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.

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
Intermediate · 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, Box Plots
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

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
Beginner · 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

Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Data Presentation, Data Analysis, Model Evaluation, Dashboard Creation, Interactive Data Visualization, No-Code Development, Market Data, Business Analytics, Data Science, Analytics, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Machine Learning, Predictive Modeling, Data Visualization
Beginner · Specialization · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Logistic Regression, Financial Data
Intermediate · Course · 1 - 4 Weeks

Intermediate · Course · 3 - 6 Months

University of California San Diego
Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability & Statistics, Programming Principles, Network Analysis, Theoretical Computer Science, Bayesian Statistics, Python Programming, Cybersecurity, Algorithms, Arithmetic
Beginner · Specialization · 3 - 6 Months

LearnQuest
Skills you'll gain: No-Code Development, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Performance Measurement, Business Metrics, Responsible AI, Cloud Deployment, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Compliance Management
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Model Training, Tensorflow, Machine Learning Methods, Systems Architecture, Performance Tuning, Software Architecture, Distributed Computing, Hybrid Cloud Computing, Dependency Analysis, Data Processing
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 1 - 3 Months