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Ultimate Natural Language Processing with spaCy and Hugging Face

Category : Other
Type: E-Books
Language: English
Total Size: 26.5 MB
Uploaded By: FlexiStore
Downloads: 134
Last checked: Oct. 16th '25
Date uploaded: Oct. 16th '25
Seeders: 30
Leechers: 1
INFO HASH: 6F0C21A3DFCE38800270A95B126F83517511D5AD

About Ultimate Natural Language Processing with spaCy and Hugging Face

Overview

Your One-stop Destination to Learn NLP Theory and Build Real-life Use Cases and Projects! Book Description Natural Language Processing (NLP) is at the core of modern AI, powering everything from chatbots to recommendation systems. “Ultimate Natural Language Processing with spaCy and Hugging Face” is a practical guide that takes you from essential NLP foundations to advanced transformer models and large language applications, equipping you to build real-world AI projects with confidence. You begi

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The total size of Ultimate Natural Language Processing with spaCy and Hugging Face is 26.5 MB.

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Your One-stop Destination to Learn NLP Theory and Build Real-life Use Cases and Projects!

Book Description
Natural Language Processing (NLP) is at the core of modern AI, powering everything from chatbots to recommendation systems. “Ultimate Natural Language Processing with spaCy and Hugging Face” is a practical guide that takes you from essential NLP foundations to advanced transformer models and large language applications, equipping you to build real-world AI projects with confidence.

You begin with the fundamentals—tokenization, lemmatization, Bag-of-Words, TF-IDF, embeddings, POS tagging, and Named Entity Recognition—and apply them to practical use cases such as sentiment analysis, topic classification, and text classification.

The book then moves into Deep Learning for NLP with hands-on coding of CNNs, RNNs, and LSTMs, progressing from theory to applied projects. spaCy is explored in depth, with guidance on building and customizing pipelines for NER, POS tagging, and sentiment analysis. Real-world projects, including extracting dates and events from news articles, ensure that every concept connects to practical applications.