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Data Analysis, Data Mining, Mathematical Theory & Analysis, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Accounting, Communication
4.9
(6.3k reviews)
Beginner · Specialization · 1-3 Months
University of California San Diego
Introduction to Discrete Mathematics for Computer Science
Skills you'll gain: Mathematics, Graph Theory, Computer Science, Computer Programming, Python Programming, Statistical Programming, Data Science, Algebra, Theoretical Computer Science, Probability & Statistics, Algorithms, Calculus, Combinatorics, Data Analysis, Statistical Analysis, General Statistics, Mathematical Theory & Analysis, Programming Principles, Bayesian Statistics, Computational Thinking, Geometry, Applied Mathematics, Correlation And Dependence, Estimation, Probability Distribution, Computational Logic, Business Analysis, Communication, Computer Architecture, Critical Thinking, Cryptography, Data Visualization, Entrepreneurship, Leadership and Management, Machine Learning, Markov Model, Microarchitecture, Problem Solving, Research and Design, Scientific Visualization, Security Engineering, Statistical Visualization, Strategy and Operations
4.5
(3.3k reviews)
Beginner · Specialization · 3-6 Months
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Skills you'll gain: Machine Learning, Probability & Statistics, Regression, General Statistics, Machine Learning Algorithms, Algorithms, Theoretical Computer Science, Econometrics, Computer Programming, Mathematics, Python Programming, Statistical Machine Learning, Statistical Programming, Applied Machine Learning, Artificial Neural Networks, Calculus, Feature Engineering, Linear Algebra, Probability Distribution, Accounting
4.9
(5.5k reviews)
Beginner · Course · 1-4 Weeks
New York Institute of Finance
Reinforcement Learning for Trading Strategies
Skills you'll gain: Machine Learning, Artificial Neural Networks, Business Psychology, Cloud Computing, Computer Programming, Entrepreneurship, Finance, General Statistics, Investment Management, Leadership and Management, Marketing, Mathematics, Probability & Statistics, Python Programming, Reinforcement Learning, Sales, Statistical Programming, Strategy, Strategy and Operations
3.6
(203 reviews)
Intermediate · Course · 1-4 Weeks

Searches related to mathematics for machine learning

mathematics for machine learning: linear algebra

mathematics for machine learning: multivariate calculus

mathematics for machine learning: pca

In summary, here are 10 of our most popular mathematics for machine learning courses

Mathematics for Machine Learning: Imperial College London
Mathematics for Machine Learning: Linear Algebra: Imperial College London
Introduction to Statistics: Stanford University
Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
Mathematics for Machine Learning: PCA: Imperial College London
Advanced Statistics for Data Science: Johns Hopkins University
Machine Learning: DeepLearning.AI
Introduction to Discrete Mathematics for Computer Science: University of California San Diego
Getting Started with Kaggle: Coursera Project Network
Supervised Machine Learning: Regression and Classification: DeepLearning.AI

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