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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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    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    4.6
    Rating, 4.6 out of 5 stars
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    12 reviews

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

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    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms, Test Data, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    818 reviews

    Intermediate · Course · 1 - 3 Months

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    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Octave for Machine Learning: Analyze & Visualize

    Skills you'll gain: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Preprocessing, Data Manipulation, Linear Algebra, Software Installation

    Mixed · Course · 1 - 4 Weeks

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    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, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
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    331 reviews

    Intermediate · Course · 1 - 3 Months

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    University of Pennsylvania

    Machine Learning Essentials

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

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Generative AI, Data Preprocessing, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

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    University of Glasgow

    Machine Learning and its Applications

    Skills you'll gain: Data Preprocessing, Model Evaluation, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    5
    Rating, 5 out of 5 stars
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    47 reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Machine Learning, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    8 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 with R: Build, Analyze & Predict: EDUCBA
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • Supervised Machine Learning: Regression: IBM
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Octave for Machine Learning: Analyze & Visualize: EDUCBA
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Machine Learning Essentials: University of Pennsylvania
  • Foundations of ML & Python for Data Science: Packt
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Building a Machine Learning Solution: Coursera

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