Courses in Math for Machine Learning often teach linear algebra, calculus, probability, and statistics, providing a solid foundation for understanding algorithms. You can build skills in optimization techniques, data analysis, and model evaluation, which are crucial for effective machine learning applications. Many courses introduce tools like Python libraries such as NumPy and TensorFlow, which help you implement mathematical concepts in AI projects and enhance your ability to work with data-driven models.

DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, Machine Learning, Python Programming, Artificial Neural Networks, Computer Programming, Derivatives
★ 4.8 (974) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Model Optimization, Pandas (Python Package), Model Evaluation, NumPy, Machine Learning Algorithms, Machine Learning, Data Science, Dimensionality Reduction, Classification Algorithms
★ 4.8 (12) · Mixed · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Machine Learning Methods, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm
★ 4.9 (39K) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization
★ 4.7 (19K) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Feature Engineering, Data Preprocessing, Seaborn, Plot (Graphics), Pandas (Python Package), Data Visualization, Statistical Visualization, Data Wrangling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Data Analysis, Statistical Analysis, Statistical Machine Learning, Data Modeling, Data Engineering, Machine Learning, Statistical Modeling, Analysis, Regression Analysis
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
★ 4.5 (318) · Beginner · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, AI literacy, Machine Learning
★ 4.6 (4.1K) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Model Training, Machine Learning, Model Evaluation
★ 4.7 (853) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.8 (51) · Beginner · Specialization · 3 - 6 Months

Fractal Analytics
Skills you'll gain: Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning, Machine Learning Methods, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Model Optimization, Logistic Regression, Anomaly Detection, Classification Algorithms
★ 4.5 (14) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Model Training, Extract, Transform, Load, Predictive Modeling, Model Deployment, Classification Algorithms, Regression Analysis
★ 4.5 (117) · Intermediate · Course · 1 - 4 Weeks