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ODSC Europe 2019 Preview: Tutorial on Automated Machine Learning
This article is co-written by Joaquin Vanschoren and Pieter Gijsbers. Today’s society increasingly relies on machine learning models for complex tasks such as decision making and personalized medicine. Constructing a good machine learning model is complicated and time-intensive. Relevant data has to be collected and cleaned, features might need... Read more
The Latest Advances in Classification With Too Many Labels
At ODSC London 2018, Dr. Michael Swarbrick Jones, Ph.D. gave a technical lecture on the latest in large-scale multilabel classification and how practitioners should be managing their hyperparameters and data to get the most out of their models, focusing specifically on problems where there are thousands or tens of... Read more
How to Fix Data Leakage – Your Model’s Greatest Enemy
At ODSC London 2018, Yuriy Guts of DataRobot gave a talk on data leakage, including potential sources of the problem and how it can be remedied. Data leakage – also sometimes referred to as data snooping – is a phenomenon in machine learning that occurs when a model is... Read more
Going to the Bank: Using Deep Learning For Banking and the Financial Industry
At ODSC London 2018, Pavel Shkadzko explained to the audience how Gini GmbH, where he works as a semantics engineer, uses deep learning to automate information extraction from financial documents, such as invoices. By applying deep learning to tasks historically handled by optical character recognition and clever regular expression... Read more
Digital Transformation and Agile Decision-Making in Commerce
Dr. Kanishka Bhattacharya spoke at ODSC London 2018 on how data science is changing commerce and enabling large companies to become more “agile” in their decision process. Dr. Bhattacharya, who works as a senior director at Publicis.Sapient, explained that large corporations with ‘traditional’ business models are failing to meet... Read more
9 Reasons Why You Should Go To a Career Fair
Tech companies have been known to ask… interesting…questions during interviews, such as the famous “How many golf balls can you fit in a school bus?” (It’s 660,000, apparently.) Whether it’s at Google, Facebook, Apple, or another company hiring for a data science position, you can bet that the interview(s) will be... Read more