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Math For Machine Learning Courses

Courses in Math for Machine Learning often teach linear algebra, calculus, probability, and statistics, providing a solid foundation for understanding algorithms. You can build skills in optimization techniques, data analysis, and model evaluation, which are crucial for effective machine learning applications. Many courses introduce tools like Python libraries such as NumPy and TensorFlow, which help you implement mathematical concepts in AI projects and enhance your ability to work with data-driven models.

Popular Math For Machine Learning Courses and Certifications


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  • A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Model Training, Data Validation, Data Cleansing, Data Ethics, Data Transformation, Model Optimization, Verification And Validation, Applied Machine Learning, Machine Learning, Responsible AI, Machine Learning Algorithms, Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4 stars, 98 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.4 (98) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning

    4.6 stars, 3.2K reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 4.6 (3.2K) · Intermediate · Specialization · 1 - 3 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation

    4.6 stars, 15K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (15K) · Beginner · Specialization · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Dimensionality Reduction, Data Transformation, Machine Learning, Computational Thinking

    4.6 stars, 13K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.6 (13K) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • B

    Birla Institute of Technology & Science, Pilani

    Introduction to Machine Learning

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Model Training, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Bayesian Statistics, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Classification Algorithms, Decision Tree Learning, Model Optimization, Data Preprocessing, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree

What brings you to Coursera today?

  • U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning, Agentic systems, Artificial Intelligence, Model Optimization, Algorithms, AI literacy

    4.5 stars, 60 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.5 (60) · Intermediate · Specialization · 3 - 6 Months

    Category: Job skills
    Job skills
    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, Applied Machine Learning, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis

    4.6 stars, 2.4K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (2.4K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    3.6 stars, 16 reviews, Beginner, Specialization, 1 - 3 Months

    ★ 3.6 (16) · Beginner · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction

    4.9 stars, 11 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.9 (11) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
  • G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    4.8 stars, 646 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.8 (646) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots

    4.6 stars, 698 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (698) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Machine Learning Algorithms, Software Visualization, Machine Learning, Python Programming, Advanced Mathematics, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives

    4.8 stars, 971 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.8 (971) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial

What brings you to Coursera today?

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Best Math For Machine Learning courses from DeepLearning.AI

Top-rated Math For Machine Learning courses offered by DeepLearning.AI on Coursera.

  1. 1
    Mathematics for Machine Learning and Data Science
    DeepLearning.AIIntermediate1 - 3 Months4.6(3,247)DeepLearning.AI
  2. 2
    Linear Algebra for Machine Learning and Data Science
    DeepLearning.AIIntermediate1 - 4 Weeks4.6(2,374)DeepLearning.AI
  3. 3
    Probability & Statistics for Machine Learning & Data Science
    DeepLearning.AIIntermediate1 - 4 Weeks4.6(698)DeepLearning.AI

Best Math For Machine Learning certificate programs

Earn a certificate in Math For Machine Learning from top universities and companies.

  1. 1
    Mathematics for Machine Learning
    Imperial College LondonBeginner3 - 6 Months4.6(15,095)Specialization
  2. 2
    AI and Machine Learning Essentials with Python
    University of PennsylvaniaIntermediate3 - 6 Months4.5(60)Specialization
  3. 3
    Mathematical Foundations for Data Science and Analytics
    University of PittsburghBeginner1 - 3 Months3.6(16)Specialization

Best Math For Machine Learning courses for beginners

Top-rated beginner-friendly Math For Machine Learning courses with no prerequisites.

  1. 1
    Mathematics for Machine Learning: Linear Algebra
    Imperial College LondonBeginner1 - 3 Months4.6(12,613)No prerequisites
  2. 2
    Foundational Mathematics for AI
    Johns Hopkins UniversityBeginner1 - 3 Months4.9(11)No prerequisites

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