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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: Preview
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    U

    University of Illinois Urbana-Champaign

    Instructional Design Foundations and Applications

    Skills you'll gain: Instructional and Curriculum Design, Needs Assessment, Instructional Design, Learning Theory, Diversity and Inclusion, Training and Development, Education and Training, Curriculum Development, Analysis

    4.1
    Rating, 4.1 out of 5 stars
    ·
    848 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Data Mining

    Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Interactive Data Visualization, Data Storytelling, Dashboard, Tableau Software, Plot (Graphics), Natural Language Processing, Scatter Plots, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Predictive Analytics, Big Data, Anomaly Detection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Specialization · 3 - 6 Months

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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, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations

    4.8
    Rating, 4.8 out of 5 stars
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    389 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.4
    Rating, 4.4 out of 5 stars
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    12 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
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    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    U

    University of Virginia

    Artificial Intelligence in Marketing

    Skills you'll gain: Marketing Strategies, Digital Transformation, AI Enablement, Marketing, Marketing Analytics, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Digital Marketing, Business Strategy, Case Studies, Competitive Analysis, Network Analysis, Customer experience improvement, Customer Engagement

    4.6
    Rating, 4.6 out of 5 stars
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    350 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    Duke University

    GenAI Basics - How LLMs Work

    Skills you'll gain: Large Language Modeling, Generative AI, Machine Learning, Applied Machine Learning, Artificial Intelligence, Data Science

    3.9
    Rating, 3.9 out of 5 stars
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    34 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Malware and Network Anomaly Detection

    Skills you'll gain: Anomaly Detection, Intrusion Detection and Prevention, Malware Protection, Cyber Threat Hunting, Threat Detection, Network Analysis, AI Security, Applied Machine Learning, Model Evaluation, Network Security, Unsupervised Learning, Performance Testing, Analysis, Classification Algorithms, Microsoft Windows

    4.6
    Rating, 4.6 out of 5 stars
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    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM IT Scrum Master

    Skills you'll gain: Software Development Life Cycle, User Story, Software Architecture, Agile Software Development, Scrum (Software Development), Sprint Retrospectives, DevOps, Kanban Principles, Software Design, Information Technology, Computer Hardware, Sprint Planning, Agile Product Development, Software Development Methodologies, Agile Methodology, Agile Project Management, Team Building, Risk Management, Leadership, Communication

    4.8
    Rating, 4.8 out of 5 stars
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    11K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize GenAI Performance: Monitor, Measure, Maintain

    Skills you'll gain: System Monitoring, Dashboard, Application Performance Management, Site Reliability Engineering, Continuous Monitoring, Event Monitoring, Performance Tuning, Performance Metric, Service Level, Generative AI, MLOps (Machine Learning Operations), Business Metrics, Analysis, Service Level Agreement, Distributed Computing, Incident Management, Real Time Data, Data Integration

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    LangGraph Framework

    Skills you'll gain: LangGraph, AI Orchestration, LangChain, LLM Application, Agentic Workflows, Generative AI Agents, MLOps (Machine Learning Operations), Context Management, Distributed Computing, Software Design Patterns

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Statistical Software, Probability & Statistics, Model Evaluation, Seaborn, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Instructional Design Foundations and Applications: University of Illinois Urbana-Champaign
  • Data Mining: University of Illinois Urbana-Champaign
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • Foundations of Neural Networks: Johns Hopkins University
  • Principal Component Analysis with NumPy: Coursera
  • Artificial Intelligence in Marketing: University of Virginia
  • GenAI Basics - How LLMs Work: Duke University
  • Advanced Malware and Network Anomaly Detection: Johns Hopkins University
  • IBM IT Scrum Master: IBM
  • Optimize GenAI Performance: Monitor, Measure, Maintain: Coursera

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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