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  • Machine Learning Interpretability

Results for "machine learning interpretability"


  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency

    Skills you'll gain: Responsible AI, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence, Model Evaluation

    ★ 4.7 (13) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis

    ★ 3.6 (25) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (59) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Model Optimization, Machine Learning Algorithms, Machine Learning Methods, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Statistical Machine Learning, Decision Tree Learning, Model Training, Machine Learning, Data Preprocessing, Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Data Processing

    ★ 4.7 (417) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Model Training, Artificial Intelligence, Deep Learning, Computer Vision, Transfer Learning, Application Development, Predictive Modeling, Model Deployment, Python Programming

    ★ 4.6 (14K) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning

    ★ 4.6 (16) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Performance Measurement

    ★ 4.3 (28) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • 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

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, Plot (Graphics), NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Model Optimization, Machine Learning Algorithms, Text Mining, Data Manipulation, Predictive Modeling, Model Training, Unsupervised Learning, Data Management

    Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado System

    Machine Learning for Marketers

    Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Data-Driven Marketing, Applied Machine Learning, Advanced Analytics, Supervised Learning, Dimensionality Reduction, Business Marketing, Predictive Modeling, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Customer experience improvement, Statistical Machine Learning, Personalized Service, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Responsible AI: Interpretability & Transparency - Deutsch

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

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • N

    Northeastern University

    Introduction to Machine Learning and Algorithmic Bias

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Machine Learning Methods, Applied Machine Learning, Model Training, AI literacy, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Data Collection, Regulatory Requirements, Business, Business Strategy, Data Transformation, Business Planning

    Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1…678…644

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

  • Responsible AI for Developers: Interpretability & Transparency: Google Cloud
  • Introduction to Machine Learning with Python: Arizona State University
  • Developing Explainable AI (XAI): Duke University
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Machine Learning for Marketers: University of Colorado System

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