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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Data Science

    Skills you'll gain: Data Ethics, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Business Analytics, Data Storytelling, Data Science, Communication, Stakeholder Communications, Workflow Management, Project Management, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub

    3.7
    Rating, 3.7 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Harnessing AI for Injury Prevention and Recovery in Football

    Skills you'll gain: AI Enablement, Exercise Science, Kinesiology, Decision Support Systems, Predictive Modeling, Health Technology, Biomedical Engineering, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    53 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S
    I

    Multiple educators

    Generative AI for Growth Marketing

    Skills you'll gain: Prompt Patterns, MarTech, Strategic Marketing, AI Enablement, Personalized Service, Data Ethics, Customer Relationship Management (CRM) Software, Artificial Intelligence, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Responsible AI, AI Workflows, Deep Learning, Content Creation, Machine Learning, Image Analysis, Context Management, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    685 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Product Owners

    Skills you'll gain: Prompt Engineering, AI Product Strategy, Prompt Patterns, ChatGPT, Responsible AI, Generative AI, Google Gemini, Product Management, AI Enablement, Artificial Intelligence, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Machine Learning, Stakeholder Engagement, Context Management, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, Predictive Analytics, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    831 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Generative AI, Artificial Intelligence, AI Product Strategy, Machine Learning, Model Evaluation, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    C

    Coursera

    Engineer Features and Evaluate Models for Production

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Big Data, Applied Machine Learning, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Deep Learning, Model Evaluation, Algorithms, Data Analysis, Process Improvement and Optimization, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    947 reviews

    Mixed · Course · 1 - 3 Months

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1…217218219…834

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

  • Foundations of Data Science: Google
  • A Crash Course in Data Science: Johns Hopkins University
  • MLOps Tools: MLflow and Hugging Face: Duke University
  • Harnessing AI for Injury Prevention and Recovery in Football: Real Madrid Graduate School Universidad Europea
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Generative AI for Growth Marketing: Starweaver
  • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
  • Generative AI for Product Owners: IBM
  • Recommender Systems: University of Minnesota
  • Developing Explainable AI (XAI): Duke University

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