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Explore the Mathematics for Machine Learning Course Catalog
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Machine Learning, Python Programming, NumPy, Performance Tuning
University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Text Mining, Machine Learning Algorithms, Big Data, Statistical Inference, Data Cleansing
CertNexus
Skills you'll gain: Jupyter, Unsupervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Regression Analysis, Machine Learning, Supervised Learning, Data Modeling, Machine Learning Algorithms, Feature Engineering, Test Case, Performance Tuning, Statistical Hypothesis Testing, Performance Metric
University of Washington
Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Dimensionality Reduction, Data Cleansing, Applied Machine Learning, Data Access, Regression Analysis, Data Analysis, Machine Learning, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Probability & Statistics, Data Validation, Predictive Modeling
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Dimensionality Reduction, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Data Access, Deep Learning, Data Analysis, Regression Analysis, Machine Learning, Statistical Analysis, Statistical Inference, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)
Johns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Probability & Statistics, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra
Alberta Machine Intelligence Institute
Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, Algorithms
Fractal Analytics
Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Systems Development, Simulations, Solution Architecture, Feature Engineering, Markov Model, Supervised Learning, Artificial Neural Networks, Applied Machine Learning, Performance Testing, Algorithms, Statistical Methods, Pseudocode, Linear Algebra
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Applied Machine Learning, Algorithms
Mathematics For Machine Learning learners also search
In summary, here are 10 of our most popular mathematics for machine learning courses
- Neural Networks and Deep Learning: DeepLearning.AI
- Machine Learning: University of Washington
- Train Machine Learning Models: CertNexus
- Machine Learning Foundations: A Case Study Approach: University of Washington
- IBM Introduction to Machine Learning: IBM
- IBM Machine Learning: IBM
- Foundational Mathematics for AI: Johns Hopkins University
- Data for Machine Learning: Alberta Machine Intelligence Institute
- Foundations of Machine Learning : Fractal Analytics
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
