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.

Politecnico di Milano
Skills you'll gain: Teaching, Pedagogy, Student Engagement, Instructional and Curriculum Design, Instructional Strategies, Instructional Design, Lesson Planning, Curriculum Planning, Student-Centred Learning, Innovation, Learning Theory, Quality Assessment, Infographics
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Student-Centred Learning, Analysis, Communication, Collaboration
Beginner · Course · 1 - 4 Weeks

École Polytechnique
Skills you'll gain: Language Competency, Grammar, Language Learning, Intercultural Competence, Oral Comprehension, Multilingualism, Oral Expression, Cultural Diversity, Higher Education, Vocabulary, Formal Learning, Writing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Statistical Visualization, Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Artificial Intelligence, Machine Learning
Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Self-Awareness, Teaching, Education and Training, Empathy & Emotional Intelligence, Journals, Pedagogy, Empathy, Growth Mindedness, Tenacity, Persistence, Relationship Building
Advanced · Course · 1 - 3 Months

Skills you'll gain: Education Software and Technology, Collaborative Software, Digital pedagogy, Learning Management Systems, Content Management
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Interviewing Skills, Oral Expression, Follow Through, Communication, Business Writing
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision
Advanced · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Verification And Validation, Dimensionality Reduction
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Workday (Software), Human Resources Software, Human Capital, HR Tech, Benefits Enrollment Processes, Human Resources Information System (HRIS), People Analytics, Learning Management Systems, Human Resource Management, Workflow Management, Staff Management, Business Reporting, Management Reporting, Applicant Tracking Systems, Ad Hoc Reporting, Training Programs, Business Process, Workforce Planning, Compensation Analysis, Data Entry
Beginner · Course · 1 - 3 Months

Skills you'll gain: Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Model Optimization, Recurrent Neural Networks (RNNs), Fine-tuning, Image Analysis, Generative Adversarial Networks (GANs), Model Training, Computer Vision, Natural Language Processing, Scalability, Reinforcement Learning, Distributed Computing
Intermediate · Course · 1 - 3 Months