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.

LearnKartS
Skills you'll gain: AWS SageMaker, Computer Vision, Applied Machine Learning, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Feature Engineering, Data Cleansing, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Supervised Learning, Predictive Analytics, Machine Learning, Human Resources, Decision Tree Learning, Employee Retention
Beginner · Guided Project · Less Than 2 Hours

Board Infinity
Skills you'll gain: Java, Java Programming, Apache Spark, Applied Machine Learning, Deep Learning, Data Processing, Application Deployment, Natural Language Processing, Data Cleansing, Machine Learning Algorithms, Machine Learning, Feature Engineering, Data Transformation, Scalability, Artificial Neural Networks, Regression Analysis, Interoperability
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework), Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Presentation, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PySpark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Google Cloud Platform, Big Data, Applied Machine Learning, Predictive Modeling, Analytics, Predictive Analytics, Machine Learning, SQL
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Rmarkdown, Shiny (R Package), Deep Learning, Data Import/Export, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Plotly, Applied Machine Learning, Machine Learning Algorithms, Web Scraping, Artificial Intelligence, Dimensionality Reduction, Interactive Data Visualization, Statistical Analysis, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Prototyping
Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Mathematical Theory & Analysis, Data Analysis, Statistical Methods, Derivatives
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Relational Databases, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Histogram, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Development Environment, Software Engineering
Beginner · Guided Project · Less Than 2 Hours