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  • Nlp

Results for "nlp"


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra

    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, Generative AI, Natural Language Processing, Data Ethics, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    168 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    LLM Engineer’s Handbook

    Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Prompt Engineering, AWS SageMaker, Extract, Transform, Load, Data Pipelines, CI/CD, Supervised Learning, Application Deployment, Scalability, Performance Tuning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Business Intelligence, Content Creation, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22K 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, Dimensionality Reduction, Text Mining, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Unstructured Data, Probability & Statistics

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Data Ethics, Responsible AI, Text Mining, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Artificial Intelligence, Scikit Learn (Machine Learning Library), Time Series Analysis and Forecasting, Machine Learning, Data Analysis, Unstructured Data, Data Cleansing, Applied Machine Learning, Unified Modeling Language

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Data Wrangling, Prompt Patterns, LangChain, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Supervised Learning, Keras (Neural Network Library), Data Transformation, Feature Engineering, Flask (Web Framework), Data Analysis, Responsible AI, LLM Application, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    96K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning and NLP Basics

    Skills you'll gain: Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Natural Language Processing, Supervised Learning, Artificial Intelligence, Data Science, Data Processing, Computer Vision, Reinforcement Learning

    3.3
    Rating, 3.3 out of 5 stars
    ·
    31 reviews

    Beginner · 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, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    537 reviews

    Advanced · Course · 1 - 3 Months

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

    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API

    Intermediate · Specialization · 1 - 4 Weeks

  • C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Tensorflow, Natural Language Processing, Keras (Neural Network Library), Text Mining, Applied Machine Learning, Deep Learning, Machine Learning, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    181 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Python Programming, Text Mining, Data Science, Data Processing, Supervised Learning, Applied Machine Learning, Unstructured Data, Markov Model

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to nlp

nlp – machine learning models in python
nlp: twitter sentiment analysis
nlp modelos y algoritmos
nlp – embeddings & text preprocessing in python
nlp system architecture and dev-ops
nlp in engineering: concepts & real-world applications
gen ai foundational models for nlp & language understanding
chatgpt playground for beginners: intro to nlp ai
1234…66

In summary, here are 10 of our most popular nlp courses

  • Natural Language Processing: DeepLearning.AI
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • LLM Engineer’s Handbook: Packt
  • Introduction to Artificial Intelligence (AI): IBM
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
  • IBM Generative AI Engineering: IBM
  • Machine Learning and NLP Basics: Edureka
  • Natural Language Processing on Google Cloud: Google Cloud
  • Introduction to Transformer Models for NLP: Pearson

Skills you can learn in Software Development

Programming Language (34)
Google (25)
Computer Program (21)
Software Testing (21)
Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

Frequently Asked Questions about Nlp

Natural Language Processing (NLP) courses on Coursera equip learners with a variety of skills crucial for understanding and manipulating human language data, including:

  • Fundamentals of linguistics and how computers interpret human language
  • Techniques for text processing, sentiment analysis, and language modeling
  • Application of machine learning models to NLP tasks such as translation and speech recognition
  • Implementation of NLP solutions using popular programming libraries like NLTK and SpaCy
  • Understanding of advanced concepts in deep learning for NLP, such as transformers and BERT models
  • Ethical considerations in NLP, focusing on bias mitigation and data privacy‎

NLP courses on Coursera cater to learners with various levels of experience:

  • No prior programming or linguistic experience is required for introductory courses, which cover the basics of NLP and its applications.
  • Intermediate courses expect some familiarity with programming, ideally in Python, and cover more sophisticated techniques in NLP.
  • Advanced courses are suitable for those with a solid background in both programming and machine learning, focusing on cutting-edge NLP technologies and their implications.‎

Participating in NLP courses on Coursera can lead to a variety of credentials that demonstrate your capabilities:

  • Course certificates for each NLP course you complete, which can highlight your specific skills in language processing.
  • Professional certificates that consolidate your expertise across multiple NLP applications, proving your comprehensive knowledge.
  • Specializations or Mastertrack certificates that explore more complex NLP topics, suitable for advancing your career in data science and AI fields.‎

Proficiency in NLP can enhance your qualifications for a range of careers in technology and data analysis, including:

  • Data Scientist specializing in text and language data analysis
  • AI Engineer developing systems that understand and generate human language
  • Research Scientist in academia or industry focusing on advancing NLP technologies
  • NLP Specialist in technology firms creating more intuitive user interactions
  • Content Strategist using NLP tools to analyze and optimize digital content

These roles leverage NLP skills to develop innovative solutions that improve how we interact with technology and each other through language. ‎

Yes. You can start learning NLP skills on Coursera for free in two ways:

  • Preview the first module of many NLP courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in natural language processing, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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