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  • Interpretable Machine Learning

Results for "interpretable machine learning"


  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    New Learning: Principles and Patterns of Pedagogy

    Skills you'll gain: Pedagogy, Digital pedagogy, Education and Training, Teaching, Human Learning, Differentiated Instruction, Higher Education, Instructional Strategies, Cultural Diversity, Lifelong Learning, Willingness To Learn, Curriculum Development, Student-Centred Learning, Student Engagement

    4.8
    Rating, 4.8 out of 5 stars
    ·
    408 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Learning Experience Design: Development and Evaluation

    Skills you'll gain: Program Evaluation, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Learning Management Systems, Professional Development, Content Creation, Design Strategies, Communication, Emerging Technologies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    Learning Chinese : Start From Scratch (零到一學中文)

    Skills you'll gain: Language Learning, Vocabulary, Grammar, Language Competency, Oral Comprehension

    4.5
    Rating, 4.5 out of 5 stars
    ·
    553 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Use Wakelet to Curate Learning Collections

    Skills you'll gain: Learning Management Systems, Information Architecture, Education Software and Technology, Content Management

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    99 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Launch an auto-scaling AWS EC2 virtual machine

    Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Virtual Machines, Infrastructure As A Service (IaaS), Cloud Infrastructure, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    57 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
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    L

    LearnKartS

    Become AI-Ready: Deep Learning Fundamentals

    Skills you'll gain: Generative AI, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Learning Experience Design: Orientation to the Profession

    Skills you'll gain: Instructional Design, Learning Theory, Design, Education Software and Technology, Professional Development, Diversity Equity and Inclusion Initiatives, User Centered Design, Emerging Technologies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    82 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

1…454647…633

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

  • New Learning: Principles and Patterns of Pedagogy : University of Illinois Urbana-Champaign
  • Learning Experience Design: Development and Evaluation: University of Michigan
  • Learning Chinese : Start From Scratch (零到一學中文): National Taiwan University
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • Use Wakelet to Curate Learning Collections: Coursera
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Launch an auto-scaling AWS EC2 virtual machine: Coursera
  • Become AI-Ready: Deep Learning Fundamentals: LearnKartS
  • Statistical Learning for Engineering Part 1: Northeastern University

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