Mathematics for Machine Learning Courses
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.
Popular Mathematics for Machine Learning Courses and Certifications
University of Colorado Boulder
Skills you'll gain: Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Logistic Regression
Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning
Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning Software, Machine Learning, Data Validation, Data Wrangling, Machine Learning Algorithms, Data Integrity, Data Import/Export
University of Michigan
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming
EDHEC Business School
Skills you'll gain: Text Mining, Applied Machine Learning, Network Analysis, Data Visualization Software, Machine Learning Methods, Statistical Machine Learning, Financial Statement Analysis, Financial Data, Market Data, Unstructured Data, Predictive Modeling, Web Scraping, Social Network Analysis, Advanced Analytics, Financial Statements, Financial Market, Financial Analysis, Corporate Finance, Investments, Data Mining
Johns Hopkins University
Skills you'll gain: Mathematics and Mathematical Modeling, Mathematical Modeling, Political Sciences, Combinatorics, Social Sciences, Decision Intelligence, Logical Reasoning, Applied Mathematics, Critical Thinking, General Mathematics, Psychology
Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Plot (Graphics), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Training, Model Evaluation, Model Optimization, Adaptability, Problem Solving
Cleveland Clinic
Skills you'll gain: Machine Learning Methods, Machine Learning, Model Optimization, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Model Training, Health Care, Supervised Learning, Clinical Experience, Health Technology, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Model Training, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Data Presentation, Dashboard Creation, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Health Equity, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Predictive Modeling, AI Workflows, Model Evaluation
University of Maryland, College Park
Skills you'll gain: Model Evaluation, Apache Hadoop, Machine Learning Methods, AI Personalization, Digital Marketing Tools, Data-Driven Marketing, Customer Analysis, Marketing Automation, Digital Marketing, Marketing Strategies, Applied Machine Learning, Big Data, Customer Insights, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Predictive Analytics
Skills you'll gain: Analytics, Data Analysis, Google Cloud Platform, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Machine Learning Methods, Model Deployment
Skills you'll gain: Big Data, Model Training, Applied Machine Learning, Google Cloud Platform, Data Analysis, Machine Learning Methods, Query Languages, Machine Learning Software
In summary, here are 10 of our most popular mathematics for machine learning courses
- Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
- Machine Learning with PySpark: Customer Churn Analysis: Coursera
- Machine Learning Projects in R with Caret: EDUCBA
- Introduction to Machine Learning in Sports Analytics: University of Michigan
- Python and Machine-Learning for Asset Management with Alternative Data Sets: EDHEC Business School
- Mathematics and Democracy Teach Out: Johns Hopkins University
- CNNs with TensorFlow: Basics of Machine Learning: Coursera
- Machine Learning in Healthcare: Foundations and Applications: Cleveland Clinic
- Machine Learning and AI Applications in Healthcare: Microsoft
- Digital Marketing Tools: Machine Learning and AI: University of Maryland, College Park
