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  • Natural Language Processing

Results for "natural language processing"


  • Status: Free Trial
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    D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Applied Machine Learning, Dimensionality Reduction, Large Language Modeling, Text Mining, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Tensorflow, Machine Learning Methods, Logistic Regression, Feature Engineering, Keras (Neural Network Library)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    211 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Embeddings, Statistical Visualization, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Text Mining, Classification Algorithms, Markov Model, Unsupervised Learning, Data Preprocessing, Dimensionality Reduction, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Data Ethics, Responsible AI, Text Mining, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Applied Machine Learning, Data Processing, Machine Learning, Data Analysis, Data Cleansing

    3.1
    Rating, 3.1 out of 5 stars
    ·
    8 reviews

    Intermediate · Specialization · 3 - 6 Months

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  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for NLP with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Convolutional Neural Networks, Deep Learning, Natural Language Processing, Embeddings, Hugging Face, Computer Vision, Supervised Learning, Classification Algorithms, Data Preprocessing, Predictive Modeling, Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Probability & Statistics, Machine Learning Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.1K reviews

    Advanced · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Machine Learning Methods, Generative AI Agents, Generative AI, Prompt Patterns, Generative Model Architectures, Prompt Engineering Tools, AI literacy, Risking, Retrieval-Augmented Generation, LLM Application, Agentic systems, Machine Learning Algorithms, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, LLM Application, Keras (Neural Network Library), Vector Databases, Fine-tuning, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    101K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Fine-tuning, Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, LLM Application, Application Deployment, Model Training, Embeddings, Data Preprocessing

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Natural Language Processing Essentials

    Skills you'll gain: Data Preprocessing, Classification Algorithms, Applied Machine Learning, Embeddings, Machine Learning Methods, Model Evaluation, Dependency Analysis

    2.9
    Rating, 2.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Applied Machine Learning, Dimensionality Reduction, Text Mining, Statistical Machine Learning, Classification Algorithms, Logistic Regression, Feature Engineering, Probability & Statistics

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Natural Language Processing on Google Cloud

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, AI Workflows, Artificial Neural Networks, LLM Application, Generative Model Architectures, Cloud API, Feature Engineering, Model Training

    4.4
    Rating, 4.4 out of 5 stars
    ·
    540 reviews

    Advanced · Course · 1 - 3 Months

What brings you to Coursera today?

1234…69

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

  • Natural Language Processing: DeepLearning.AI
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Natural Language Processing with Real-World Projects: Packt
  • Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
  • Generative AI for NLP with PyTorch: IBM
  • Introduction to Artificial Intelligence (AI): IBM
  • IBM AI Engineering: IBM
  • IBM Generative AI Engineering: IBM
  • Introduction to Transformer Models for NLP: Pearson
  • Natural Language Processing Essentials: Edureka

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