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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


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
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    781 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Preview
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    K

    KodeKloud

    Linux for beginners with Hands-on Labs

    Skills you'll gain: Package and Software Management, Command-Line Interface, Linux Commands, Linux, Linux Administration, Unix Commands, Data Storage, Operating Systems, Remote Access Systems, Operating System Administration, TCP/IP, File Management, Service Management, General Networking, DevOps, Network Security, User Accounts

    4.5
    Rating, 4.5 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 3 Months

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    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    402 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    ESG Essentials for Sustainable Business

    Skills you'll gain: Environmental Social And Corporate Governance (ESG), Sustainable Business, Sustainable Development, Corporate Sustainability, Stakeholder Engagement, Environmental Issue, Business Ethics, Stakeholder Analysis, Strategic Thinking, Business Communication, Trend Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    118 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    SQL: A Practical Introduction for Querying Databases

    Skills you'll gain: SQL, Relational Databases, Microsoft SQL Servers, MySQL, Query Languages, Database Systems, Databases, Database Management, Stored Procedure, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

    4.7
    Rating, 4.7 out of 5 stars
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    670 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    N

    National Academy of Sports Medicine

    Nutrition for Optimal Mental Health

    Skills you'll gain: Nutrition and Diet, Nutrition Education, Mental Health, Meal Planning And Preparation, Psychology, Mindfulness

    5
    Rating, 5 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California, Santa Cruz

    C for Everyone, Part 1: Programming Fundamentals

    Skills you'll gain: Programming Principles, Pseudocode

    4.5
    Rating, 4.5 out of 5 stars
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    6.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Coding for Everyone: C and C++

    Skills you'll gain: C++ (Programming Language), C and C++, C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Debugging, Computer Programming, Algorithms, Data Structures, Pseudocode, Command-Line Interface, Graph Theory, Artificial Intelligence, File Systems, Game Design

    4.5
    Rating, 4.5 out of 5 stars
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    9.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Python Project for Data Engineering

    Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Data Pipelines, Data Integration, Python Programming, Unit Testing, Style Guides

    4.6
    Rating, 4.6 out of 5 stars
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    814 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Introduction to Research for Essay Writing

    Skills you'll gain: Organizational Skills, Research, Writing, Research Methodologies, Critical Thinking, Writing and Editing, Proofreading, Editing, Grammar, Style Guides

    4.7
    Rating, 4.7 out of 5 stars
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    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    L

    L&T EduTech

    BIM Fundamentals for Engineers

    Skills you'll gain: Autodesk Revit, Building Information Modeling, Engineering Documentation, Architectural Design, 3D Modeling, Facility Management, Civil Engineering, Structural Engineering, Technical Standard, HVAC, Visualization (Computer Graphics), Electrical Systems, Plumbing, User Interface (UI), File Management

    4.6
    Rating, 4.6 out of 5 stars
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    97 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    C# for .NET Developers

    Skills you'll gain: C# (Programming Language), ASP.NET, .NET Framework, Object Oriented Programming (OOP), Web Applications, Programming Principles, Web Development, Debugging, Event-Driven Programming, Model View Controller, Development Environment

    4.1
    Rating, 4.1 out of 5 stars
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    296 reviews

    Intermediate · Course · 1 - 4 Weeks

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1…484950…834

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

  • Advanced Statistics for Data Science: Johns Hopkins University
  • Linux for beginners with Hands-on Labs: KodeKloud
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • ESG Essentials for Sustainable Business: Duke University
  • SQL: A Practical Introduction for Querying Databases: IBM
  • Nutrition for Optimal Mental Health: National Academy of Sports Medicine
  • C for Everyone, Part 1: Programming Fundamentals: University of California, Santa Cruz
  • Coding for Everyone: C and C++: University of California, Santa Cruz
  • Python Project for Data Engineering: IBM
  • Introduction to Research for Essay Writing: University of California, Irvine

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