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: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
★ 4.4 (92) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Data Preprocessing, Responsible AI, Model Training, Generative Model Architectures, Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, Data Presentation, Machine Learning Software, Prompt Engineering, Model Evaluation, Feature Engineering, Fine-tuning
Intermediate · Course · 1 - 3 Months

McMaster University
Skills you'll gain: Lifelong Learning, Willingness To Learn, Learning Strategies, Growth Mindedness, Mental Concentration, Mentorship, Adaptability, Professional Development, Personal Development, Productivity, Open Mindset, Resilience, Stress Management, Overcoming Obstacles, Digital pedagogy, Relationship Building
★ 4.8 (13K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Artificial Neural Networks, Applied Machine Learning, Python Programming, Fraud detection, Machine Learning Algorithms, Model Optimization, Model Evaluation
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Model Training, Image Analysis, Data Processing, Scientific Visualization, Data Transformation, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning
★ 4.1 (11) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Applied Machine Learning, Feature Engineering, Deep Learning, Machine Learning Algorithms, Matplotlib, Jupyter, Python Programming, Data Wrangling, Data Processing, NumPy, Data Cleansing, Model Training, Data Manipulation, Data Transformation, Artificial Neural Networks, Seaborn
Mixed · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, DevOps, Application Lifecycle Management, Machine Learning Methods, AI Workflows, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
Intermediate · Specialization · 1 - 3 Months

Deep Teaching Solutions
Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Willingness To Learn, Learning Theory, Productivity, Quick Learning, Growth Mindedness, Mental Concentration, Creativity, Cognitive flexibility, Habit Formation, Adaptability
★ 4.8 (93K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Model Deployment, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Data Pipelines, Machine Learning Methods, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming
★ 4.3 (16) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Machine Learning Methods, Model Training, Applied Machine Learning, Cloud API, Big Data, Machine Learning, Jupyter
★ 4.6 (1.2K) · Intermediate · Course · 1 - 3 Months