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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


  • G

    Google Cloud

    Learning TensorFlow: the Hello World of Machine Learning

    Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Data-Driven Decision-Making, Model Training, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Development Environment

    4
    Rating, 4 out of 5 stars
    ·
    20 reviews

    Beginner · Project · Less Than 2 Hours

  • D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    613 reviews

    Advanced · Specialization · 3 - 6 Months

  • U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, General Mathematics, Numerical Analysis, Mathematical Modeling, Algebra, Cryptography, Logical Reasoning, Geometry, Deductive Reasoning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    281 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Model Training, Data Preprocessing, Machine Learning Methods, Embedded Systems, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Data Ethics, Deep Learning, Responsible AI, Data Collection, Model Deployment, Convolutional Neural Networks, Predictive Modeling, Feature Engineering, Model Optimization, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    756 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Top AI Program
    Top AI Program
    C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    29 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, AI Integrations, MLOps (Machine Learning Operations), Application Deployment, AI Workflows, Model Evaluation, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    262 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    Shanghai Jiao Tong University

    Discrete Mathematics

    Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Network Model, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Mathematics and Mathematical Modeling, Logical Reasoning, General Mathematics, Algorithms, Probability, Computer Science

    3.3
    Rating, 3.3 out of 5 stars
    ·
    203 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of London

    Essential Mathematics for Computer Science

    Skills you'll gain: Computational Logic, Algorithms, Arithmetic, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Geometry, Statistics, General Mathematics, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Problem Solving

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    ·
    8 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Pennsylvania

    English for Science, Technology, Engineering, and Mathematics

    Skills you'll gain: Research, Energy and Utilities, Research Methodologies, Vocabulary, Climate Change Adaptation, Learning Strategies, Climate Change Mitigation, Literacy, English Language, Environment, Sustainable Technologies, Language Learning, Scientific Methods, Environmental Science, Grammar, Emerging Technologies

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

    Beginner · Course · 1 - 3 Months

  • B

    Birla Institute of Technology & Science, Pilani

    Basic Engineering Mathematics

    Skills you'll gain: Integral Calculus, Trigonometry, Engineering Analysis, Linear Algebra, Calculus, Advanced Mathematics, Differential Equations, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Engineering, Algebra, Derivatives

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    185 reviews

    Beginner · Course · 1 - 3 Months

  • B

    Birla Institute of Technology & Science, Pilani

    Discrete Mathematics for Computer Science and Engineering

    Skills you'll gain: Theoretical Computer Science, Mathematics and Mathematical Modeling, Applied Mathematics, Algorithms, Cryptography, Data Management

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • E

    EDHEC Business School

    Investment Management with Python and Machine Learning

    Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Portfolio Risk, Applied Machine Learning, Asset Management, Network Analysis, Investments, Data Visualization Software, Machine Learning Methods, Return On Investment, Statistical Machine Learning, Financial Statement Analysis, Financial Data, Market Data, Unstructured Data, Predictive Modeling, Web Scraping, Finance, Risk Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.8K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
  • MLOps | Machine Learning Operations: Duke University
  • Mathematics for Computer Science: University of London
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • Foundations of AI and Machine Learning: Microsoft
  • Discrete Mathematics: Shanghai Jiao Tong University
  • Essential Mathematics for Computer Science: University of London
  • English for Science, Technology, Engineering, and Mathematics: University of Pennsylvania
  • Basic Engineering Mathematics: Birla Institute of Technology & Science, Pilani

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