About this Event
The offered by Oxford Training Centre under develops essential NLP skills in Python, text mining, machine learning and deep learning to support practical language processing and AI applications. This one-week in-depth training program is specially designed for all aspiring professionals and enthusiasts who want to learn the basics of NLP. The course, provided by Oxford Training Centre, gives the participant all the tools and techniques required to grasp NLP and apply it practically in reality. Whether it be text mining, machine learning, or deep learning for NLP applications, this course lays the foundation to master the art of natural language understanding. By the end of the week, participants will be able to implement projects in NLP using Python, explore state-of-the-art algorithms in NLP, and get hands-on experience in real-world applications that bring AI-powered text analysis into being. This course is going to be your stepping stone to recognized NLP Certification and excellence in AI, data science, and computational linguistics.
Objectives
- Core NLP Concepts: Learn the basics of Natural Language Processing, from basic tokenization and stemming to advanced techniques in text mining.
- NLP Algorithms and Techniques: Deep dive into essential algorithms and frameworks that are used for text analysis and natural language understanding.
- Hands-on with Python: Understand NLP with Python through practical projects to enhance your coding and analytical skills.
- Develop NLP Applications: Develop the competencies to build advanced applications, such as Sentiment Analysis, Chatbots, and Machine Translation.
- Explore Machine Learning and Deep Learning for NLP: Learn how machine learning and deep learning models are integrated for better language processing.
Target Group
This Natural Language Processing Course caters to a wide range of professionals and learners:
- Data Scientists and Machine Learning Enthusiasts: Enhance your skill set with advanced NLP techniques and algorithms.
- Software Developers: Learn how to integrate NLP applications into your projects using Python and cutting-edge frameworks.
- AI and Deep Learning Practitioners: Explore the latest trends in NLP and Deep Learning for NLP to stay ahead in your field.
- Linguists and Researchers: Deepen your understanding of computational linguistics and natural language understanding for research purposes.
- Beginners Interested in AI and NLP: Start your journey with an easy-to-follow NLP tutorial that introduces key concepts and builds foundational skills.
Course Content
Module 1: Introduction to NLP
- Definition and scope of Natural Language Processing.
- Importance and applications of NLP in AI and real-world scenarios.
- Overview of NLP algorithms and techniques.
Module 2: Text Preprocessing and Mining
- Tokenisation, stemming, and lemmatisation.
- Text mining concepts and applications.
- Exploring text datasets for insights and visualisation.
Module 3: NLP with Python
- Setting up Python environments for NLP.
- Introduction to NLTK, spaCy, and Hugging Face libraries.
- Hands-on projects in sentiment analysis and document classification.
Module 4: Machine Learning and NLP
- Supervised and unsupervised learning techniques for NLP.
- Building and fine-tuning language models.
- Practical applications: named entity recognition and text summarisation.
Module 5: Deep Learning for NLP
- Understanding neural networks and transformers.
- Implementing deep learning models for NLP tasks.
- Case study: Building a chatbot with natural language understanding.
Module 6: NLP Projects and Real-World Applications
- Developing end-to-end NLP solutions.
- Applications of NLP in healthcare, finance, and marketing.
- Final project: Designing and presenting a custom NLP application.
Event venue & nearby stays
16 Great Chapel St, London W1F 8FL, United Kingdom, 16 Great Chapel St,, London, United Kingdom
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