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  • Machine Learning Interpretability

Results for "machine learning interpretability"


  • P

    Packt

    Deep Learning - Crash Course 2023

    Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms

    Beginner · Course · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Ubiquitous Learning and Instructional Technologies

    Skills you'll gain: Education Software and Technology, Digital pedagogy, Instructional Strategies, Computer Science, Interactive Design, Emerging Technologies, Collaborative Software, Artificial Intelligence, Innovation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    75 reviews

    Mixed · Course · 1 - 4 Weeks

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

    Politecnico di Milano

    Smart Teaching and Learning with AI

    Skills you'll gain: Blended Learning, Pedagogy, Large Language Modeling, Digital pedagogy, LLM Application, Instructional Design, Learning Strategies, Education Software and Technology, Interactive Learning, Educational Materials, AI Personalization, Innovation, Differentiated Instruction, Lifelong Learning, AI Enablement, Human Learning, Solution Design, Adult Learning Principles, Prompt Engineering Tools, Artificial Intelligence

    4.9
    Rating, 4.9 out of 5 stars
    ·
    886 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Support Interactive Learning with Genially

    Skills you'll gain: Interactive Learning, Education Software and Technology, End User Training and Support, Virtual Environment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    H

    H2O.ai

    H2O GPTe Learning Path

    Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, AI Enablement, Generative AI, Web Applications, Artificial Intelligence, Data Processing, Prompt Engineering, Agentic systems, Application Development, Application Programming Interface (API), Automation

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Neuronale Netze und Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Supervised Learning, Linear Algebra, Calculus

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Curriculum

    Skills you'll gain: Curriculum Development, Teaching, Education and Training, Instructional and Curriculum Design, Course Development, Instructional Strategies, Pedagogy, Student-Centred Learning, Collaboration, Learning Theory, Planning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    524 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Teacher's Social and Emotional Learning

    Skills you'll gain: Self-Awareness, Teaching, Empathy & Emotional Intelligence, Growth Mindedness, Persistence, Relationship Building

    4.7
    Rating, 4.7 out of 5 stars
    ·
    706 reviews

    Advanced · Course · 1 - 3 Months

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

  • Deep Learning - Crash Course 2023: Packt
  • Ubiquitous Learning and Instructional Technologies: University of Illinois Urbana-Champaign
  • Smart Teaching and Learning with AI: Politecnico di Milano
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Support Interactive Learning with Genially: Coursera
  • H2O GPTe Learning Path: H2O.ai
  • Fine-tune Multimodal Models with Transfer Learning: Coursera
  • Neuronale Netze und Deep Learning: DeepLearning.AI
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London

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