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    • Math For Machine Learning

    Math for Machine Learning Courses Online

    Explore mathematics for machine learning to understand algorithms. Learn about linear algebra, calculus, and probability for ML.

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    Explore the Math for Machine Learning Course Catalog

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning

      Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Artificial Intelligence, Automation, Supervised Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      240 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Network Routing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Generative AI

      Skills you'll gain: Generative AI, Application Development, Artificial Intelligence, Google Cloud Platform, Machine Learning Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation, Workflow Management, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Predictive Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Restful API, Keras (Neural Network Library), ChatGPT, Supervised Learning, Exploratory Data Analysis, Flask (Web Framework), Data Wrangling, Data Analysis, Jupyter, Regression Analysis, Deep Learning, Scikit Learn (Machine Learning Library), Application Deployment, Applied Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      89K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Digital Marketing

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Digital Advertising, Email Marketing, OpenAI, Digital Marketing, Marketing Automation, AI Personalization, Marketing Analytics, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Keyword Research, Large Language Modeling, Social Media Marketing, Artificial Intelligence, Search Engine Optimization, IBM Cloud

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 1 - 3 Months

    • P

      Peking University

      Chinese for Beginners

      Skills you'll gain: Language Learning, Language Competency, Vocabulary, Oral Expression, Oral Comprehension, Grammar, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Systems Design, Cloud Platforms, Data Management, Data Governance, Hybrid Cloud Computing, Machine Learning, Cloud Computing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.9K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Pseudocode, Linear Algebra, Probability Distribution, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Mathematics for Engineers

      Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mechanical Engineering, Calculus, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Advanced Mathematics, Geometry, Simulation and Simulation Software, Scripting, General Mathematics, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Software Development Tools, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Cloud Services, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      English for Career Development

      Skills you'll gain: English Language, Vocabulary, Writing, Business Writing, Interviewing Skills, Verbal Communication Skills, Business Correspondence, Social Skills, Professional Networking, Business Communication, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17K reviews

      Mixed · Course · 1 - 3 Months

    Searches related to math for machine learning

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

    • Microsoft Azure Machine Learning: Microsoft
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Introduction to Generative AI : Google Cloud
    • Exploratory Data Analysis for Machine Learning: IBM
    • IBM Generative AI Engineering: IBM
    • Generative AI for Digital Marketing: IBM
    • Chinese for Beginners: Peking University
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • Reinforcement Learning: University of Alberta
    • Mathematics for Engineers: The Hong Kong University of Science and Technology

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