Building NLP Pipelines with spaCy

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Prateek Sawhney

1:00:33

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01 - Introduction

01 - Why use spaCy.mp4

00:43

02 - Prerequisites of the course.mp4

00:52

03 - How to install spaCy.mp4

01:56

02 - 1. Text Processing with spaCy

01 - Introduction to spaCy.mp4

02:58

02 - spaCys statistical models.mp4

03:26

03 - spaCys containers.mp4

02:03

04 - Introduction to matching based on rules.mp4

03:06

05 - Challenge Predicting linguistic annotations.mp4

01:00

06 - Solution Predicting linguistic annotations.mp4

01:16

03 - 2. Data Analysis Using spaCy

01 - spaCys data structures.mp4

04:38

02 - Similarity and word vectors.mp4

03:34

03 - Integrating spaCys models and rules.mp4

02:53

04 - Challenge Phrase matching.mp4

01:07

05 - Solution Phrase matching.mp4

01:03

04 - 3. Processing Pipelines with spaCy

01 - Processing pipelines.mp4

02:03

02 - Pipelines custom components.mp4

03:09

03 - Extension attributes Part 1.mp4

02:49

04 - Extension attributes Part 2.mp4

03:03

05 - Performance and scaling.mp4

02:54

06 - Challenge Processing streams and selective processing.mp4

00:53

07 - Solution Processing streams and selective processing.mp4

01:19

05 - 4. Training an Artificial Neural Network

01 - Training and updating models.mp4

04:41

02 - Training loop.mp4

03:25

03 - Challenge Building a training loop.mp4

00:58

04 - Solution Building a training loop.mp4

01:15

05 - Training loop best practices.mp4

01:18

06 - Challenge Training multiple labels.mp4

00:35

07 - Solution Training multiple labels.mp4

00:42

06 - Conclusion

01 - Wrap-up.mp4

00:54

Description

Are you looking to learn more about the key features and functionalities built into spaCy? Look no further. It’s time to get up to speed with using the extensive spaCy library to solve complex natural language processing tasks. Join instructor Prateek Sawhney in this advanced skills development course, as he demonstrates business-critical approaches and techniques to solving problems in rule-based AI and machine learning.

Learn the basics of how to leverage the complex and advanced spaCy library to address real-world technical problems. From text processing to data analysis, processing pipelines, and training an artificial neural network, Prateek helps you get up and running quickly with results-driven problem-solving tasks. Along the way, you can test out your new skills in the exercise challenges at the end of each section.

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Artificial Intelligence

Prateek Sawhney

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