About Pier Paolo Ippolito

Pier Paolo Ippolito is a Data Scientist and MSc in Artificial Intelligence graduate from the University of Southampton. He has a strong interest in AI advancements and machine learning applications (such as finance and medicine). Connect with him on Linkedin.

Pier Paolo Ippolito Posts (12)

• Design Patterns in Machine Learning for MLOps - 23 Feb 2022
  
  This article outlines some of the most common design patterns encountered when creating successful Machine Learning solutions.
• Paradoxes in Data Science - 17 Sep 2021
  
  Have a look into some of the main paradoxes associate with Data Science and it’s statistical foundations.
• Getting Started with Reinforcement Learning - 26 Apr 2021
  
  Demystifying some of the main concepts and terminologies associated with Reinforcement Learning and their association with other fields of AI.
• Roadmap to Computer Vision - 26 Oct 2020
  
  Read this introduction to the main steps which compose a computer vision system, starting from how images are pre-processed, features extracted and predictions are made.
• Roadmap to Natural Language Processing (NLP) - 19 Oct 2020
  
  Check out this introduction to some of the most common techniques and models used in Natural Language Processing (NLP).
• Getting Started with PyTorch - 14 Oct 2020
  
  A practical walkthrough on how to use PyTorch for data analysis and inference.
• Getting Started in AI Research - 05 Oct 2020
  
  A guide on how to contribute to confirming the reproducibility of some of the most recent papers and join open-search research.
• Probability Distributions in Data Science - 26 Feb 2020
  
  Some machine learning models are designed to work best under some distribution assumptions. Therefore, knowing with which distributions we are working with can help us to identify which models are best to use.
• Getting Started with R Programming - 19 Feb 2020
  
  An end to end Data Analysis using R, the second most requested programming language in Data Science.
• Optimal Estimation Algorithms: Kalman and Particle Filters - 05 Feb 2020
  
  An introduction to the Kalman and Particle Filters and their applications in fields such as Robotics and Reinforcement Learning.