 On Friday Dec 13 I gave a one-day masterclass about Applied Data Science for Data Science trainees in the context of our Life Long Learning programme. With 4 rounds of 75 minutes, it felt not unlike a sporting activity, but there was a great and enthousiastic atmosphere and I enjoyed myself a lot as well. My focus was on explaining the entire knowledge discovery process based on CRISP-DM, and by illustrating each phase with a real-life healthcare case study. The corresponding learning objectives were to recognise the knowledge discovery process in applied data science, to understand the role of data science and its societal impact, and to identify trends and developments in data science technologies. Topics included requirements elicitation,
hypothesis-free data exploration, natural language processing, automated
machine learning, and dashboard design. In the closing talk about current trends and developments I touched upon all other cool technologies and developments that I hadn't mentioned yet, including deep learning, transfer learning, active learning, and deep reinforcement learning... Pretty mind-boggling and fun! |
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