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Explore the Mathematics for Machine Learning Course Catalog
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Simplilearn
Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Applied Machine Learning, Analytics, Data Science
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Sungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability
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DeepLearning.AI
Skills you'll gain: Classification And Regression Tree (CART), Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning
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Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Linear Algebra, Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning, Mathematical Modeling
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Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scripting Languages, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Data Visualization, Descriptive Statistics, Mathematical Software, Numerical Analysis, Software Installation, Mathematical Modeling, Predictive Modeling, Programming Principles, Python Programming, Data Analysis
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Skills you'll gain: Data Processing
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Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy
- Status: Free TrialStatus: AI skills
University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
- Status: NewStatus: Free Trial
Skills you'll gain: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Manipulation, Data Processing, Data Structures, Linear Algebra, Numerical Analysis, Software Installation
- Status: Preview
Skills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric
- Status: NewStatus: Preview
Skills you'll gain: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
- Status: Free Trial
New York University
Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling
Mathematics For Machine Learning learners also search
In summary, here are 10 of our most popular mathematics for machine learning courses
- Linear Algebra for ML and Analytics Training: Simplilearn
- Machine Learning Basics: Sungkyunkwan University
- Advanced Learning Algorithms: DeepLearning.AI
- Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
- Octave for Machine Learning: Data Analysis Mastery: EDUCBA
- Advanced Machine Learning Techniques: Coursera
- Foundations of Data Science and Machine Learning with Python: Packt
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- Octave for Machine Learning: Analyze & Visualize: EDUCBA
- Machine Learning Introduction for Everyone: IBM