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  • Explainable Machine Learning Models

Results for "explainable machine learning models"


  • G

    Google Cloud

    Work with Gemini Models in BigQuery - Deutsch

    Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, SQL, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Predictive Modeling, Customer Relationship Management

    Intermediate · Course · 1 - 4 Weeks

  • M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • T

    The University of Chicago

    Global Warming II: Create Your Own Models in Python

    Skills you'll gain: Climate Change Programs, Mathematical Modeling, NumPy, Physical Science, Simulation and Simulation Software, Environmental Science, Scientific Visualization, Matplotlib, Simulations, Numerical Analysis, Differential Equations, Mechanics

    4.2
    Rating, 4.2 out of 5 stars
    ·
    57 reviews

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Train Large Language Models Faster - Parallelism Deep Dive

    Skills you'll gain: Generative AI

    Intermediate · Course · 3 - 6 Months

  • G

    Google Cloud

    Work with Gemini Models in BigQuery - 한국어

    Skills you'll gain: Google Gemini, Generative AI, Customer Relationship Management, Workflow Management, Big Data, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), SQL, Predictive Modeling, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • 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, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • W

    Whizlabs

    Azure AI & ML: Optimize Language Models for AI Applications

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, AI Workflows, Data Pipelines, Continuous Monitoring, Performance Tuning, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • 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

  • G

    Google Cloud

    Deploy and Scale AI Models with Cloud Run

    Skills you'll gain: Google Cloud Platform, Model Deployment, Serverless Computing, Cloud Deployment, Generative AI, MLOps (Machine Learning Operations), Containerization, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Keras Deep Learning Projects with TensorFlow

    Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib

    Beginner · Specialization · 1 - 3 Months

1…636465…714

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

  • Work with Gemini Models in BigQuery - Deutsch: Google Cloud
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • Global Warming II: Create Your Own Models in Python: The University of Chicago
  • Train Large Language Models Faster - Parallelism Deep Dive: Packt
  • Work with Gemini Models in BigQuery - 한국어: Google Cloud
  • Learning Experience Design: Orientation to the Profession: University of Michigan
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Statistical Learning for Engineering Part 1: Northeastern University

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