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  • Sequence Models For Time Series And Natural Language Processing

Results for "sequence models for time series and natural language processing"


  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 2

    Skills you'll gain: Collaborative Software, Large Language Modeling, Data Preprocessing, Data Validation, Data Cleansing, Natural Language Processing, Verification And Validation, Transfer Learning, Data Quality, AI Workflows, Model Deployment

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    A Practical Approach to Timeseries Forecasting Using Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Embedding Models: From Architecture to Implementation

    Skills you'll gain: Embeddings, Retrieval-Augmented Generation, Large Language Modeling, Semantic Web, Vector Databases, Natural Language Processing

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Function-Calling and Data Extraction with LLMs

    Skills you'll gain: LLM Application, Tool Calling, AI Workflows, Hugging Face, Unstructured Data, SQL, Web Services, Prompt Engineering, AI Enablement, Database Management, Restful API, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Data Effectively

    Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, Data Science, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Estimation, Statistical Analysis, Sampling (Statistics)

    Intermediate · Course · 1 - 3 Months

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

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 3

    Skills you'll gain: Large Language Modeling, Model Deployment, Transfer Learning, Generative Model Architectures, Multimodal Prompts, Cloud Deployment, Vision Transformer (ViT), Model Evaluation, Reinforcement Learning, Image Analysis, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Deep Learning Models in Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    NLP – Embeddings & Text Preprocessing in Python

    Skills you'll gain: Data Preprocessing, Embeddings, Text Mining, Data Processing, Multilingualism, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Scikit Learn (Machine Learning Library), Computer Programming, Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Creating Features for Time Series Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Exploratory Data Analysis, Data Preprocessing, Unsupervised Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

1…8910…834

In summary, here are 10 of our most popular sequence models for time series and natural language processing courses

  • H2O ai Large Language Models (LLMs) - Level 2: H2O.ai
  • A Practical Approach to Timeseries Forecasting Using Python: Packt
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • RNN Architecture and Sentiment Classification: Packt
  • Embedding Models: From Architecture to Implementation: DeepLearning.AI
  • Function-Calling and Data Extraction with LLMs: DeepLearning.AI
  • Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University
  • Quick Start Guide to Large Language Models (LLMs): Unit 3: Pearson
  • Natural Language Processing - Deep Learning Models in Python: Packt
  • Natural Language Processing - Probability Models in Python: Packt

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