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  • Interpretable Machine Learning

Results for "interpretable machine learning"


  • 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
    ·
    80 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Applied Machine Learning, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Artificial Neural Networks, Image Analysis, Artificial Intelligence, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • 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

  • O

    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    z/Architecture Assembler Language Pt 2: Machine Instructions

    Skills you'll gain: z/OS, Computer Architecture, Mainframe Computing, System Programming, Computer Programming, Computational Logic, Data Storage, Job Control Language (JCL)

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Utilizing Engaging Assessment with Boom Learning

    Skills you'll gain: Education Software and Technology, Digital pedagogy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    11 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Developing Relationships

    Skills you'll gain: Diversity Awareness, Parent Communication, Cultural Diversity, Relationship Building, Working With Children, Classroom Management, Teaching, Community Outreach, Student Engagement, Ethical Standards And Conduct

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

  • 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

Searches related to interpretable machine learning

interpretable machine learning applications:
interpretable machine learning applications: part 1
1…454647…612

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

  • Learning Experience Design: Orientation to the Profession: University of Michigan
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • Launch an auto-scaling AWS EC2 virtual machine: Coursera
  • Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • z/Architecture Assembler Language Pt 2: Machine Instructions: IBM
  • Utilizing Engaging Assessment with Boom Learning: Coursera
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • Statistical Learning for Engineering Part 2: Northeastern University

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