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  • Sequence Models

Results for "sequence models"


  • S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Modèles de séquence

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Keras (Neural Network Library), Tensorflow, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • M

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Cloud Deployment, Tensorflow, Image Analysis, Data Preprocessing, Forecasting, Prototyping

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Decoding Large Language Models

    Skills you'll gain: Large Language Modeling, LLM Application, Model Deployment, AI Enablement, Transfer Learning, Prompt Engineering, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), Responsible AI, Scalability, Machine Learning, Performance Tuning, Systems Integration

    Advanced · Course · 3 - 6 Months

  • C

    Coursera

    Preparing Text for AI Models

    Skills you'll gain: Data Ethics, Data Validation, Generative AI, Data Cleansing, Data Quality, Data Preprocessing, Large Language Modeling, Text Mining, Hugging Face, Data Collection, Unstructured Data, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    196 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Infectious Disease Transmission Models for Decision-Makers

    Skills you'll gain: Health Policy, Epidemiology, Infectious Diseases, Public Health, Policy Analysis, Mathematical Modeling, Case Studies, Biostatistics, Predictive Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    641 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Working with large language models using Azure

    Skills you'll gain: Generative Model Architectures, ChatGPT, AI Security, Semantic Web, Vector Databases

    Intermediate · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    Optimizing Foundation Models

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Amazon Web Services, Agentic systems, Performance Tuning, Transfer Learning, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

1…567…260

In summary, here are 10 of our most popular sequence models courses

  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Modèles de séquence: DeepLearning.AI
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Core generative models and techniques: Microsoft
  • Decoding Large Language Models: Packt
  • Preparing Text for AI Models: Coursera
  • Customising your models with TensorFlow 2: Imperial College London
  • Infectious Disease Transmission Models for Decision-Makers: Johns Hopkins University
  • Working with large language models using Azure: Microsoft

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