Donnerstag, 1. April 2021, 02:30 – 05:00 Uhr

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Curious about Natural Language Processing? Joins us as we take a hands-on approach to learning and using NLP!

Natural Language Processing (NLP) is revolutionizing the way we communicate, make decisions, and more! There is a huge demand for people with skills in natural language processing: The market has forecasted growth of 20% through 2024 and is expected to have a market size of 23 Billion USD.

This workshop is a perfect gateway to gaining a fundamental understanding of how to leverage natural language processing techniques in Python to analyze text and make decisions. If you have a background in Data Science, Data, Software, or Machine Learning Engineering this workshop would be a great way to either get an introduction to the field or refresh an area you have worked with in the past. It doesn’t matter if you are coming from a large or small company, startup, or even if you’re creating a custom app- NLP can help you design new products and services or better leverage the data you may already have.

Join us at Galvanize for a workshop where you’ll get introduced to the realm of NLP at a high level and immediately dive into a hands-on workshop where you’ll take raw text, perform feature engineering, and use matrix representations to compare documents to each other.

We strongly recommend that you are comfortable with using the Python programming language and have had exposure to the following:

How to Prepare:

Taught live online:

To access the online event page, go here:

About Your Instructor:

Andrew Means

I’m passionate about solving problems. I’ve leveraged this passion to explore innovative solutions to uncover new areas of opportunity that were previously unknown.

My background in software development, data engineering, and data science lets me solve these problems creatively and from different angles. From recognizing pain points and collecting data about the issue to creating a developer tool that when integrated would save thousands of engineering hours on manual processes.

I am on a mission to create beautiful experiences using a synthesis of data science, creative feature engineering, and scalable design.

To learn more about our Data Science immersive program, visit http://bit.ly/pythonDSI

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