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  • Machine Learning Interpretability

Results for "machine learning interpretability"


  • Status: Free Trial
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    D

    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Machine Learning, Machine Learning Methods, Model Evaluation, Artificial Neural Networks, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Applied Machine Learning, Data Access, Anomaly Detection, Statistics, Machine Learning Methods, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Data Wrangling, Machine Learning, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Machine Learning Essentials for Business and Technical Decision Makers

    Skills you'll gain: Machine Learning Methods, Decision Intelligence, Applied Machine Learning, Machine Learning, Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Feasibility Studies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Statistical Machine Learning, Predictive Modeling, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    328 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Machine Learning: an overview

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Dimensionality Reduction, Model Evaluation, Classification Algorithms, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    209 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Training, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Supervised Learning, Machine Learning Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Model Optimization, Model Training, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Apache Airflow, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Verification And Validation, Content Performance Analysis, Automation, Statistical Methods, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Analyze Multimodal AI for Business Insights

    Skills you'll gain: Data Presentation, Executive Presence, Stakeholder Engagement, Decision Support Systems, AI literacy, Business Analysis, Strategic Thinking, Analytical Skills, Data Synthesis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

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

    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Decision Intelligence, Model Evaluation, Model Optimization, Data-Driven Decision-Making, Applied Machine Learning, A/B Testing, Statistical Machine Learning, Machine Learning Methods, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Machine Learning Algorithms, Performance Analysis, Statistical Analysis, Regulatory Requirements

    Intermediate · Course · 1 - 4 Weeks

1…456…641

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

  • Developing Explainable AI (XAI): Duke University
  • Exploratory Data Analysis for Machine Learning: IBM
  • Machine Learning Essentials for Business and Technical Decision Makers: Amazon Web Services
  • Machine Learning for Data Analysis: Wesleyan University
  • Machine Learning: an overview: Politecnico di Milano
  • Machine Learning for Computer Vision: MathWorks
  • Automate, Optimize, and Monitor ML Models: Coursera
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Automate, Analyze, and Evaluate ML Experiments: Coursera
  • Analyze Multimodal AI for Business Insights: Coursera

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