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  2. Math For Machine Learning

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


  • D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Machine Learning, Python Programming, Artificial Neural Networks, Computer Programming, Derivatives

    4.8 stars, 974 reviews, Intermediate, Course, 1 - 4 Weeks

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

  • E

    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Model Optimization, Pandas (Python Package), Model Evaluation, NumPy, Machine Learning Algorithms, Machine Learning, Data Science, Dimensionality Reduction, Classification Algorithms

    4.8 stars, 12 reviews, Mixed, Course, 1 - 4 Weeks

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

  • D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Machine Learning Methods, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm

    4.9 stars, 39K reviews, Beginner, Specialization, 1 - 3 Months

    ★ 4.9 (39K) · Beginner · Specialization · 1 - 3 Months

    Status: Top AI program
    Top AI program
  • I

    IBM

    Machine Learning with Python: Build Real-World ML Models

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization

    4.7 stars, 19K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (19K) · Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Analyze and Prepare Data for Machine Learning

    Skills you'll gain: Matplotlib, Feature Engineering, Data Preprocessing, Seaborn, Plot (Graphics), Pandas (Python Package), Data Visualization, Statistical Visualization, Data Wrangling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Data Analysis, Statistical Analysis, Statistical Machine Learning, Data Modeling, Data Engineering, Machine Learning, Statistical Modeling, Analysis, Regression Analysis

    Mixed · Course · 1 - 4 Weeks

    Category: New
    New
  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7 stars, 3.8K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.5 stars, 318 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.5 (318) · Beginner · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    Fundamentals of Machine Learning and Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, AI literacy, Machine Learning

    4.6 stars, 4.1K reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.6 (4.1K) · Mixed · Course · 1 - 4 Weeks

    Category: Free
    Free
  • I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Model Training, Machine Learning, Model Evaluation

    4.7 stars, 853 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (853) · Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.8 stars, 51 reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.8 (51) · Beginner · Specialization · 3 - 6 Months

  • F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning, Machine Learning Methods, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Model Optimization, Logistic Regression, Anomaly Detection, Classification Algorithms

    4.5 stars, 14 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.5 (14) · Beginner · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Model Training, Extract, Transform, Load, Predictive Modeling, Model Deployment, Classification Algorithms, Regression Analysis

    4.5 stars, 117 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.5 (117) · Intermediate · Course · 1 - 4 Weeks

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