English | Size: 3.7 GB
Genre: eLearning
Overview
Natural Language Processing LiveLessons covers the fundamentals and some of the more advanced aspects of Natural Language Processing in a simple and intuitive way, empowering you to add NLP to your toolkit. Using the powerful NLTK package, it gradually moves from the basics of text representation, cleaning, topic detection, regular expressions, and sentiment analysis before moving on to the PyTorch deep learning framework to explore advanced topics such as text classification and sequence-to-sequence models. The transformer architectures underlying large language models (LLMs) like ChatGPT, Claude, and BERT are explored in depth along with some practical applications. After successfully completing these lessons you’ll be equipped with a fundamental and practical understanding of the full breadth of Natural Language Processing tools and algorithms.
Skill Level
Intermediate
Learn How To
Implement text tokenization and representation
Use one-hot encodings and bag of words
Identify relevant words by applying TF-IDF
Clean text through stemming and lemmatization techniques
Match patterns using regular expressions
Understand named entity recognition
Cluster documents and model topics using various algorithms
Conduct sentiment analysis, including handling negations and modifiers
Utilize word embeddings for capturing semantic relationships
Define GloVe
Model sequences in PyTorch with RNNs, GRUs, and LSTM networks
Transfer learning
Apply language detection
Understand and apply transformers
Use LLMs for NLP tasks
Build practical NLP applications with HuggingFace and large language models
Who Should Take This Course
Data scientists with an interest in natural language processing
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