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.

Skills you'll gain: ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks, Data Processing
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Visualization, Keras (Neural Network Library), Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Data Cleansing, Machine Learning, Supervised Learning, Regression Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, PySpark, Application Deployment, Data Analysis, Apache Spark, Predictive Modeling, Data Processing, Machine Learning Methods, Customer Analysis, Decision Tree Learning, Data Cleansing, Machine Learning, Predictive Analytics
Intermediate · Guided Project · Less Than 2 Hours

Universidad de los Andes
Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Capital Markets, Market Trend, Investments, Securities Trading, Applied Machine Learning, Performance Analysis, Return On Investment, Financial Analysis, Machine Learning Algorithms, Machine Learning, Trend Analysis, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Image Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Dimensionality Reduction, Performance Metric
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Scalability, Machine Learning, Technical Design, Amazon Elastic Compute Cloud, Cloud Computing, AWS Identity and Access Management (IAM), Cloud Security, Data Management, Disaster Recovery, Data Security
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Python Programming, Random Forest Algorithm
Intermediate · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Apache Hadoop, Machine Learning Methods, Customer Analysis, MarTech, Marketing Analytics, Digital Marketing, Marketing Strategies, Big Data, Machine Learning, Artificial Neural Networks, Performance Review, Machine Learning Algorithms, Deep Learning, Artificial Intelligence, Predictive Analytics
Beginner · Course · 1 - 4 Weeks

EDHEC Business School
Skills you'll gain: Text Mining, Applied Machine Learning, Network Analysis, Data Visualization Software, Financial Data, Market Data, Unstructured Data, Web Scraping, Social Network Analysis, Advanced Analytics, Financial Market, Financial Analysis, Investments, Data Mining, Asset Management, Python Programming, Predictive Analytics, Data Analysis, Risk Analysis, Consumer Behaviour
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Decision Tree Learning, Deep Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Python Programming, Software Visualization
Beginner · Guided Project · Less Than 2 Hours