<p>Sam Ackerman, Research Data Scientist at IBM Research Labs in Haifa, Israel, joins us today to talk about his work Detection of Data Drift and Outliers Affecting Machine Learning Model Performance Over Time.</p> Check out Sam's IBM statistics/ML blog at: <a href= "http://www.research.ibm.com/haifa/dept/vst/ML-QA.shtml" target= "_blank" rel="noopener" data-saferedirecturl= "https://www.google.com/url?q=http://www.research.ibm.com/haifa/dept/vst/ML-QA.shtml&source=gmail&ust=1624633457488000&usg=AFQjCNHh5oxYNVqRqqIucQ0qdG-h9RhiFg"> http://www.research.ibm.com/haifa/dept/vst/ML-QA.shtml</a>

Do We Need Deep Learning in Time Series

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.