Natural Language Processing– Coursera

This is one of the best NLP Online Courses available. This course covers a wide range of Natural Language Processing topics. Sentiment analysis, summarization, dialogue state tracking, and many other features are available. By the end of this Specialization, you will have created NLP applications for question-answering and sentiment analysis, tools for translating languages and summarizing text, and even a chatbot!

This Specialization was created and taught by two NLP, machine learning, and deep learning experts. Younes Bensouda Mourri is an AI Instructor at Stanford University who also contributed to the development of the Deep Learning Specialization. ukasz kaiser is a Google Brain Staff Research Scientist and co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

Topics Covered

• Intro and text classification
• Language modeling and sequence tagging
• Vector Space Models of Semantics
• Sequence to sequence tasks
• Dialog systems

Extra Benefits

• You will get a Shareable Certificate.
• Along with that, you will build a conversational chat-bot.

Who Should Enroll?

• This course requires basic knowledge of linear algebra and probability theory, machine learning setup, and deep neural networks.

Interested to Enroll?

• If yes, then get more details here- Natural Language Processing

Provider: National Research University Higher School of Economics
Rating: 4.5/5.0
Time to Complete: 32 Hours

Enroll here: coursera.org/learn/classification-vector-spaces-in-nlp