Applied Information Extraction in Python
Applied Information Extraction in Python
This course is part of More Applied Data Science with Python Specialization
Instructor: VG Vinod Vydiswaran
Access provided by Nodarbinātības valsts aģentūra
Advanced level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Develop skills to process and interpret information presented in free-text data.
Identify the major classes of named entity recognition (NER) and implement, with guidance, state-of-the-art machine learning techniques for NER.
Compare, contrast, and select between multiple machine learning and deep learning approaches for NER.
Explore Large Language Models and configure a Transformer-based pipeline to extract entities of interest from a text dataset.
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the More Applied Data Science with Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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