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  • Statistical Natural Language Processing

Results for "statistical natural language processing"


  • C

    Coursera

    Building Production-Ready Apps with Large Language Models

    Skills you'll gain: Prompt Engineering, LLM Application, Model Deployment, Responsible AI, Application Deployment, Application Development, Large Language Modeling, Hugging Face, Data Ethics, Generative AI, AI Security, Application Security, Continuous Monitoring

    ★ 4 (29) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of California San Diego

    Linux Tools for Text Processing

    Skills you'll gain: grep, Linux Commands, Linux, Unix Commands, Shell Script, Unix Shell, Linux Administration, Data Processing, Text Mining, Command-Line Interface, Data Manipulation, Unix, Automation

    Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • A

    Arizona State University

    Probability, Statistical Inference and Regression Analysis

    Skills you'll gain: Statistics, Probability & Statistics, Analytics, Exploratory Data Analysis, Estimation, Logistic Regression

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Entity and Sentiment Analysis with the Natural Language API

    Skills you'll gain: Natural Language Processing, Text Mining, Google Cloud Platform, Cloud API, Unstructured Data, Network Analysis, Analysis

    ★ 4.3 (7) · Beginner · Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java Programming, Java, Data Processing, Feature Engineering, Data Import/Export, Data Cleansing, Data Quality, Model Training, Data Transformation, Data Validation, Data Integrity, Data Access, Continuous Monitoring, Apache Maven, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Model Training, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Data Preprocessing, Natural Language Processing, Predictive Modeling, Machine Learning, Unstructured Data, Data Analysis, Machine Learning Algorithms, Python Programming, Computer Science

    ★ 4.5 (17) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming

    ★ 4.4 (91) · Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    OpenAI: Consistent Response Strategies

    Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, Token Optimization, Fine-tuning, Generative AI, AI literacy

    ★ 4.8 (14) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Large Language Models with Semantic Search

    Skills you'll gain: LLM Application, Large Language Modeling, Retrieval-Augmented Generation, Embeddings

    ★ 3.8 (6) · Beginner · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • E

    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Generative Model Architectures, Machine Learning

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1…789…717

In summary, here are 10 of our most popular statistical natural language processing courses

  • Building Production-Ready Apps with Large Language Models: Coursera
  • Linux Tools for Text Processing: University of California San Diego
  • Probability, Statistical Inference and Regression Analysis: Arizona State University
  • Entity and Sentiment Analysis with the Natural Language API: Google Cloud
  • Parse & Normalize Data for ML Pipelines: Coursera
  • Sequence Modeling, Transformers, and Transfer Learning: Packt
  • Naive Bayes 101: Resume Selection with Machine Learning: Coursera
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • OpenAI: Consistent Response Strategies: Coursera
  • Large Language Models with Semantic Search: DeepLearning.AI

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