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  • Machine Learning Interpretability

Results for "machine learning interpretability"


  • Status: Free Trial
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    G

    Google Cloud

    Introduction to Generative AI Learning Path

    Skills you'll gain: Responsible AI, Google Gemini, LLM Application, AI Enablement, AI Product Strategy, Stakeholder Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Intel

    Leader of Learning Experiences

    Skills you'll gain: Innovation, Lesson Planning, Education Software and Technology, Digital pedagogy, Learning Management Systems, Instructional Strategies, Pedagogy, Telecommuting, Teamwork, Collaboration, Student-Centred Learning, Student Engagement, Community Development, Instructional Design, Classroom Management, Learning Strategies, Virtual Environment, Creative Thinking, digital literacy, Artificial Intelligence

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free
    Free
    T

    The University of Edinburgh

    Learning for Sustainable Futures

    Skills you'll gain: Systems Thinking, Sustainable Development, Environmental Issue, Teaching, Social Impact, Lifelong Learning, Pedagogy, Sustainability Standards, Complex Problem Solving, Visionary, Action Oriented, Community Development, Self-Awareness, Discussion Facilitation

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Illinois Tech

    Data Analytics and Deep Learning

    Skills you'll gain: NoSQL, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Generative AI, Convolutional Neural Networks, Transfer Learning, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Data Management, Machine Learning

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    40 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification Algorithms, Machine Learning, Supervised Learning, Data Processing, Linear Algebra

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    Tsinghua University

    MOOC and Blended Learning

    Skills you'll gain: Blended Learning, Digital pedagogy, Education Software and Technology, Emerging Technologies, Digital Transformation, Innovation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    R

    Rice University

    Practical Metacognition for Learning

    Skills you'll gain: Resourcefulness, Cognitive flexibility, Adaptability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Data Preprocessing, Model Deployment, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    689 reviews

    Advanced · Course · 1 - 4 Weeks

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

    Packt

    Deep Learning, NLP, and AI Applications

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Keras (Neural Network Library), Artificial Neural Networks, Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Embeddings, Data Preprocessing, Model Evaluation

    Advanced · Course · 1 - 3 Months

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

  • Introduction to Generative AI Learning Path: Google Cloud
  • Leader of Learning Experiences: Intel
  • Learning for Sustainable Futures: The University of Edinburgh
  • Sequence Modeling, Transformers, and Transfer Learning: Packt
  • Data Analytics and Deep Learning: Illinois Tech
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • MOOC and Blended Learning: Tsinghua University
  • Practical Metacognition for Learning: Rice University
  • Statistical Learning for Data Science: University of Colorado Boulder
  • Deep Learning for Computer Vision: University of Colorado Boulder

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