[Download] Natural Language Processing: NLP With Transformers in Python For Free
What you’ll learn
- Industry standard NLP using transformer models
- Build full-stack question-answering transformer models
- Perform sentiment analysis with transformers models in PyTorch and TensorFlow
- Advanced search technologies like Elasticsearch and Facebook AI Similarity Search (FAISS)
- Create fine-tuned transformers models for specialized use-cases
- Measure performance of language models using advanced metrics like ROUGE
- Vector building techniques like BM25 or dense passage retrievers (DPR)
- An overview of recent developments in NLP
- Understand attention and other key components of transformers
- Learn about key transformers models such as BERT
- Preprocess text data for NLP
- Named entity recognition (NER) using spaCy and transformers
- Fine-tune language classification models
Requirements
- Knowledge of Python
- Experience in data science a plus
- Experience in NLP a plus
Who this course is for:
- Aspiring data scientists and ML engineers interested in NLP
- Practitioners looking to upgrade their skills
- Developers looking to implement NLP solutions
- Data scientist
- Machine Learning Engineer
- Python Developers