Mathematics for machine learning courses can help you learn linear algebra, calculus, probability, and statistics. You can build skills in optimization techniques, data analysis, and algorithm development. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI applications. You'll also explore key topics like regression analysis, dimensionality reduction, and neural networks, all of which are crucial for developing effective machine learning models.

Dartmouth College
Skills you'll gain: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Network Architecture, Probability Distribution
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub
★ 4.4 (7.2K) · Intermediate · Specialization · 3 - 6 Months

Fundação Instituto de Administração
Skills you'll gain: Data-Driven Marketing, Big Data, Data Mining, Data-Driven Decision-Making, Marketing Automation, Marketing Strategies, Data Strategy, Customer experience strategy (CX), Digital Transformation, Data Engineering, Marketing Analytics, Marketing, MarTech, Analytics, Data Science, Innovation, Digital Brand Strategy, Applied Machine Learning, Data Processing, Marketing Effectiveness
★ 4.3 (62) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Manipulation, Data Wrangling, AI Personalization, Model Evaluation, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Data Cleansing, Statistical Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Training, Taxonomy, Text Mining, Data Analysis, Artificial Intelligence, Deep Learning
Intermediate · Course · 1 - 3 Months

Universidades Anáhuac
Skills you'll gain: Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting, Predictive Analytics, Model Training, Statistical Modeling, Data Modeling, Forecasting, Model Optimization, Supervised Learning, Applied Machine Learning, Regression Analysis, Feature Engineering, Machine Learning Methods, Data Preprocessing, Unsupervised Learning, Machine Learning, Machine Learning Algorithms, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Teaching, Digital pedagogy, Learning Management Systems, Education Software and Technology, Technology Strategies, Planning, digital literacy, Content Management
★ 4.7 (3.2K) · Beginner · Course · 1 - 3 Months

Edge Impulse
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming
★ 4.8 (166) · Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning
★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Dimensionality Reduction, Statistics, Probability & Statistics, Linear Algebra, Statistical Inference, Digital Signal Processing, Biological Engineering, Image Analysis, Experimentation, Biomedical Engineering, Applied Mathematics, Regression Analysis, Feature Engineering, Unsupervised Learning, Data Transformation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Data Wrangling, Model Optimization, Amazon Redshift, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, AWS Kinesis, Data Pipelines, Extract, Transform, Load, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Sage Publications
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Artificial Intelligence, Machine Learning Methods, Machine Learning, Computer Vision, Data Ethics, Automation, AI literacy, Applied Machine Learning, Natural Language Processing, Digital Transformation, Emerging Technologies, AI Integrations, Law, Regulation, and Compliance, Business Transformation
Beginner · Course · 1 - 3 Months