Ai+ Training

Should You Trust Your Copilot? Limitations and Merits of AI Coding Assistants by Emanuele Fabbiani, PhD

Artificial Intelligence Research Institute - On the Engineering of Social Values by Carles Sierra, PhD

Pre-trained Language Models for Summarisation by Sophia Ananiadou

Iterated and Exponentially Weighted Moving Principal Component Analysis by Dr Paul A. Bilokon

Me, my health, and AI: applications in medical diagnostics and prognostics by Sara Khalid

Semantic Analysis and Procedural Language Understanding in the Era of Large Language Models by Dr. Gözde Gül Şahin

Deep Learning and Comparisons between Large Language Models by Hossam Amer, PhD

Why GPU Clusters Don't Need to Go Brrr? Leverage Compound Sparsity to Achieve the Fastest Inference Performance on CPUs by Damian Bogunowicz, Konstantin Gulin

Why the Jagged Edge Matters by Jutta Treviranus

Apache Kafka for Real-Time Machine Learning Without a Data Lake by Kai Waehner

Towards Socially Unbiased Generative Artificial Intelligence by Danushka Bollegala, PhD

AI and Bias: How to detect it and how to prevent it by Sandra Wachter, PhD

From Probabilistic Logics to Neurosymbolic AI by Luc De Raedt

The Unfairness of Fair Machine Learning: Levelling Down and Strict Egalitarianism by Default by Brent Mittelstadt, PhD

Botnets detection at scale - Lesson learned from clustering billions of web attacks into botnets by Ori Nakar

Getting Up to Speed on Real-Time Machine Learning by Dillon Bostwick and Avinash Sooriyarachchi

Time Series Forecasting for Managers - All forecasts are wrong but some are useful by Tanvir Ahmed Shaikh

Probabilistic Machine Learning for Finance and Investing by Deepak Kanungo

The Tangent Information Modeler, time series modeling reinvented by Philip Wauters

Ask the Experts! ML Pros Deep-Dive into Machine Learning Techniques and MLOps by Seth Juarez

Driving AI Forward: Continental Tire’s Journey to MLOps Excellence by Drazen Dodik

Build a Modern Data Estate in 15 Minutes by Chris Butcher

Distributed Hyperparameter Tuning: Finding the Right Model can be Fast and Fun by Matthias Seeger, PhD

Explainable Time Series Classification by Elisa Fromont

When Privacy Meets AI - Your Kick-Start Guide to Machine Learning with Synthetic Data by Alexandra Ebert

Utilizing Advanced Monitoring Capabilities to Promote Product-Oriented Data Science by Itai Bar-Sinai and Gal Naamani

Hyper-productive NLP with Hugging Face Transformers by Julien Simon

Modern NLP: Pre-training, Fine-tuning, Prompt Engineering, and Human Feedback by Daniel Whitenack, PhD

Advanced NLP: Deep Transfer Learning for Natural Language Processing with Transformers by Dipanjan (DJ) Sarkar

Space Science with Python - Enabling Citizen Scientists by Dr.-Ing. Thomas Albin

Data Validation at Scale - Detecting and Responding to Data Misbehavior by Felipe de Pontes Adachi

Automate Machine Learning Workflows with PyCaret 3.0 by Moez Ali

Diffusion Models 101 by Daniel Voigt Godoy

Introduction to Interpretability in ML (XAI) by Andras Zsom

Feature Engineering With Signal Types by Colin Priest

Python Fundamentals by Philip Tracton

An Introduction to Data Wrangling with SQL by Sheamus McGovern

Introduction to Machine Learning by Julia Lintern

Data Science 101:A Layman’s Tour of Data Science by Todd Cioffi