FREE 21 DAYS Natural Language Processing MASTER CLASS with Certification By Pantech Solution | Free Masterclass | Free Webinar | Free Workshop | Free Certification | Live Webinar | Youtube Live |

 

FREE 21 DAYS Natural Language Processing MASTER CLASS - Free Online Webinar (10th April - 30th April 2024 ) | YouTube: Live | Time: 6.00PM - 6.45PM IST)

Registration form for 21 DAYS CHALLENGE ON  Natural Language Processing  MASTER CLASS
The Objective of this Webinar Series is to facilitate the participants to get cognizance of the concepts dealt with for substantial utilization of the same into studying, teaching, Research work, and Upgrading.

Title: 21-Day NLP Masterclass: Unlocking the Power of Natural Language Processing 🎉 Day 1: Introduction to NLP - Understanding the basics of Natural Language Processing - Applications and significance in various industries - Overview of tools and libraries Day 2: Fundamentals of Linguistics - Key linguistic concepts for NLP - Syntax, semantics, and pragmatics - How language is processed by machines Day 3: Preprocessing Text Data - Data cleaning techniques - Tokenization and stemming - Stopword removal and normalization Day 4: Text Representation - Bag of Words model - TF-IDF (Term Frequency-Inverse Document Frequency) - Word embeddings (Word2Vec, GloVe) Day 5: Sentiment Analysis - Understanding sentiment in text - Lexicon-based approaches - Machine learning for sentiment classification Day 6: Named Entity Recognition (NER) - Identifying entities in text - Named entity types - NER techniques and applications Day 7: Text Classification - Supervised learning for text classification - Naive Bayes, SVM, and other algorithms - Evaluation metrics for classification tasks Day 8: Sequence Labeling - Introduction to sequence labeling tasks - Hidden Markov Models (HMM) for POS tagging - Conditional Random Fields (CRF) for Named Entity Recognition Day 9: Language Modeling - Understanding language models - N-gram models - Neural language models (RNNs, LSTMs) Day 10: Neural Network Architectures for NLP - Convolutional Neural Networks (CNNs) for text classification - Recurrent Neural Networks (RNNs) for sequence processing - Transformer architecture and its variants (BERT, GPT) Day 11: Text Generation - Generating text with Markov Chains - Recurrent Neural Networks for text generation - Fine-tuning pre-trained language models for text generation tasks Day 12: Machine Translation - Overview of machine translation - Rule-based, statistical, and neural machine translation - Sequence-to-sequence models for translation Day 13: Question Answering Systems - Overview of QA systems - Retrieval-based vs. generative QA - Machine reading comprehension and its applications Day 14: Topic Modeling - Introduction to topic modeling - Latent Dirichlet Allocation (LDA) - Non-negative Matrix Factorization (NMF) Day 15: Text Summarization - Extractive vs. abstractive summarization - TextRank algorithm for extractive summarization - Sequence-to-sequence models for abstractive summarization Day 16: Named Entity Linking (NEL) - Linking named entities to knowledge bases - Entity disambiguation techniques - Applications of NEL in information retrieval Day 17: Dependency Parsing - Understanding syntactic dependencies - Dependency parsing algorithms - Applications in grammar checking and information extraction Day 18: Advanced NLP Techniques - Coreference resolution - Sentiment analysis in social media text - Aspect-based sentiment analysis Day 19: Domain-specific NLP - Challenges and techniques for domain adaptation - NLP applications in healthcare, finance, legal, etc. - Customizing pre-trained models for specific domains Day 20: Ethical Considerations in NLP - Bias and fairness in NLP systems - Privacy concerns in text data processing - Guidelines for responsible AI development in NLP Day 21: Future of NLP - Emerging trends and technologies in NLP - Challenges and opportunities - Closing remarks and next steps in your NLP journey

Certainly! Here's an additional disclaimer regarding potential changes in content:

**Disclaimer**: The content and structure of this masterclass are subject to change at the discretion of the organizers and instructors. While efforts will be made to adhere to the outlined schedule and topics, adjustments may be necessary based on participant feedback, technological advancements, or other unforeseen circumstances. Participants are encouraged to check for updates regularly and remain flexible throughout the duration of the masterclass. The organizers and instructors reserve the right to modify or substitute content as needed to ensure the quality and relevance of the learning experience.

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