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  • Applied Machine Learning

Applied Machine Learning Courses

Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.


Popular Applied Machine Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Predictive Analytics, Statistical Modeling, Machine Learning, Machine Learning Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning and Human Learning

    Skills you'll gain: Supervised Learning, Machine Learning, Applied Machine Learning, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Artificial Intelligence, Data Mining, Mobile Development, Human Computer Interaction, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification And Regression Tree (CART), Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability

    3.5
    Rating, 3.5 out of 5 stars
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    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free
    Free
    D

    DeepLearning.AI

    Intro to Federated Learning

    Skills you'll gain: Large Language Modeling, PyTorch (Machine Learning Library), Secure Coding, Personally Identifiable Information, Information Privacy, Distributed Computing, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Artificial Intelligence, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Supervised Learning, Machine Learning, Network Architecture

    4.5
    Rating, 4.5 out of 5 stars
    ·
    77 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Data Science, Random Forest Algorithm, Python Programming, Classification And Regression Tree (CART), NumPy, Regression Analysis, Data Analysis, Feature Engineering, Statistical Analysis, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
    ·
    86 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Data Processing, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    814 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    445 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Project Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technical Design, Technology Solutions, Systems Design, Data Collection, Data Science, Systems Architecture, Feature Engineering, System Monitoring

    4.8
    Rating, 4.8 out of 5 stars
    ·
    312 reviews

    Beginner · Course · 1 - 3 Months

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

  • Interpretable Machine Learning: Duke University
  • Machine Learning Fundamentals: Dartmouth College
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Machine Learning and Human Learning: University of Illinois Urbana-Champaign
  • Machine Learning Algorithms: Sungkyunkwan University
  • Intro to Federated Learning: DeepLearning.AI
  • Structuring Machine Learning Projects: DeepLearning.AI
  • Deep Learning with PyTorch: IBM
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Supervised Machine Learning: Regression: IBM

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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