Data Science: Transformers for Natural Language Processing

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In this course, you will learn very practical skills for applying transformers, and if you want, detailed theory behind how transformers and attention work. ## What you’ll learn * Apply transformers to real-world tasks with just a few lines of code * Fine-tune transformers on your own datasets with transfer learning * Sentiment analysis, spam detection, text classification * NER (named entity recognition), parts-of-speech tagging * Build your own article spinner for SEO * Generate believable human-like text * Neural machine translation and text summarization * Question-answering (e.g. SQuAD) * Zero-shot classification * Understand self-attention and in-depth theory behind transformers * Implement transformers from scratch * Use transformers with both Tensorflow and PyTorch * Understand BERT, GPT, GPT-2, and GPT-3, and where to apply them * Understand encoder, decoder, and seq2seq architectures * Master the Hugging Face Python library * Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion ## Recommended Course ### Math 0-1: Probability for Data Science & Machine Learning Coupon Code [](https://click.linksynergy.com/deeplink?id=ul5nQTvb3cM&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fprobability-data-science-machine-learning%2F%3FcouponCode%3DPROBVIP3&u1=CTNS) ### [Math 0-1: Probability for Data Science & Machine Learning](https://click.linksynergy.com/deeplink?id=ul5nQTvb3cM&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fprobability-data-science-machine-learning%2F%3FcouponCode%3DPROBVIP3&u1=CTNS) $42 $119.99 [REDEEM](https://click.linksynergy.com/deeplink?id=ul5nQTvb3cM&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fprobability-data-science-machine-learning%2F%3FcouponCode%3DPROBVIP3&u1=CTNS) REDEEM COUPON A Casual Guide for Artificial Intelligence, Deep Learning, and Python Programmers [Math 0-1: Probability for Data Science & Machine Learning Course](https://coursespeak.com/probability-data-science-machine-learning/). 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Well, that could be you! ## Who this course is for: * Anyone who wants to master natural language processing (NLP) * Anyone who loves deep learning and wants to learn about the most powerful neural network (transformers) * Anyone who wants to go beyond typical beginner-only courses on Udemy ## Instructor [Lazy Programmer Team](https://www.udemy.com/user/lazy-programmer-team/) – The Lazy Programmer is a seasoned online educator with an unwavering passion for sharing knowledge. With over 10 years of experience, he has revolutionized the field of data science and machine learning by captivating audiences worldwide through his comprehensive courses and tutorials. Equipped with a multidisciplinary background, the Lazy Programmer holds a remarkable duo of master’s degrees. His first foray into academia led him to pursue computer engineering, with a specialized focus on machine learning and pattern recognition. Undeterred by boundaries, he then ventured into the realm of statistics, exploring its applications in financial engineering.