Data → Decisions, Automated

Applied Research for Scalable, Human-Centric Intelligence

Mohamed Yosef ☕️
Mohamed Yosef

Applied Data Scientist

Mohamed Yosef. Jr. Applied Data Scientist holding a 2024 BSc in Statistics and Computer Science. My focus is applying data analysis, time-series forecasting, and foundational ML principles to solve practical problems, demonstrated through projects like AQSA (tools for small businesses). Authored literature reviews covering ML, DL, and RL fundamentals. A Linux user committed to rigorous application of data methods and contributing to open-source.

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Interests
  • Time Series Analysis
  • Deep Reinforcement Learning
  • The Human Brain
Education
  • B.Sc Statistics & Computer Science

    Mansoura University

Featured Publications
Most Recent

The foundations of Machine Learning and Deep Learning

This paper explores the foundational concepts of machine learning (ML) and deep learning (DL), providing a detailed understanding for both researchers and beginners aiming to develop a solid grasp of when and how to use different models effectively.

Reinforcement Learning: All the Basics

From AlphaGo beating the world champion in Go, to the newest updates on large language models and what they can do, RL algorithms with no doubt have a huge impact in the present and the future of automation and Human-AI interaction. With this collection of RL principles, you’ll gain a deeper understand of how RL work and you may gain insights applicable in your own work, leading to innovative solutions.

Courses I’ve had the privilege to teach