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  • Machine Learning Interpretability

Results for "machine learning interpretability"


  • 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
  • U

    University of Michigan

    Decoding AI: A Deep Dive into AI Models and Predictions

    Skills you'll gain: Generative AI, Model Evaluation, AI literacy, Data Ethics, Data Analysis, Model Training, Responsible AI, Data Literacy, Discussion Facilitation, Artificial Intelligence, Big Data, Predictive Modeling, Machine Learning, Social Impact

    ★ 4.8 (26) · Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization

    ★ 4.8 (21) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • G

    Google Cloud

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

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

    Intermediate · Course · 1 - 4 Weeks

    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 for Developers: Interpretability & Transparency - 简体中文

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

    Intermediate · Course · 1 - 4 Weeks

    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
  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    ★ 4.5 (27) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Histogram, Predictive Modeling, Data Visualization, Predictive Analytics, Data Preprocessing, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Economics, Policy, and Social Studies, Development Environment, Software Engineering

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

    Category: Credit offered
    Credit offered
  • N

    National Taiwan University

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

    Skills you'll gain: Classification Algorithms, Supervised Learning, Machine Learning Methods, Model Training, Machine Learning, Machine Learning Algorithms, Logistic Regression, Data Validation, Statistical Machine Learning, Applied Machine Learning, Model Evaluation, Algorithms, Regression Analysis, Model Optimization, Verification And Validation, Feature Engineering, Data Transformation

    ★ 4.9 (331) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • S

    SkillUp

    Machine Learning for Medical Data

    Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Statistical Machine Learning, Model Training, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Electronic Medical Record System, AI Personalization, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Model Evaluation, Decision Intelligence, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Evaluating and Debugging Generative AI

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, LLM Application, Jupyter, AI Workflows, Model Training, Software Versioning

    ★ 4.7 (10) · Intermediate · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
1…789…641

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

  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Decoding AI: A Deep Dive into AI Models and Predictions: University of Michigan
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Responsible AI for Developers: Interpretability & Transparency - 繁體中文: Google Cloud
  • Machine Learning for Marketers: University of Colorado System
  • Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Interpretable machine learning applications: Part 3: Coursera
  • Interpretable machine learning applications: Part 5: Coursera
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University

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