Natural Language Processing Specialization– Coursera

Natural Language Processing Specialization– Coursera ranks first in the list of best online natural language processing courses. Natural Language Processing (NLP) is a linguistic, computer science, and artificial intelligence subfield that employs algorithms to interpret and manipulate human language. This technology is one of the most widely used areas of machine learning and is essential for effectively analyzing massive amounts of unstructured, text-heavy data. As AI grows in popularity, so will the demand for professionals who can create models that analyze speech and language, uncover contextual patterns, and generate insights from text and audio.

By the end of this Specialization, you will be able to create NLP applications for question-answering and sentiment analysis, tools for translating languages and summarizing text, and even chatbots. These and other NLP applications will be at the forefront of the upcoming shift to an AI-powered future.

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.

Courses Details:

• Natural Language Processing with Classification and Vector Spaces
• Natural Language Processing with Probabilistic Models
• Natural Language Processing with Sequence Models
• Natural Language Processing with Consideration Models

Extra Benefits:

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with this, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback,
• Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who have a working knowledge of machine learning, intermediate Python including experience with a deep learning framework such as TensorFlow and Keras.
• Along with this, you should have knowledge of calculus, linear algebra, and statistics.

Interested to Enroll?

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