Top 10 Skills for NLP Specialists

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Ben Sullins and Free the Data Academy

26:55

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01 - Skills for NLP specialists.mp4

03:06

02 - Programming.mp4

02:10

03 - Proficiency with computational libraries and frameworks.mp4

03:37

04 - Text mining and NLP techniques.mp4

02:02

05 - Algorithmic thinking and problem-solving ability.mp4

02:17

06 - Machine learning.mp4

02:14

07 - Understanding of deep neural networks.mp4

02:45

08 - Text representation techniques.mp4

01:56

09 - Statistical analysis.mp4

02:08

10 - Ability to detect patterns and anomalies.mp4

02:08

11 - Communication skills.mp4

02:00

12 - See you in the next course.mp4

00:32

Description

Are you aiming to build or pivot into a career in natural language processing (NLP)? In this course, tech consultant and lifelong data geek Ben Sullins highlights ten skills you need to have, as an NLP specialist. Ben goes over programming and proficiency with computational libraries and frameworks. He explains the importance of algorithmic thinking and problem-solving ability, as well as a sound understanding of machine learning and deep neural networks. Ben discusses text representation techniques and statistical analysis, then dives into why you need to be able to detect patterns and anomalies and use good communication skills. Plus, he guides you through text mining and some useful NLP techniques.

This course was created by Free the Data Academy. We are pleased to host this training in our library.

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Ben Sullins and Free the Data Academy

Instructor's Courses

I run Free the Data Academy which offers high-quality Data Skills training online. I've worked in data since the late 90's in nearly every role out there and in 2013 began sharing what I've learned through online courses. You can find my courses here on LinkedIn and on my own academy at FTDAcademy.com

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.