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  • Machine Learning Interpretability

Results for "machine learning interpretability"


  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Explainable AI: Scene Classification and GradCam Visualization

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Transfer Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Responsible Innovation and Trustworthy AI

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Regulatory Compliance, Artificial Intelligence, Business Ethics, Risk Analysis, SAS (Software), Compliance Training, Data Integrity, Human Centered Design, Accountability, Analytics, Diversity and Inclusion, Information Privacy, Data Governance, Data Analysis, Data Management, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • 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, Business Analytics, Deep Learning, Machine Learning, Model Evaluation, Mortgage Loans

    4.5
    Rating, 4.5 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    681 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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Predictive Analytics: Apply, Analyze & Interpret

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Predictive Analytics, Data Analysis, Minitab, Statistical Methods, Forecasting, Business Analytics, Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Case Studies, Financial Analysis, Microsoft Excel

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Polski

    Skills you'll gain: Responsible AI, Artificial Intelligence, AI Enablement, Software Visualization, Model Evaluation, Technical Documentation, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Octave for Machine Learning: Analyze & Visualize

    Skills you'll gain: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Preprocessing, Data Manipulation, Linear Algebra, Software Installation

    Mixed · Course · 1 - 4 Weeks

1…8910…609

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

  • Machine Learning: Classification: University of Washington
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Explainable AI: Scene Classification and GradCam Visualization : Coursera
  • Responsible Innovation and Trustworthy AI : SAS
  • Follow a Machine Learning Workflow: CertNexus
  • Interpretable machine learning applications: Part 3: Coursera
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Guided Tour of Machine Learning in Finance: New York University
  • Responsible AI: Interpretability & Transparency - Deutsch: Google Cloud
  • Predictive Analytics: Apply, Analyze & Interpret: EDUCBA

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