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    • Mathematics For Machine Learning

    Mathematics for Machine Learning Courses Online

    Master mathematics for machine learning. Learn about linear algebra, calculus, and probability theory as foundations for building machine learning models.

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    Explore the Mathematics for Machine Learning Course Catalog

    • Status: New
      New
      Status: Preview
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      O

      O.P. Jindal Global University

      Machine Learning

      Skills you'll gain: Tensorflow, Python Programming, Scikit Learn (Machine Learning Library), Image Analysis, Matplotlib, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Natural Language Processing, Data Science, NumPy, Deep Learning, Data Analysis, Predictive Modeling, Supervised Learning, Artificial Neural Networks, Pandas (Python Package), Computer Vision, Regression Analysis

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Mathematics for Engineers

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, Generative AI, Software Development Life Cycle, Software Architecture, ChatGPT, Web Development Tools, Responsive Web Design, Development Environment, Generative AI Agents, Software Design, Large Language Modeling, Software Engineering, Flask (Web Framework), Software Development Methodologies, Software Design Patterns, Jupyter, Professional Networking, Python Programming, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Feature Engineering, Unsupervised Learning, Applied Machine Learning, Reinforcement Learning, Machine Learning Algorithms, Supervised Learning, Computer Vision, Image Analysis, Regression Analysis, Decision Tree Learning, Data Processing, Classification And Regression Tree (CART), Machine Learning, Predictive Modeling, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Data Cleansing, Deep Learning, Random Forest Algorithm

      3.6
      Rating, 3.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Combinatorics, Computational Logic, Computational Thinking, Probability, Theoretical Computer Science, Logical Reasoning, Deductive Reasoning, Cryptography, Probability & Statistics, Public Key Cryptography Standards (PKCS), Arithmetic, Algorithms, Mathematical Modeling, Network Analysis, Encryption, Data Structures, Mathematical Theory & Analysis, Operations Research, Computer Security

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Keras (Neural Network Library), Unsupervised Learning, Feature Engineering, Generative AI, Supervised Learning, Deep Learning, Natural Language Processing, Reinforcement Learning, Applied Machine Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Artificial Neural Networks, Jupyter, ChatGPT, Python Programming, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Machine Learning

      Skills you'll gain: Feature Engineering, Generative AI, Supervised Learning, Classification And Regression Tree (CART), Data Presentation, Data Analysis, Data Cleansing, Unsupervised Learning, Exploratory Data Analysis, Regression Analysis, Deep Learning, Reinforcement Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Data Science, Predictive Modeling, Machine Learning, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Preview
      Preview
      S

      Stanford University

      Introduction to Mathematical Thinking

      Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Deductive Reasoning, Calculus, Logical Reasoning, Computational Logic, General Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, Probability & Statistics, NumPy, Statistics, Jupyter, Linear Algebra, Data Science, Python Programming, Machine Learning, Applied Mathematics

      4
      Rating, 4 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Machine Learning Algorithms, Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Decision Tree Learning, Feature Engineering, Classification And Regression Tree (CART), Python Programming, Statistical Modeling, Regression Analysis, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      Duke University

      Data Science Math Skills

      Skills you'll gain: Probability, General Mathematics, Bayesian Statistics, Calculus, Graphing, Descriptive Statistics, Algebra, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Data Literacy, Linear Algebra, Statistical Visualization, Data Visualization, Mathematical Modeling, Bayesian Statistics, Dimensionality Reduction, Probability & Statistics, Descriptive Statistics, Statistical Methods, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability Distribution, Applied Mathematics, Advanced Mathematics, Calculus, Statistical Modeling, Algebra, Integral Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    Mathematics For Machine Learning learners also search

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

    • Machine Learning: O.P. Jindal Global University
    • Mathematics for Engineers: The Hong Kong University of Science and Technology
    • IBM AI Developer: IBM
    • Applied Machine Learning: Johns Hopkins University
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • IBM AI Engineering: IBM
    • IBM Machine Learning: IBM
    • Introduction to Mathematical Thinking: Stanford University
    • Mathematics for Machine Learning: PCA: Imperial College London
    • Applied Machine Learning in Python: University of Michigan

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