Web: https://towardsdatascience.com/how-to-handle-outliers-anomalies-and-skews-2673ab0dea85?source=rss----7f60cf5620c9---4

Sept. 15, 2022, 1:31 p.m. | TDS Editors

Towards Data Science - Medium towardsdatascience.com

Data science is about finding patterns and extracting meaningful insights from their analysis. As any practitioner knows, however, data loves throwing us the occasional curveball: a weird spike, an unexpected dip, or (gasp!) an oddly shaped cluster.

This week, we turn our attention to those jarring moments when things (and our graphs) turn out to be less smooth than we’d hoped. Our selection of highlights cover different approaches for tackling irregularity and coming to terms with the unpredictable.

anomaly detection data science outliers tds-features the-variable towards-data-science

Postdoctoral Fellow: ML for autonomous materials discovery

@ Lawrence Berkeley National Lab | Berkeley, CA

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Computational Linguist

@ Constant Contact | Waterloo, ON/Hybrid, ON

Senior Data Scientist

@ Advian | Espoo, Finland

Data Scientist, EU In-stock Management

@ Gopuff | London, England