Machine Learning NLP
Tujuan Pelatihan :
The Machine Learning with Natural Language Processing (NLP) including Optical Character Recognition (OCR) course is designed to provide a comprehensive understanding of the intersection between machine learning, NLP, and OCR technologies. NLP focuses on the interaction between computers and human language, enabling machines to process, understand, and generate natural language text. OCR, on the other hand, deals with the conversion of scanned images or handwritten text into machine- readable text. This course aims to equip participants with the knowledge and skills to apply machine learning techniques to process and analyse textual data, perform language-related tasks, and implement OCR solutions for text extraction from images.
- Understand the fundamentals of NLP and its applications in various domains.
- Learn how to preprocess and clean textual data for NLP tasks.
- Explore different machine learning algorithms used in NLP.
- Gain proficiency in building and training NLP models for tasks like sentiment analysis, text classification, named entity recognition, and machine translation.
- Acquire knowledge of OCR techniques and their applications for text extraction from images.
- Learn how to integrate NLP and OCR technologies for enhanced text processing capabilities.
- Implement end-to-end NLP and OCR solutions for real-world scenarios.
- Understand the challenges and best practices in deploying NLP and OCR models in production.
- Introduction to Python and Machine Learning Basics
- Natural Language Processing (NLP) Fundamentals
- NLP Tasks and Algorithms
- Optical Character Recognition (OCR) with Python
- Integrating NLP with OCR and Deployment
- Implementation with Pattern, Behaviour and Graph