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.

Google Cloud
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Training, Tensorflow, Model Evaluation, Systems Architecture, Model Optimization, Data Validation, Distributed Computing, Performance Tuning, Data Pipelines
Advanced · Course · 1 - 3 Months

Skills you'll gain: Investment Management, Financial Modeling, Investments, Securities (Finance), Financial Analysis, Mathematical Modeling, Financial Market, Mathematical Theory & Analysis, Finance, Cash Flows, Return On Investment, Calculus, Portfolio Management, Derivatives, Applied Mathematics, Integral Calculus, Business
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Training and Development, Training Programs, Employee Training, Developing Training Materials, Adult Education, Drive Engagement, Employee Engagement, Compliance Training, Instructional Design, Workforce Development, On-The-Job Training, Organizational Development, Needs Assessment, Program Evaluation, Professional Development, Learning Styles
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, Model Training, DevOps, Cloud Deployment, Devops Tools, Continuous Deployment, CI/CD, AI Workflows, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Decision Intelligence, Data Transformation, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Data Validation, Performance Measurement
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Data Access, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Classification Algorithms, Machine Learning, Supervised Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Plot (Graphics), Artificial Neural Networks, Data Cleansing, Data Import/Export, Data Preprocessing, Natural Language Processing, Model Training, Python Programming, Machine Learning, Automation
Beginner · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud API, Cloud Deployment, Machine Learning, Microsoft Azure, Model Training, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Model Training, Predictive Modeling, Statistical Machine Learning, Applied Machine Learning, Data Processing, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Machine Learning Methods, Model Evaluation, Classification Algorithms, Data Science, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing, Model Evaluation, Predictive Modeling, Predictive Analytics, Diagnostic Tests, Analytics, Classification Algorithms, Software Installation
Mixed · Course · 1 - 4 Weeks