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Natural Language Processing with Python: The Ultimate Hands-on Guide | Build 30 Real-World NLP Applications | From Text Analysis to ChatBot Development
Disponibilidad:
En stock
En stock
Peso con empaque:
0.61 kg
0.61 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Sobre este producto
- Comprehensive Python Libraries: Explore essential libraries like NLTK, spaCy, and Hugging Face's Transformers to build robust NLP systems. Learn how to preprocess text, implement machine learning algorithms, and deploy NLP models for real-world tasks.
- Core NLP Concepts: Understand fundamental concepts such as text preprocessing, sentiment analysis, named entity recognition (NER), text classification, and text summarization.
- 30 Hands-On Projects: Build 30 real-world applications, from creating chatbots and sentiment analysis tools to implementing machine translation and speech-to-text systems. These projects will give you the practical experience needed to tackle advanced NLP challenges.
- Advanced Techniques: Dive into cutting-edge topics like transformer models, BERT, GPT, and deep learning for NLP, empowering you to create state-of-the-art solutions for text generation, question answering, and more.
- Model Deployment: Learn how to deploy NLP models with Flask and FastAPI, integrating them into web and mobile applications. Scale your models with Docker, Kubernetes, and cloud platforms.
- Real-World Applications: Work on practical projects including building customer service chatbots, real-time sentiment analysis, automated language translation, and voice recognition systems.
- Step-by-Step Guidance: Every chapter provides hands-on exercises to help you build and deploy real NLP applications. From tokenization and NER to text summarization and text classification, you’ll gain the skills to handle a wide array of NLP tasks.
- Cloud Integration: Learn how to deploy NLP models to the cloud with AWS, Google Cloud, and Azure, ensuring scalability and accessibility for large applications.
- Evaluation and Optimization: Learn how to evaluate model performance using metrics like accuracy, precision, recall, and F1-score, and optimize your models for improved results.
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U$S 30,78
55% OFF
U$S 13,99
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