Philosophy of Data Science | Step-change and Anomaly Detection | Alex Bolton

<p><a href='https://www.youtube.com/hashtag/datascience'>#datascience</a>​ <a href='https://www.youtube.com/hashtag/ai'>#ai</a>​ <a href='https://www.youtube.com/hashtag/earlycareer'>#earlycareer</a>​</p> <p>Philosophy of Data Science Series </p> <p>Session 3: Data Science Highlight Reel </p> <p>Episode 4: Alex Bolton on Step-change and Anomaly Detection </p> <p> </p> <p>Who makes it into the highlight reel of data science? Alex Bolton for doing the hard work of analyzing data to figure out exactly when things don't look "normal". We discuss the critical reasoning behind step-change detection and anomaly/novelty detection. Alex provides several real-world examples of the data and challenges. </p> <p>Watch it on...</p> <p>YouTube: https://www.youtube.com/watch?v=097FO1JDkhU</p> <p>Podbean: </p> <p>We're always happy to hear your feedback and ideas - just post it in the YouTube comment section to start a conversation. </p> <p>Thank you for your time and support of the series!</p>