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Results for "introduction to machine learning"

  • 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
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Introduction to Git and GitHub

    Skills you'll gain: Git (Version Control System), GitHub, Version Control, Continuous Integration, Software Versioning, Collaborative Software, Software Development Tools, Code Review, Issue Tracking, Command-Line Interface

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.9K reviews

    Beginner · 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
    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    159 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Algorithms, Arithmetic

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    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
    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
    ·
    293 reviews

    Beginner · Course · 1 - 3 Months

  • 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, Data-Driven Decision-Making, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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: Preview
    Preview
    T

    The University of North Carolina at Chapel Hill

    Introduction to Environmental Law and Policy

    Skills you'll gain: Environmental Laws, Environmental Policy, Environmental Regulations, Environmental Issue, Law, Regulation, and Compliance, Pollution Prevention, Environment and Resource Management, Risk Control, Water Quality, Water Resource Management, Legal Proceedings, Climate Change Mitigation, Case Studies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms, Performance Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Introduction to Financial Engineering and Risk Management

    Skills you'll gain: Financial Market, Securities (Finance), Derivatives, Financial Systems, Actuarial Science, Mathematical Modeling, Applied Mathematics, Financial Trading, Capital Markets, Financial Services, Securities Trading, Futures Exchange, Equities, Finance, Financial Modeling, Market Liquidity, Risk Modeling, Probability, Risk Management, Portfolio Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    299 reviews

    Intermediate · 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 Containers w/ Docker, Kubernetes & OpenShift: IBM
  • Introduction to Git and GitHub: Google
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Machine Learning Capstone: IBM
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Introduction to Classical Music: Yale University
  • Introduction to Cosmetic and Skincare Science: Olay
  • Interpretable Machine Learning: Duke University
  • Machine Learning: Classification: University of Washington
  • Introduction to Environmental Law and Policy: The University of North Carolina at Chapel Hill

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