Ben Auffarth is a full-stack data scientist who has more than 15 years of work experience.
With a background and Ph.D. in computational and cognitive neuroscience from one of Europe's top engineering universities, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds of thousands of transactions per day, and trained neural networks on millions of text documents.
In his work, he often notices a lack of appreciation for the importance of time-related factors, a deficit he wanted to address in this book. He co-founded and is the former president of Data Science Speakers, London.
Become a new breed of engineer, through a solid grounding in AI and edge computing (Internet of Things) for developing systems in production. We incorporate an Agile data science methodology adapting Agile techniques to AI systems deployed in production.