Natural Language Processing (NLP)

Natural Language Processing (NLP)
2 months
Certification paid
Course by EdX
Natural Language Processing (NLP)
What will you learn?
Apply deep learning models to solve machine translation and conversation problems.
Apply deep structured semantic models on information retrieval and natural language applications.
Apply deep reinforcement learning models on natural language applications.
Apply deep learning models on image captioning and visual question answering.
About the course

Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence.

In this course, you will be given a thorough overviewof Natural Language Processing and how to use classic machine learning methods. You will learn about Statistical Machine Translation as well as Deep Semantic Similarity Models (DSSM) and their applications.
We will also discuss deep reinforcement learning techniques applied in NLP andVision-Language Multimodal Intelligence.

edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.

Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time.

Natural Language Processing (NLP)
A thorough introduction to cutting-edge technologies applied to Natural Language Processing.
Lei Ma
Lei Ma
Senior Content Developer Microsoft
Roland Fernandez
Roland Fernandez
Senior Researcher and AI School Instructor, Deep Learning Technology Center Microsoft Research AI
Xiaodong He
Xiaodong He
Principal Researcher Microsoft
All the courses on this platform are free of charge. The authors are top universities and corporations that seek to maintain high quality standards. If you do not meet a deadline for assignments, you lose points. Like on other platforms, the videos in which the theory is explained are followed by practical assignments. Courses are available in English, Chinese, Spanish, French and Hindi.
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