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  • Interpretable Machine Learning

Results for "interpretable machine learning"


  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Français

    Skills you'll gain: Responsible AI, Data Ethics, Model Evaluation, Artificial Intelligence, MLOps (Machine Learning Operations), Machine Learning, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 繁體中文

    Skills you'll gain: Responsible AI, Data Ethics, Applied Machine Learning, Data Analysis, Artificial Intelligence, Machine Learning, Model Deployment

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI: Interpretability & Transparency - Deutsch

    Skills you'll gain: Responsible AI, Data Analysis, Data Visualization Software, Model Evaluation, Artificial Intelligence, Machine Learning, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Polski

    Skills you'll gain: Responsible AI, Data Analysis, Data Preprocessing, Artificial Intelligence, Exploratory Data Analysis, Model Evaluation, Machine Learning, Technical Documentation, Data Validation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Data Analysis, Statistical Methods, Data Preprocessing, Machine Learning, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    284 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Machine Learning, Applied Machine Learning, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    102 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Applied Machine Learning, Regression Analysis, Classification Algorithms, Statistical Methods, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    91 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: Model Evaluation, Data Preprocessing, Workforce Management, Advanced Analytics, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

Searches related to interpretable machine learning

interpretable machine learning applications: part 3
1…91011…556

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

  • Responsible AI for Developers: Interpretability & Transparency - Français: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - 繁體中文: Google Cloud
  • Responsible AI: Interpretability & Transparency - Deutsch: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - Polski: Google Cloud
  • IBM Machine Learning: IBM
  • Microsoft Azure Machine Learning: Microsoft
  • IBM Introduction to Machine Learning: IBM
  • Developing Machine Learning Solutions: Amazon Web Services
  • Foundations of Machine Learning: Coursera
  • Machine Learning Basics: Sungkyunkwan University

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