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  • Interpretable Machine Learning

Results for "interpretable machine learning"


  • S

    Simplilearn

    Q Learning in Reinforcement Training Basics

    Skills you'll gain: Reinforcement Learning, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • 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

  • O

    O.P. Jindal Global University

    Unsupervised Learning and Its Applications in Marketing

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms

    Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Foundations for Active Learning in STEM Courses

    Skills you'll gain: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Blended Learning, Drive Engagement, Classroom Management, Mathematics Education, Creative Problem-Solving, Professional Development, Problem Solving, Project Design, Overcoming Obstacles, Active Listening

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • P

    Packt

    Deep Learning - Recurrent Neural Networks with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Technical Analysis, Data Preprocessing, Supervised Learning, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    Creating a Team Culture of Continuous Learning

    Skills you'll gain: Team Performance Management, Systems Thinking, Cognitive flexibility, Team Building, Knowledge Transfer, Innovation, Organizational Development, Organizational Effectiveness, Creative Thinking, Problem Solving, Adaptability, Decision Making, Culture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    195 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Using Generative AI for Learning Design Activities

    Skills you'll gain: Generative AI, Prompt Engineering, Ideation, Instructional Design, Brainstorming, Design Strategies, Content Creation, Persona Development, Professional Development, digital literacy

    4.9
    Rating, 4.9 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Being a Teacher

    Skills you'll gain: Pedagogy, Communication Strategies, Teaching, Instructional Strategies, Classroom Management, Student Engagement, Professional Development, Self-Awareness, Cultural Diversity

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Foundations of Deep Learning and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Network Architecture, Artificial Intelligence, Network Model, Machine Learning, Classification Algorithms, Data Processing

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Deep Learning RNN & LSTM: Stock Price Prediction

    Skills you'll gain: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Mixed · Course · 1 - 4 Weeks

Searches related to interpretable machine learning

interpretable machine learning applications:
interpretable machine learning applications: part 1
1…464748…612

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

  • Q Learning in Reinforcement Training Basics: Simplilearn
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Foundations for Active Learning in STEM Courses: Johns Hopkins University
  • Deep Learning with Keras and Practical Applications: Packt
  • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
  • Creating a Team Culture of Continuous Learning: University of Pennsylvania
  • Using Generative AI for Learning Design Activities : University of Michigan
  • Foundations of Teaching for Learning: Being a Teacher: Commonwealth Education Trust
  • Deep Learning: Recurrent Neural Networks with Python: Packt

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