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.

Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Evaluation, Model Training, AI Workflows, Model Deployment, Data Management, Data Store, Information Management, Data Lakes, Model Optimization, Workflow Management, Metadata Management, Data Pipelines, Machine Learning Methods, Applied Machine Learning, Machine Learning, AI Personalization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Fine-tuning, Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Model Evaluation, Deep Learning, Data Preprocessing
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: AWS SageMaker, Amazon Web Services, Internet Of Things, Cloud Services, Artificial Intelligence and Machine Learning (AI/ML), Blockchain, Applied Machine Learning, Model Deployment, Image Analysis, Remote Access Systems, Event-Driven Programming, Text Mining, AI Personalization, Computer Vision, Natural Language Processing, Scalability
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Deployment, Data Preprocessing, Data Management, Data Governance, Data Processing, AI Workflows, Model Optimization, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Model Evaluation, AI Orchestration, Machine Learning, Program Development, Containerization
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Google Cloud Platform, Model Deployment, Machine Learning
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Cryptography, Model Evaluation, Exploratory Data Analysis, Event-Driven Programming, Encryption, Cryptographic Protocols, Regression Analysis, Apache, Web Development, Web Scraping, Model Training, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Secure Coding, Public Key Cryptography Standards (PKCS), Natural Language Processing, Web Applications, Key Management, Python Programming
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, ChatGPT, Fine-tuning, Keras (Neural Network Library), Model Training, Applied Machine Learning, Data Preprocessing, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning
Intermediate · Guided Project · Less Than 2 Hours

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

Skills you'll gain: Data-Driven Decision-Making, Profit and Loss (P&L) Management, Risk Modeling, Financial Statement Analysis, Financial Systems, Operational Analysis, Risk Analysis, Statistical Machine Learning, Financial Regulation, Regulatory Compliance, Benchmarking
Beginner · Course · 1 - 4 Weeks