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Math For Machine Learning Courses

Courses in Math for Machine Learning can help you learn linear algebra, calculus, probability, and statistics. You can build skills in data analysis, model evaluation, and algorithm optimization. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI and artificial intelligence projects. You'll also explore techniques like gradient descent and matrix factorization, which are crucial for developing effective machine learning models.


Popular Math For Machine Learning Courses and Certifications


  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Regression Analysis, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Model Training, Artificial Intelligence, Deep Learning, Computer Vision, Transfer Learning, Application Development, Predictive Modeling, Model Deployment, Python Programming

    ★ 4.6 (14K) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Machine Learning with Python & Statistics

    Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Statistical Machine Learning, Probability & Statistics, Linear Algebra, Statistical Methods, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Data Science, Statistics, Machine Learning Methods, Applied Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning

    Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Statistical Modeling, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Predictive Modeling, Probability & Statistics, Bayesian Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Model Optimization, Feature Engineering

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Unsupervised Learning, Machine Learning Methods, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming

    ★ 4.1 (249) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Model Training, Market Trend, Market Data, Data Preprocessing, Deep Learning, Python Programming, Feature Engineering, Model Evaluation, Correlation Analysis, Artificial Neural Networks, Performance Metric

    ★ 3.9 (379) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Visualization, Plot (Graphics), Python Programming, Applied Machine Learning, Model Optimization, Model Training, Data Processing, Pandas (Python Package), Data Wrangling, Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Data Manipulation

    ★ 4.8 (12) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Case Studies, Data Collection, Data Capture, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence

    ★ 4.7 (747) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    ★ 4.9 (8.7K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Learn & Build Machine Learning Models with Python

    Skills you'll gain: Matplotlib, Data Visualization, NumPy, Pandas (Python Package), Model Evaluation, Plot (Graphics), Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Model Training, Machine Learning Methods, Machine Learning, Feature Engineering, Predictive Modeling, Data Wrangling, Applied Machine Learning, Supervised Learning, Data Processing, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Fundamentals of Machine Learning

    Skills you'll gain: LLM Application, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Fine-tuning, Model Training

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Credit offered
    Credit offered
  • N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Machine Learning Methods, Model Training, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Model Optimization, Verification And Validation, Linear Algebra, Data Transformation

    ★ 4.9 (331) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Training, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Generative AI, Model Optimization, Regression Analysis

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

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…567…834

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

  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Machine Learning with Python & Statistics: EDUCBA
  • Machine Learning Essentials: University of Pennsylvania
  • Matrix Methods: University of Minnesota
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Machine Learning with Python: Build & Optimize: EDUCBA
  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
  • Advanced Learning Algorithms: DeepLearning.AI
  • Learn & Build Machine Learning Models with Python: EDUCBA
  • Fundamentals of Machine Learning: Packt

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