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  • Introduction To Applied Machine Learning

Results for "introduction to applied machine learning"


  • 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
    ·
    310 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Assessment for Learning

    Skills you'll gain: Data Mining, Education Software and Technology, Program Evaluation, Analytics, Data Ethics, Data Access, Information Privacy, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    307 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning Methods, Deep Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 繁體中文

    Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Intelligence, Big Data, Cloud Infrastructure, MLOps (Machine Learning Operations), Machine Learning, Natural Language Processing, Predictive Modeling

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 日本語版

    Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Big Data, Cloud Development, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 简体中文

    Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Embedded Systems Software and Development Environments

    Skills you'll gain: Software Configuration Management, Embedded Software, Embedded Systems, Git (Version Control System), Build Tools, Software Development Tools, C (Programming Language), Development Environment, Software Design, Hardware Architecture, Cross Platform Development, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    643 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    811 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    NVIDIA

    Introduction to Networking

    Skills you'll gain: OSI Models, TCP/IP, Data Centers, Network Protocols, Network Infrastructure, Local Area Networks, General Networking, Network Architecture, Computer Networking, Network Switches, System Requirements

    4.6
    Rating, 4.6 out of 5 stars
    ·
    663 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Columbia University

    Decision Making and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Deep Learning, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability Distribution, Statistical Methods

    4.3
    Rating, 4.3 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Train Machine Learning Models

    Skills you'll gain: Jupyter, Unsupervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Regression Analysis, Machine Learning, Supervised Learning, Statistical Modeling, Feature Engineering, Forecasting, Performance Tuning, Performance Metric

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Predictive Modeling, Image Analysis, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Managing Machine Learning Projects: Duke University
  • Assessment for Learning: University of Illinois Urbana-Champaign
  • Introduction to Generative AI : Google Cloud
  • Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
  • Introduction to AI and Machine Learning on GC - 日本語版: Google Cloud
  • Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
  • Introduction to Embedded Systems Software and Development Environments: University of Colorado Boulder
  • Supervised Machine Learning: Regression: IBM
  • Introduction to Networking: NVIDIA
  • Decision Making and Reinforcement Learning: Columbia University

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