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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
      Free
      C

      Coursera Project Network

      Machine Learning Pipelines with Azure ML Studio

      Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Supervised Learning, Feature Engineering, Data Pipelines, Data Processing, Data Cleansing, Application Deployment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      805 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      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, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting

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

      Beginner · Specialization · 3 - 6 Months

    • U

      Universitat Autònoma de Barcelona

      Pre-Calculus

      Skills you'll gain: Trigonometry, Integral Calculus, Calculus, Arithmetic, Advanced Mathematics, Algebra, Geometry, Applied Mathematics, Graphing, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      569 reviews

      Beginner · Course · 1 - 3 Months

    • D

      Deep Teaching Solutions

      Learning How to Learn: Powerful mental tools to help you master tough subjects

      Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Human Learning, Willingness To Learn, Productivity, Creativity, Problem Solving, Self-Discipline, Stress Management, Self-Awareness

      4.8
      Rating, 4.8 out of 5 stars
      ·
      92K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Shanghai Jiao Tong University

      Discrete Mathematics

      Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science

      3.3
      Rating, 3.3 out of 5 stars
      ·
      198 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      Stanford University

      Introduction to Logic

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      647 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Managing Machine Learning Projects

      Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technology Solutions, Data Collection, Data Science, Systems Architecture, Feature Engineering, Solution Design, Software Versioning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      254 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Breast Cancer Prediction Using Machine Learning

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      46 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Commonwealth Education Trust

      Foundations of Teaching for Learning: Introduction

      Skills you'll gain: Creative Thinking, Classroom Management, Teaching, Adaptability, Education and Training, Pedagogy, Instructional Strategies, Professionalism, Instructing, Curriculum Planning, Student Engagement, Professional Development, Learning Theory, Collaboration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      834 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Reinforcement Learning, Statistical Machine Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Collaborative Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      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
      ·
      123 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Scikit-Learn For Machine Learning Classification Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Unsupervised Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      16 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
    • Data Science: Foundations using R: Johns Hopkins University
    • Pre-Calculus: Universitat Autònoma de Barcelona
    • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions
    • Discrete Mathematics: Shanghai Jiao Tong University
    • Introduction to Logic: Stanford University
    • Managing Machine Learning Projects: Duke University
    • Breast Cancer Prediction Using Machine Learning: Coursera Project Network
    • Foundations of Teaching for Learning: Introduction: Commonwealth Education Trust
    • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI

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