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  • Machine Learning Models

Results for "machine learning models"


  • Status: Free Trial
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    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Machine Learning Methods, Test Data, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, 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
    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: Preview
    Preview
    N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Algorithms, Regression Analysis, Predictive Modeling, Feature Engineering, Artificial Intelligence, Data Ethics, Statistical Methods, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 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
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Cloud Computing, Machine Learning, Data Cleansing, Python Programming, Data Transformation, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · 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

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Machine Learning Algorithms, Process Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric

    4.6
    Rating, 4.6 out of 5 stars
    ·
    296 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnQuest

    Practical Machine Learning without Coding

    Skills you'll gain: No-Code Development, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Data Ethics, Application Deployment, Business Continuity, Compliance Auditing, Performance Tuning, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    649 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • Machine Learning: Regression: University of Washington
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Machine Learning: Classification: University of Washington
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Foundations of Machine Learning : Fractal Analytics
  • Explainable Machine Learning (XAI): Duke University
  • Follow a Machine Learning Workflow: CertNexus
  • Machine Learning Introduction for Everyone: IBM
  • Practical Machine Learning without Coding: LearnQuest

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