Data Science: Transformers for Natural Language Processing from Udemy

Overview

If you’re interested in mastering Transformers for Natural Language Processing, you’re going to love this course. It’s jam-packed with practical skills and detailed theory on how transformers and attention work. The course is neatly divided into three major parts: Using Transformers, Fine-Tuning Transformers, and Transformers In-Depth.

In the first part, you’ll learn to use pre-trained models for a variety of tasks, like text classification, named entity recognition, text summarization, and more. The second part will teach you how to fine-tune transformers on your own custom datasets. You’ll see that with a little work and cost, you can significantly enhance their performance. Finally, in the third part, you’ll dive deeply into the inner workings of transformers. You’ll examine encoders, decoders, BERT, GPT, and how to implement transformers from scratch. With a strong understanding of these models, you’ll be in a great position to command higher salaries and prestigious titles in the competitive field of machine learning. Don’t miss this amazing opportunity to elevate your skills and career!

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Skills you’ll learn

1. Text classification (e.g. spam detection, sentiment analysis, document categorization)
2. Named entity recognition
3. Text summarization
4. Machine translation
5. Question-answering
6. Generating believable text
7. Masked language modeling (article spinning)
8. Zero-shot classification

Summary

Dive into the fascinating world of Data Science with the highly engaging and comprehensive course, “Transformers for Natural Language Processing,” masterfully crafted by the renowned Lazy Programmer Team at Lazy Programmer Inc. Consisting of 132 captivating lessons, this course has already garnered the interest of over 3,663 eager students, boasting an impressive 4.8 out of 5-star rating. Don’t miss the opportunity to join this thriving community of learners and elevate your data science skills to new heights.