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  • Computer Vision Machine Learning

Results for "computer vision machine learning"


  • Status: Preview
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    G

    Georgia Institute of Technology

    Machine Design Part I

    Skills you'll gain: Failure Analysis, Mechanical Design, Structural Analysis, Materials science, Engineering Analysis, Engineering Design Process, Mechanics, Biomedical Engineering, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.2K reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Jetson Nano Starter to Pro - A Computer Vision Course

    Skills you'll gain: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Artificial Intelligence, Transfer Learning, System Configuration, Deep Learning, Real Time Data, Performance Tuning, Model Deployment, Software Installation, Application Deployment

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    833 reviews

    Intermediate · Course · 1 - 3 Months

  • 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, Decision Support Systems, Simulations, Probability Distribution, Statistical Methods

    4.3
    Rating, 4.3 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    458 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Supervised Learning, Data Validation, Data Cleansing, Data Ethics, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    357 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Fundamentals of Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    104 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    4.5
    Rating, 4.5 out of 5 stars
    ·
    93 reviews

    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, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    YOLO-NAS + v8 Full-Stack Computer Vision Course

    Skills you'll gain: Computer Vision, Mobile Development, Model Deployment, PyTorch (Machine Learning Library), Application Development, Tensorflow, Transfer Learning, Application Deployment, Data Preprocessing, Model Evaluation, User Interface (UI), Development Environment, Real Time Data, User Interface (UI) Design

    Intermediate · Course · 1 - 3 Months

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

  • Machine Design Part I: Georgia Institute of Technology
  • Jetson Nano Starter to Pro - A Computer Vision Course: Packt
  • Supervised Machine Learning: Regression: IBM
  • Decision Making and Reinforcement Learning: Columbia University
  • Supervised Machine Learning: Classification: IBM
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • Managing Machine Learning Projects: Duke University
  • Fundamentals of Machine Learning: Packt
  • SAS Machine Learning Engineer: SAS
  • Deep Learning with PyTorch: IBM

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