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  • Interpretable Machine Learning

Results for "interpretable+machine+learning"


  • 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
  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Polski

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

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Mathematical Modeling, Machine Learning, Data Visualization, Python Programming, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives

    ★ 4.8 (955) · Intermediate · Course · 1 - 4 Weeks

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

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 日本語版

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

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms

    ★ 4.5 (98) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    ★ 4.9 (32K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    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
  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 简体中文

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

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Français

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

    Intermediate · Course · 1 - 4 Weeks

    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
  • 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
  • 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
1…567…9

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

  • Developing Explainable AI (XAI): Duke University
  • Responsible AI for Developers: Interpretability & Transparency - Polski: Google Cloud
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Responsible AI for Developers: Interpretability & Transparency - 繁體中文: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - Français: Google Cloud
  • Responsible AI: Interpretability & Transparency - Deutsch: Google Cloud

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