Courses in Math for Machine Learning can help you learn linear algebra, calculus, probability, and statistics. You can build skills in data analysis, model evaluation, and algorithm optimization. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI and artificial intelligence projects. You'll also explore techniques like gradient descent and matrix factorization, which are crucial for developing effective machine learning models.

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Machine Learning Software, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Market Data, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Reinforcement Learning, Model Optimization, Deep Learning, Large Language Modeling, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Transfer Learning, Natural Language Processing, Tensorflow, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Convolutional Neural Networks
Intermediate · Course · 3 - 6 Months

Skills you'll gain: LLM Application, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Fine-tuning, Model Training
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Classification Algorithms, Java Programming, Data Preprocessing, Machine Learning Software, Model Training, Model Deployment, Model Evaluation, Decision Tree Learning, Logistic Regression
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Statistical Machine Learning, Model Training, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Electronic Medical Record System, AI Personalization, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Model Evaluation, Decision Intelligence, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, AI Personalization, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Model Optimization, Data Analysis, Driving engagement, Persona (User Experience)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Model Training, Tensorflow, A/B Testing, Responsible AI, Data Processing, Convolutional Neural Networks, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Model Deployment, Machine Learning, Recurrent Neural Networks (RNNs), Dimensionality Reduction
Advanced · Course · 1 - 3 Months