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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: Free Trial
      Free Trial

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Artificial Neural Networks, Verification And Validation, Generative AI, Data Processing, Tensorflow, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Computer Vision, Artificial Intelligence, Scientific Visualization, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Git (Version Control System), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      140 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

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

      Intermediate · Course · 1 - 4 Weeks

    • Coursera Project Network

      Breast Cancer Prediction Using Machine Learning

      Skills you'll gain: Data Cleansing, Data Processing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Supervised Learning, Machine Learning Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      47 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial

      University of Michigan

      Python for Everybody

      Skills you'll gain: Web Scraping, Data Processing, Relational Databases, Data Visualization, JSON, Database Design, SQL, Network Protocols, Web Services, Restful API, Data Modeling, Programming Principles, Application Programming Interface (API), Database Systems, Database Management, Extensible Markup Language (XML), Data Structures, Data Collection, Computer Programming, Python Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      278K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Access, Applied Machine Learning, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Modeling, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial

      Johns Hopkins University

      Algebra: Elementary to Advanced - Equations & Inequalities

      Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      598 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Restful API, ChatGPT, Keras (Neural Network Library), Data Transformation, Supervised Learning, Flask (Web Framework), Data Analysis, Data Cleansing, Data Manipulation, Deep Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Data Import/Export

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

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial

      University of Michigan

      Programming for Everybody (Getting Started with Python)

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      232K reviews

      Beginner · Course · 1 - 3 Months

    • Stanford University

      Introduction to Logic

      Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Problem Solving, Business Logic, Functional Design, Programming Principles

      4.4
      Rating, 4.4 out of 5 stars
      ·
      650 reviews

      Intermediate · 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

    • Neural Networks and Deep Learning: DeepLearning.AI
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Data Science: Foundations using R: Johns Hopkins University
    • Foundations of AI and Machine Learning: Microsoft
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • Breast Cancer Prediction Using Machine Learning: Coursera Project Network
    • Python for Everybody: University of Michigan
    • IBM Introduction to Machine Learning: IBM
    • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
    • IBM Generative AI Engineering: IBM

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