This spring, I’ll be giving talks at a couple of Meetups and conferences: March, 26th: At the data lounge Bremen, I’ll be talking about Explainable Machine Learning April, 11th: At the Data Science Meetup Bielefeld, I’ll be talking about Building Interpretable Neural Networks with Keras and LIME May, 14th: At the M3 conference in Mannheim, a colleague and I will give our workshop on building production-ready machine learning models with Keras, Luigi, DVC and TensorFlow Serving

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The last two days, I was in London for the M-cubed conference. Here are the slides from my talk about Explaining complex machine learning models with LIME: Traditional machine learning workflows focus heavily on model training and optimization; the best model is usually chosen via performance measures like accuracy or error and we tend to assume that a model is good enough for deployment if it passes certain thresholds of these performance criteria.

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I’ll be giving talks and workshops at the following three upcoming conferences; hope to meet some of you there! From 15th to 17th October 2018, I’ll be in London for the M-cubed conference. My talk about Explaining complex machine learning models with LIME will take place on October 16 Traditional machine learning workflows focus heavily on model training and optimization; the best model is usually chosen via performance measures like accuracy or error and we tend to assume that a model is good enough for deployment if it passes certain thresholds of these performance criteria.

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