Fateme Akbari

Fateme is a fourth-year Ph.D. candidate specializing in Health Informatics at McMaster University, focusing on applying machine learning to detect behaviour abnormalities in sensor data streams. She is a data scientist at IBM. Fateme has published papers in renowned journals including “ACM Transactions of Computing for Healthcare” and presented her research at Mayo Clinic, and Duke Center for Health Informatics, among others. Her work contributes to advancing data-driven healthcare solutions.

Jun 9th 2025

Course Auditing

Categories

Effort

Languages

This course provides you with an overview of how to use transformer-based models for natural language processing (NLP). In this course, you will learn to apply transformer-based models for text classification, focusing on the encoder component. You’ll learn about positional encoding, word embedding, and attention mechanisms in language transformers [...]

Generative AI

AI

Artificial Intelligence

LLMs

Large Language Models

GPT

BERT

Generative Pre-trained Transformers

Bidirectional Encoder Representations from Transformers

PyTorch

Coursera Plus

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Jun 9th 2025

Course Auditing

45.00 EUR

Jun 2nd 2025

Course Auditing

Categories

Effort

Languages

This IBM course will teach you how to implement, train, and evaluate generative AI models for natural language processing (NLP). The course will help you acquire knowledge of NLP applications including document classification, language modeling, language translation, and fundamentals for building small and large language [...]

Generative AI

AI

Artificial Intelligence

NLP

Natural Language Processing

PyTorch

Word2vec

Sequence-to-Sequence Model

Coursera Plus

View more details

Jun 2nd 2025

Course Auditing