Michal Grochmal Email & Phone Number

England, United Kingdom

Shoreditch, England, United Kingdom

The founding person for MLEng here, which means:- Get the research code into production quality- Experiment on embeddings- Flow throughput to LLM APIs at scale- Scale out of memory data processing- Build the data pipeline from scratch- Plan my own work- Plan work with the data science and engineering folk (one person teams :) )

London, United Kingdom

I'm teaching the short course in Data Analytics and Machine Learning at City University. The course starts from the basic skills of using numpy, pandas and family, up to the automation of a machine learning project. Notably, we reach hyperparameter tuning methods and bias-variance and dataset size tradeoffs.The course is practical in nature, the objective is to demystify the idea that machine learning is a theoretical science with a lot of mathematical jargon. There is a good deal of mathematical jargon alright,since there is no way of escaping linear algebra when learning machine learning, but the mathematics are not the focus of the course. Instead the focus of the course is in explaining that in real world projects one would try, and evaluate, several different models for a problem; and that it is untrue that more complex models are always the best solution. Over the last years two of us lecturers have completely rewrittenthe material for this short course. The old material was an agglomerate of several unconnected sources, after our changes we have a comprehensive and consistent material for the entire course. We are also writing a book based on this material, see the Projects section below for a link to it.