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  • Machine Learning Interpretable

Results for "machine learning interpretable"


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Machine Learning with Implementation in Java

    Skills you'll gain: Data Preprocessing, Model Deployment, Apache Mahout, Java, Java Programming, Apache Spark, Classification Algorithms, Applied Machine Learning, Deep Learning, Model Evaluation, Natural Language Processing, Data Cleansing, Machine Learning, Feature Engineering, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Generative AI, Artificial Intelligence, AI Product Strategy, Machine Learning, Machine Learning Methods, Model Evaluation, Data Literacy, Artificial Neural Networks, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    57 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning for Accounting with Python

    Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Unsupervised Learning, Text Mining, Time Series Analysis and Forecasting, Pandas (Python Package), Classification Algorithms, Machine Learning, Applied Machine Learning, Supervised Learning, Predictive Modeling, Feature Engineering, Statistical Analysis, Jupyter, Regression Analysis, Data Preprocessing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    786 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Responsible AI for Developers: Interpretability & Transparency - Français: Google Cloud
  • Machine Learning with Implementation in Java: Board Infinity
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Developing Explainable AI (XAI): Duke University
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign
  • Interpretable machine learning applications: Part 3: Coursera
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Interpretable machine learning applications: Part 5: Coursera

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