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  • Mathematics For Machine Learning

Mathematics for Machine Learning Courses

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.

Popular Mathematics for Machine Learning Courses and Certifications


  • U

    University of Illinois Urbana-Champaign

    Learning Technologies Foundations and Applications

    Skills you'll gain: Education Software and Technology, Learning Theory, Instructional Design, Digital pedagogy, Technology Solutions, Disabilities, Technology Strategies, Emerging Technologies, Gerontology

    ★ 4.5 (196) · Beginner · Course · 1 - 3 Months

  • I

    Intel

    Leader of Learning Experiences

    Skills you'll gain: Innovation, Lesson Planning, Education Software and Technology, Digital pedagogy, Education and Training, Instructional Strategies, Teamwork, Collaboration, Classroom Management, Virtual Environment, Curriculum Planning, Creative Problem-Solving, Team Collaboration, Stress Management, Technology Strategies, Technology Roadmaps, Social Impact, Patient Communication, digital literacy, Artificial Intelligence

    Beginner · Specialization · 1 - 3 Months

  • V

    Vanderbilt University

    Generative AI & AI Agent Organizational Strategy for Leaders

    Skills you'll gain: AI Enablement, AI Product Strategy, Agentic Workflows, Agentic systems, Workforce Management, Scalability, Workforce Planning, Solution Design, Automation, Prompt Engineering, Decision Making

    ★ 4.8 (29) · Beginner · Course · 1 - 3 Months

  • I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Python Programming

    ★ 4.5 (695) · Advanced · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    HTML, CSS, and Javascript for Web Developers

    Skills you'll gain: HTML and CSS, Ajax, Javascript, Responsive Web Design, Front-End Web Development, Web Design, Web Applications, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Web Development, Development Environment, Web Development Tools, Web Content Accessibility Guidelines, Semantic Web

    ★ 4.7 (17K) · Mixed · Course · 1 - 4 Weeks

    Category: Top AI Program
    Top AI Program
  • E

    EDUCBA

    Analyze Machine Data Using Splunk Fundamentals

    Skills you'll gain: Splunk, Anomaly Detection, Dashboard Creation, Statistical Reporting, Real Time Data, Data Analysis, Data Visualization Software, System Configuration, Analytical Skills, Data Processing, Distributed Computing, Data Cleansing, Data Import/Export, Configuration Management

    Beginner · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Y

    Yale University

    The Science of Well-Being for Teens

    Skills you'll gain: Positivity, Habit Formation, Mental Health, Optimism, Goal Setting, Stress Management, Resilience, Self-Awareness, Behavioral Economics, Psychology, Mindfulness, Mental and Behavioral Health

    ★ 4.8 (819) · Beginner · Course · 1 - 3 Months

  • W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra

    ★ 4.4 (13) · Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting

    ★ 4.4 (1K) · Intermediate · Course · 1 - 3 Months

  • P

    Politecnico di Milano

    The Learning Innovation Network

    Skills you'll gain: Developing Training Materials, Educational Materials, Classroom Management, Course Development, Teaching, Education and Training, Instructional and Curriculum Design, Interactive Learning, Instructional Design, Instructional Strategies, Innovation, Pedagogy, Student Engagement, Resource Utilization, Network Planning And Design, Infographics

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Neuronale Netze und Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Model Training, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

1…565758…834

In summary, here are 10 of our most popular mathematics for machine learning courses

  • Learning Technologies Foundations and Applications: University of Illinois Urbana-Champaign
  • Leader of Learning Experiences: Intel
  • Generative AI & AI Agent Organizational Strategy for Leaders: Vanderbilt University
  • AI Capstone Project with Deep Learning : IBM
  • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
  • Analyze Machine Data Using Splunk Fundamentals: EDUCBA
  • Fundamentals of Deep Learning: Whizlabs
  • The Science of Well-Being for Teens: Yale University
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Deep Learning with Keras and Tensorflow: IBM

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