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  • Machine Learning

Machine Learning Courses

Machine learning courses can help you learn data preprocessing, supervised and unsupervised learning, and model evaluation techniques. You can build skills in feature engineering, algorithm selection, and hyperparameter tuning. Many courses introduce tools like Python, TensorFlow, and Scikit-learn, demonstrating how these skills are applied to create predictive models and analyze large datasets.


Popular Machine Learning Courses and Certifications


  • Status: Preview
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    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Linear Algebra, Statistical Machine Learning, Mathematics and Mathematical Modeling, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Advanced Data Structures, RSA and Quantum Algorithms

    Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Computational Thinking, Data Storage Technologies, Linear Algebra, Python Programming, Arithmetic

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    43 reviews

    Advanced · Course · 1 - 4 Weeks

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    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, Mathematical Modeling, Python Programming, Mechanics, Vibrations, Linear Algebra, Simulations

    4.8
    Rating, 4.8 out of 5 stars
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    388 reviews

    Intermediate · Course · 1 - 3 Months

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    U

    University of Minnesota

    Matrix Methods

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

    4.1
    Rating, 4.1 out of 5 stars
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    248 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Practical Quantum Computing with IBM Qiskit for Beginners

    Skills you'll gain: IBM Cloud, Cryptography, Algorithms, Python Programming, Linear Algebra, Computational Thinking, Computer Science, Jupyter, Physics, Simulations, Software Installation, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
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    9 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Data Processing, Linear Algebra, Network Architecture

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Basic Robotic Behaviors and Odometry

    Skills you'll gain: Artificial Intelligence, Automation, Simulation and Simulation Software, Mechanics, Algorithms, Control Systems, Systems Of Measurement, Simulations, Engineering, Python Programming, Applied Mathematics, Linear Algebra, Estimation

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    54 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Computer Vision, Python Programming, Machine Learning, NumPy, Performance Tuning, Linear Algebra, Calculus

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad Austral

    Introducción al Aprendizaje Profundo

    Skills you'll gain: Supervised Learning, Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Linear Algebra, Regression Analysis

    4.2
    Rating, 4.2 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    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 Manipulation, Data Processing, Data Structures, Linear Algebra, Numerical Analysis, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Orthogonality and Diagonalization

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Mathematical Modeling

    4.9
    Rating, 4.9 out of 5 stars
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    44 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Octave Programming: Analyze, Apply & Implement

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scripting Languages, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Object Oriented Programming (OOP), Data Manipulation, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

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

  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Advanced Data Structures, RSA and Quantum Algorithms: University of Colorado Boulder
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • Matrix Methods: University of Minnesota
  • Practical Quantum Computing with IBM Qiskit for Beginners: Packt
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Basic Robotic Behaviors and Odometry : University of Colorado Boulder
  • 신경망 및 딥 러닝: DeepLearning.AI
  • Introducción al Aprendizaje Profundo: Universidad Austral
  • Octave for Machine Learning: Analyze & Visualize: EDUCBA

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