Speaker

Taha Bouhsine

Taha Bouhsine

Jack of all trades, master of Deep Learning

Glassboro, New Jersey, United States

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I have always been captivated by the beauty and power of computers, driven by a deep desire to understand, contribute to, and innovate within this field. To pursue this passion, I embarked on a journey of self-education, mastering the basics of computer science through online courses and books. Despite the initial challenge of not being a native English speaker, I persevered and successfully earned a Bachelor of Science in Mathematics and Computer Science from the University of Ibn Zohr, Faculty of Science in Agadir.

Building on this foundation, in July 2022, I graduated with a Master of Research in Data Science and Artificial Intelligence, focusing on Computer Vision, Signal Processing, and Natural Language Processing. In January 2023, I was honored with the Rowan Research Fellowship Award, which enabled me to attend the Henry M. Rowan College of Engineering to complete a Master of Science in Electrical and Computer Engineering. During this time, I also collaborated with the Federal Aviation Administration on projects aimed at enhancing aviation safety through advanced machine learning algorithms and multimodal deep learning.

In addition to my academic achievements, I am a Kaggle Notebook Expert and a recognized public speaker in the field of Machine Learning. My professional experience spans a wide range of tasks in software engineering and electrical engineering, with a specialization in Deep Learning. I focus particularly on Multimodal Deep Learning, Representation Learning, and Continual Learning, striving to remain a versatile and well-rounded contributor to the field.

Area of Expertise

  • Information & Communications Technology

Topics

  • Machine Learning
  • Deep Learning
  • TensorFlow
  • reinforcement learning
  • JAX
  • Flax
  • Artificial Intelligence

ال-ML بيع و مقال: Creating AI First Valuable Products for the Moroccan Market

The field of Machine Learning has seen tremendous advancements in recent years, profoundly influencing not just research laboratories but also various facets of daily life. However, in Morocco, we face a different reality. We're many years behind in the race to develop Foundation Models from scratch due to resource constraints.

Yet, this talk isn't about dwelling on these challenges. On the contrary, it's about overcoming them. We'll explore a variety of tools and techniques designed to minimize the cost of launching transformative projects. Our discussion will include strategic system designs that can help you scale your product to serve millions of users across Morocco efficiently.

Building a Face Recognition Search Engine AI System with TF, Keras, and Flask

Outline:
- Intro to Problem
- System Design
- Face Detection (we will use a pre-trained model)
- Face Query with Autoencoders
- Putting Everything together.

ML for Production: The art of MLOps in TensorFlow Ecosystem

This talk will cover the process of building machine learning solutions and how to improve it with the use of MLOps. Then we will look at the different ways and tools to deploy your ML models.

ML Nomads 2023/2024 User group Sessionize Event

August 2023, September 2023, October 2023

BlablaConf 2022 Sessionize Event

December 2022

Devfest Casablanca 2022 Sessionize Event

October 2022 Casablanca, Morocco

Taha Bouhsine

Jack of all trades, master of Deep Learning

Glassboro, New Jersey, United States

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