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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • Status: Preview
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    Y

    Yale University

    Introduction to Classical Music

    Skills you'll gain: Classical Music, Music History, Music, Music Theory, Instrumental Music, Musical Composition, Art History

    4.9
    Rating, 4.9 out of 5 stars
    ·
    4.1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Cloud Computing

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Computing, Cloud Solutions, Cloud Development, Cloud Storage, Emerging Technologies, Cloud-Native Computing, Cloud Management, Hybrid Cloud Computing, IBM Cloud, Virtual Machines, Serverless Computing, Technical Services, DevOps

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Containers w/ Docker, Kubernetes & OpenShift

    Skills you'll gain: Istio, Kubernetes, Cloud-Native Computing, Containerization, OpenShift, Docker (Software), CI/CD, DevOps, Application Deployment, Command-Line Interface, Scalability, Microservices, YAML

    4.4
    Rating, 4.4 out of 5 stars
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    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    179 reviews

    Advanced · Course · 1 - 3 Months

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    D

    Duke University

    Introduction to Genetics and Evolution

    Skills you'll gain: Molecular Biology, Biology, Biostatistics, Biotechnology, Environmental Science, Scientific Methods, Mathematical Modeling

    4.8
    Rating, 4.8 out of 5 stars
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    1.8K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Introduction

    Skills you'll gain: Creative Thinking, Classroom Management, Teaching, Adaptability, Education and Training, Working With Children, Instructional Strategies, Adult Education, Student Engagement, Professional Development, Collaboration, Curriculum Development, Planning

    4.6
    Rating, 4.6 out of 5 stars
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    848 reviews

    Mixed · Course · 1 - 4 Weeks

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    M

    McMaster University

    Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential

    Skills you'll gain: Lifelong Learning, Willingness To Learn, Learning Strategies, Growth Mindedness, Mentorship, Adaptability, Professional Development, Personal Development, Productivity, Open Mindset, Resilience, Stress Management, Overcoming Obstacles, Curiosity, Cognitive flexibility

    4.8
    Rating, 4.8 out of 5 stars
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    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
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    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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 Washington

    Machine Learning: Classification

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Risking, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

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

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    O

    Olay

    Introduction to Cosmetic and Skincare Science

    Skills you'll gain: Product Testing, Safety Standards, Personal Care, Chemistry, Microbiology, Biology, Materials science, Sustainability Standards, Product Development, Regulatory Compliance

    4.7
    Rating, 4.7 out of 5 stars
    ·
    311 reviews

    Beginner · Course · 1 - 3 Months

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1…222324…834

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

  • Introduction to Classical Music: Yale University
  • Introduction to Cloud Computing: IBM
  • Practical Machine Learning: Johns Hopkins University
  • Introduction to Containers w/ Docker, Kubernetes & OpenShift: IBM
  • Machine Learning Capstone: IBM
  • Introduction to Genetics and Evolution: Duke University
  • Foundations of Teaching for Learning: Introduction: Commonwealth Education Trust
  • Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential: McMaster University
  • Interpretable Machine Learning: Duke University
  • Fundamentals of Reinforcement Learning: University of Alberta

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