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  • Math For Machine Learning

Math For Machine Learning Courses

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.

Popular Math For Machine Learning Courses and Certifications


  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 简体中文

    Skills you'll gain: Google Cloud Platform, Generative AI, Generative AI Agents, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, AI Workflows, Model Training, Agentic Workflows, Agentic systems, Machine Learning, Artificial Intelligence, Model Deployment, Prompt Engineering, Data Preprocessing

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Deep Learning for AI Part 2

    Skills you'll gain: Generative AI, Generative Model Architectures, Multimodal Prompts, Large Language Modeling, Deep Learning, Recurrent Neural Networks (RNNs), Responsible AI, Embeddings, Musical Composition, Music, Autoencoders, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Machine Learning Methods, Algorithms, Machine Learning, Data Structures, Analysis, Software Engineering

    Advanced · Course · 1 - 4 Weeks

  • P

    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Data Integration, Google Cloud Platform, Data Processing, Data Quality, Data Validation, Apache Spark, Generative AI, Data Import/Export, Data Manipulation, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning Methods, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Using Generative AI for Learning Design Activities

    Skills you'll gain: Generative AI, Prompt Engineering, Course Development, AI literacy, Curriculum Planning, Instructional Design, Brainstorming, Design Strategies, Content Creation, Professional Development

    4.9
    Rating, 4.9 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Feature Engineering and Feature Stores for AI and ML

    Skills you'll gain: Feature Engineering, Apache Airflow, Databricks, MLOps (Machine Learning Operations), Data Pipelines, AI Orchestration, Data Lakes, Model Training, Apache Spark, Data Store, AI Workflows, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Machine Learning, Data Collection, SQL, Data Storage, Machine Learning Algorithms, Warehouse Management

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering for ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, AI literacy, AI Enablement, AI powered creativity, Artificial Intelligence, Large Language Modeling, Game Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Model Training, Matlab, Generative AI, Deep Learning, Model Evaluation, Data Preprocessing, Interoperability

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Excel for Beginners: Beginner Functions

    Skills you'll gain: Spreadsheet Software, Microsoft Excel, Microsoft Office

    4.3
    Rating, 4.3 out of 5 stars
    ·
    92 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundations for Active Learning in STEM Courses

    Skills you'll gain: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Mathematics Education, Digital pedagogy, Professional Development, Problem Solving, Project Design, Critical Thinking, Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Excel for Beginners: Introduction to Spreadsheets

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Entry, Microsoft Office, Data Analysis Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    224 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
  • Deep Learning for AI Part 2: Northeastern University
  • Traverse Trees for ML with DFS & BFS: Coursera
  • Google BigQuery for Data and ML Engineers: Pearson
  • Using Generative AI for Learning Design Activities: University of Michigan
  • Feature Engineering and Feature Stores for AI and ML: Edureka
  • Prompt Engineering for ChatGPT: Vanderbilt University
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Excel for Beginners: Beginner Functions: Coursera

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