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  • Interpretable Machine Learning

Results for "interpretable machine learning"


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning in the Enterprise

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, AI Workflows, Data Management, Data Governance, Tensorflow, Data Preprocessing, Data Pipelines, Machine Learning, Predictive Modeling, Model Evaluation, Cloud Computing, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

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

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

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

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

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

    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), 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

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Polski

    Skills you'll gain: Responsible AI, Data Analysis, Data Preprocessing, Artificial Intelligence, Exploratory Data Analysis, Model Evaluation, Machine Learning, Technical Documentation, Data Validation

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

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

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Exploring Artificial Intelligence Use Cases and Applications

    Skills you'll gain: Generative AI, Business Metrics, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Machine Learning Algorithms, Model Evaluation, Artificial Intelligence, Model Deployment, Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, AI Product Strategy, Business Solutions

    4.5
    Rating, 4.5 out of 5 stars
    ·
    226 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • G

    Google Cloud

    Responsible AI: Interpretability & Transparency - Deutsch

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

    Intermediate · Course · 1 - 4 Weeks

Searches related to interpretable machine learning

interpretable machine learning applications: part 3
1…456…556

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

  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Machine Learning in the Enterprise: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Responsible AI for Developers: Interpretability & Transparency - Polski: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - 繁體中文: Google Cloud
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Machine Learning, Data Science and Generative AI with Python: Packt
  • Exploring Artificial Intelligence Use Cases and Applications: Amazon Web Services

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