Break into Natural Language Processing

Natural Language Processing (NLP) is an essential part of the practical application of Artificial Intelligence (AI). NLP is focused on giving machines the ability to understand and manipulate human language. As the field of AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio.

At deeplearning.ai, our mission is to make world-class AI education accessible to everyone. Created by experts from the industry and academic, our brand new NLP Specialization will equip you with foundational knowledge and hands-on training to build cutting-edge NLP systems. Enroll here.

To celebrate the launch of ‘Sequence Models’, Course 3 of the NLP Specialization (click to pre-enroll), we’ve assembled a panel of NLP experts. They will discuss some of their current projects and the importance and future of NLP and also provide practical career advice for ML practitioners.

Agenda: PDT (*subject to change)

MC: Ryan Keenan, Director of Product at deeplearning.ai

• 10:00-10:10: Event introduction
• 10:10-10:15: Opening Keynote: Łukasz Kaiser, Staff Research Scientist at Google Brain
• 10:15-10:25: Keynote Speech: Andrew Ng, Founder of deeplearning.ai
• 10:25-11:05: Panel discussion: (listed in alphabetical order by last name)
• Kenneth Church, Distinguished Scientist, Baidu USA
• Marti Hearst, Professor, School of Information and EECS Department, UC Berkeley
• Łukasz Kaiser, Staff Research Scientist at Google Brain
• Younes Bensouda Mourri, Instructor of AI at Stanford University
• Andrew Ng, Founder of deeplearning.ai

• 11:05-11:20: Q&A (Questions will be selected from deeplearning.ai's NLP learners on Slack community)
• 11:20-11:30: Mini course demo: Younes Bensouda Mourri, Instructor of AI at Stanford University
• 11:30: Event wraps-up

This is an online-only event. We will email you a YouTube Live URL two days before the event. If you register after that, please check your order confirmation email (scroll down to the bottom) for the URL.

Expected audience AI knowledge level:

Beginner, Intermediate

Course Promo Code

After the event, we will provide a limited number of promotional code for attendees who complete a post-event survey sent by deeplearning.ai. With this promo code, learners can avail 50% off the first month subscription for any deeplearning.ai course on Coursera. You can check out a full list of courses here.

About guest speakers:

Ken Church: Kenneth “Ken” Ward Church has worked on many topics in computational linguistics including: web search, language modeling, text analysis, spelling correction, word-sense disambiguation, terminology, translation, lexicography, compression, speech (recognition, synthesis & diarization), and OCR. He also worked on applications that go beyond computational linguistics such as revenue assurance and virtual integration (using screen scraping and web crawling to integrate legacy systems in billing, customer care, provisioning, maintenance, etc.). Mr. Church earned his undergraduate and graduate degrees from MIT, and has worked at AT&T, Microsoft, Hopkins and IBM. He was the president of ACL in 2012, and SIGDAT (the group that organizes EMNLP) from 1993 until 2011. He became an AT&T Fellow in 2001 and ACL Fellow in 2015. Mr. Church enjoys working with large corpora, and in the late 1980s started with newswire (1 million words per week of Associated Press). By the mid-1990s, he was working with larger datasets such as telephone call logs (1-10 billion records per month). At Microsoft, Mr. Church worked with search logs, and more recently at IBM, he had been working with logs from Siri-like speech services. Google Scholar:https://scholar.google.com/citations?user=E6aqGvYAAAAJ&hl=en

Marti Hearst: A professor at the UC Berkeley School of Information and EECS Department, Marti Heart has focussed her research interest in the following areas:

• Search Engines and their User Interfaces
• Teaching at Scale
• Information Visualization
• Computational Linguistics (Text Mining and Analysis)
• Tools for the Digital Humanities
• Social Technology (Blogs, Tags, Online Personals)
• Usability in Web Sites, Voting, Security

Łukasz Kaiser: Łukasz is the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper. He is a Staff Research Scientist at Google Brain and his work has greatly influenced the AI community.

Younes Bensouda Mourri: Younes completed his Bachelor's in Applied Mathematics and Computer Science and Master's in Statistics from Stanford University. Younes helped create 3 AI courses at Stanford - Applied Machine Learning, Deep Learning, and Teaching AI - and taught two of them for a few years. He also helped create both the Deep Learning and this NLP Specialization offered by deeplearning.ai on Coursera.

Andrew Ng: Dr. Andrew Ng, a globally recognized leader in AI, is CEO of Landing AI and General Partner at AI Fund. As the former Chief Scientist at Baidu and the founding lead of Google Brain, he led the AI transformation of two of the world’s leading technology companies. A longtime advocate of accessible education, Dr. Ng is the Co-founder Coursera, an online learning platform, and founder of deeplearning.ai, an AI education platform. Dr. Ng is also an Adjunct Professor at Stanford University’s Computer Science Department.

About NLP Specialization:

This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. In this Specialization, you’ll:

• Gain valuable expertise in a rapidly growing sector of AI by learning current NLP tools and techniques and applying them to real-world projects such as autocorrect, autocomplete, language translation, question-answering and text summarization.
• Start with the foundations and explore a variety of NLP models, such as classification and vector space, probabilistic models, sequence models, and attention models.
• Apply your skills through hands-on projects, including 16 graded programming assignments where you’ll practice building models from scratch.

By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text, and even built a chatbot!. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future.