Asma Amehraye Fillatre
MasterCamp©
Deep Learning for Natural Language Processing Engineering
DESCRIPTION
This MasterCamp© is designed to provide an in-depth understanding of deep learning techniques for natural language processing (NLP). The course will cover various aspects of NLP, such as text classification, sentiment analysis, named entity recognition, and machine translation.
REQUIREMENTS
- To enroll in this MasterCamp© , you must have a basic understanding of machine learning and NLP. A bachelor’s degree in computer science, data science, or a related field is preferred but not required.
WHO IS THIS COURSE FOR
This MasterCamp© is ideal for professionals in data science, artificial intelligence, software engineering, and NLP. It is also suitable for students interested in pursuing a career in these fields.
THIS COURSE INCLUDES
- The MasterCamp© includes video lectures, hands-on coding exercises, projects, and assignments to help you develop practical skills and apply theoretical knowledge. You will also have access to a community of fellow learners, as well as feedback and guidance from experienced instructors. Upon completion of the MasterCamp©, you will receive a certificate of achievement.
WHAT YOU WILL LEARN
- By the end of this MasterCamp©, you will have a comprehensive understanding of deep learning techniques for NLP, including how to design and train deep neural networks for text analysis tasks. You will also learn about the latest research in the field and how to implement state-of-the-art models.
SKILLS YOU WILL GAIN:
- Through this MasterCamp©, you will gain various skills, including natural language processing, deep learning, Python programming, data preprocessing, and model evaluation. You will also learn how to work with popular NLP libraries, such as TensorFlow, Keras, and PyTorch.
My Story
Dr. Asma Fillatre is a data scientist and researcher with expertise in advanced analytics, artificial intelligence, and machine learning. She has experience in various fields, including natural language processing, image classification, customer churn prediction, and customer lifetime value prediction.
Dr. Fillatre has worked at Amadeus, a travel technology company, for over six years, where she led various analytics projects to understand customer profiles and generate business opportunities. She collaborated with R&D teams to enhance Amadeus products with machine learning and data science stacks. She also analyzed business requirements from customers via Requests for Proposal and customer workshops and presented solutions to IT and business people.
She has also worked as a part-time lecturer at Polytech Nice Sophia, where she taught natural language processing with deep learning. Previously, she worked as a scientist researcher at EURECOM and was involved in the ALIAS project, where she developed a speaker recognition and diarization system and new voice activity detector for a mobile robot system that interacts with elderly users.
Dr. Fillatre holds a Ph.D. in signal processing and machine learning from Institut Mines Telecom. She is proficient in programming languages like Python, R, and MATLAB and has expertise in data visualization tools like Tableau.
Where I’ve Worked
2022 - Now
Lecturer - Polytech Nice Sophia (France)
2016 - Now
Principal Data Scientist - Amadeus (France)
2012-2014
Scientist Researcher - EURECOM (France)
2009-2012
Associate Professor - EFREI (France)
Skills you will gain
Data sciences and AI
- Data Science
- Deep Learning
- Machine Learning
- Big Data
- Data Mining
- Github
- Python Programming
- Jupyter notebooks
- Rstudio
- Methodology
- CRISP-DM
- Data Analysis
