Skip to content
CourseAsk.
Modern Natural Language Processing
Coursera MOOC / Non-credit 0

Modern Natural Language Processing

About this course

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. This comprehensive specialization covers modern Natural Language Processing (NLP) techniques, combining deep learning models and probability-based approaches. You will start by mastering neural networks, focusing on their role in NLP. Learn to implement text classification using TensorFlow and explore advanced models like convolutional and recurrent neural networks (RNNs). As the specialization progresses, you’ll apply these models to real-world NLP tasks like Named Entity Recognition (NER) and Parts-of-Speech (POS) tagging. The specialization then dives into NLP using probability models in Python, introducing Markov models and their applications in text classification, article spinning, and cipher decryption. Through hands-on coding exercises, you’ll apply these models to tackle real-world challenges. Ideal for learners with basic programming knowledge who want to master NLP techniques using deep learning and probability models. By the end of the specialization, you will be able to implement deep learning models for NLP tasks, apply probability models, build NLP applications using Transformers, & solve advanced NLP problems.

B

68/100

CourseAsk score

What the provider tells you
32/45
Who stands behind it
20/35
How complete the listing is
16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

  • implement neural networks for NLP tasks
  • perform text classification with TensorFlow
  • apply convolutional and recurrent neural networks
  • execute Named Entity Recognition and Parts-of-Speech tagging
  • utilize Markov models for various applications
Machine Learning #deep learning #python #machine learning #nlp #transformers #neural networks #tensorflow #text classification #real-world applications #coding exercises #named entity recognition #convolutional networks #recurrent networks #parts-of-speech tagging #markov models
$49.00

Price shown by Coursera — confirm on their site.

Enroll on Coursera

You'll be redirected to Coursera to complete enrollment.

  • Listed & compared by CourseAsk
  • English · 0

Compared on these lists

Where this course ranks against the alternatives.