Unlock the power of text data with our Hands-On Natural Language Processing Boot Camp, designed for experienced Python developers to master NLP techniques and build impactful chatbots and sentiment analysis systems.
Understand and apply fundamental NLP concepts and techniques.
Develop advanced text representations and sentiment analysis models.
Implement machine learning algorithms for complex NLP tasks.
Design and build functional chatbots for automated interactions.
The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP's significance in understanding and leveraging text data has never been more critical, with applications ranging from analyzing customer feedback, implementing chatbot solutions, to extracting valuable insights from large volumes of text data. The course offers an engaging blend of theoretical knowledge and practical skills, diving into key NLP areas such as text processing, sentiment analysis, topic modeling, and the application of machine learning and deep learning in NLP. Throughout the course, you'll have the opportunity to apply your newfound skills in hands-on labs, focusing on real-world tasks such as text classification, sentiment analysis, and even building your very own chatbot. This hands-on approach, paired with expert guidance and the use of innovative tools like NLTK, sklearn, and Keras, ensures an active, engaging, and valuable learning experience. By the end of the course, you'll be equipped with the ability to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. You will leave with practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems.
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Introduction to Natural Language Processing (NLP)
Text Processing and Analysis
Text Representation and Feature Extraction
Sentiment Analysis
Topic Modeling
Text Classification
Sequence-to-sequence Models and Chatbots
Optional: Capstone Project Bonus Chapter: Generative AI and NLP Bonus Chapter: Advanced Applications of NLP with GPT
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Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier
Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier