Natural Language Understanding with Python: Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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Build advanced NLU systems by utilizing NLP libraries such as NLTK, SpaCy, BERT, and OpenAI; ML libraries like Keras, scikit-learn, pandas, TensorFlow, and NumPy, along with visualization libraries such as Matplotlib and Seaborn.
Purchase of the print Kindle book includes a free PDF eBook
Key Features- Master NLU concepts from basic text processing to advanced deep learning techniques
- Explore practical NLU applications like chatbots, sentiment analysis, and language translation
- Gain a deeper ...























