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Modern Natural Language Processing in Python

Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab
4.4
☆☆☆☆☆ 4.4/5
(1,434 reviews)
47,118 students
Created by
Martin Jocqueviel

9.1

Classbaze Grade®

9.5

Freshness

8.0

Popularity

9.1

Material

Detailed Analysis »

Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab
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Platform: Udemy
Price: check current price
Video: 5h 46m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

9.1 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.5 / 10
This course was last updated on 11/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.0 / 10
We analyzed factors such as the rating (4.4/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.1 / 10
Video Score: 8.4 / 10
The course includes 5h 46m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 30 minutes of 62 Natural Language Processing courses on Udemy.
Detail Score: 9.3 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

3 articles.
0 resource.
0 exercise.
0 test.

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About this course

  The course will teach you this
  What you need to START the course
  Who can start this course?
General questions
  Coupons & Discounts
  Guarantees & money back
  Financial aid
Teacher
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About the course

Modern Natural Language Processing course is designed for anyone who wants to grow or start a new career and gain a strong background in NLP.

Nowadays, the industry is becoming more and more in need of NLP solutions. Chatbots and online automation, language modeling, event extraction, fraud detection on huge contracts are only a few examples of what is demanded today. Learning NLP is key to bring real solutions to the present and future needs.

Throughout this course, we will leverage the huge amount of speech and text data available online, and we will explore the main 3 and most powerful NLP applications, that will give you the power to successfully approach any real-world challenge.

•First, we will dive into CNNs to create a sentimental analysis application.
•Then we will go for Transformers, replacing RNNs, to create a language translation system.

The course is user-friendly and efficient: Modern NL leverages the latest technologies—Tensorflow 2.0 and Google Colab—assuring you that you won’t have any local machine/software version/compatibility issues and that you are using the most up-to-date tools.

What can you learn from this course?

✓ Build a Transformer, new model created by Google, for any sequence to sequence task (e.g. a translator)
✓ Build a CNN specialized in NLP for any classification task (e.g. sentimental analysis)
✓ Write a custom training process for more advanced training methods in NLP
✓ Create customs layers and models in TF 2.0 for specific NLP tasks
✓ Use Google Colab and Tensorflow 2.0 for your AI implementations
✓ Pick the best model for each NLP task
✓ Understand how we get computers to give meaning to the human language
✓ Create datasets for AI from those data
✓ Clean text data
✓ Understand why and how each of those models work
✓ Understand everything about the attention mechanism, lying behind the newest and most powerful NLP algorithms

What you need to start the course?

• PC with Internet connection
• Python Programming Skills
• Recommended: Experience with TF2.0
• Recommended: Google Collab

Who is this course is made for?

• AI amateurs that are eager to learn how we process language nowadays
• AI students that need to have a deeper and wider knowledge about NLP
• Business driven people that are eager to know how NLP can be applied to their field to leverage any text data
• Anyone who wants to start a new career and get a strong background in NLP, adding efficient cases to their portfolio

Are there coupons or discounts for Modern Natural Language Processing in Python ? What is the current price?

The course costs $19.99. And currently there is a 83% discount on the original price of the course, which was $99.99. So you save $80 if you enroll the course now.
The average price is $18.3 of 62 Natural Language Processing courses. So this course is 9% more expensive than the average Natural Language Processing course on Udemy.

Will I be refunded if I'm not satisfied with the Modern Natural Language Processing in Python course?

YES, Modern Natural Language Processing in Python has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Modern Natural Language Processing in Python course, but there is a $80 discount from the original price ($99.99). So the current price is just $19.99.

Who will teach this course? Can I trust Martin Jocqueviel?

Martin Jocqueviel has created 6 courses that got 2,928 reviews which are generally positive. Martin Jocqueviel has taught 54,267 students and received a 4.5 average review out of 2,928 reviews. Depending on the information available, we think that Martin Jocqueviel is an instructor that you can trust.

Learn everything about

Martin Jocqueviel

Freelance data scientist
After graduating in Physics and Mathematics from École Polytechnique in France, I specialized in Machine Learning and Artificial Intelligence at ENS. As a Mathematician I like to grasp the full implications behind every algorithm, while as a physicist I want to consider the reality of data from a practical point of view when building an AI. I decided to combined those two aspects of science to build inspiring, intuitive and useful courses for everyone!
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9.1

Classbaze Grade®

9.5

Freshness

8.0

Popularity

9.1

Material

Detailed Analysis »

Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab
Go to course »
Platform: Udemy
Price: check current price
Video: 5h 46m
Language: English
Next start: On Demand

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