Natural Language Understanding with Python: Combine natural language technology,

<p><strong>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. </strong></p><p><strong>&#65279;Purchase of the print Kindle book includes a free PDF eBook</strong></p><p><br></p><p><strong>Key Features: </strong></p><ul><li>Master NLU concepts from basic text processing to advanced deep learning techniques</li><li>Explore practical NLU applications like chatbots, sentiment analysis, and language translation</li><li>Gain a deeper understanding of large language models like ChatGPT</li></ul><p><br></p><p><strong>Book Description: </strong></p><p>Natural language understanding (NLU) organizes and structures, language allowing computer systems to effectively process textual information for many different practical applications. Natural Language Understanding with Python will help you explore practical techniques that make use of NLU to build a wide variety of creative and useful applications.</p><p>Complete with step-by-step explanations of essential concepts and practical examples, this book begins by teaching you about NLU and its applications. You'll then explore a wide range of current NLU techniques and their most appropriate use-case. In the process, you'll be introduced to the most useful Python NLU libraries. Not only will you learn the basics of NLU, you'll also be introduced to practical issues