Understanding Anomaly Detection / Kejariwal, Arun.

Format:

Video

Author/Creator:

Kejariwal, Arun, author.

Language:

English

Subjects (All):

Quantitative research.

Statistics.

Anomaly detection (Computer security).

Genre:

Electronic videos.

Physical Description:

1 online resource (1 video file, approximately 2 hr., 44 min.)

Edition:

1st edition

Place of Publication:

Infinite Skills, 2017.

System Details:

video file

Summary:

Anomaly detection plays a key role in today's world of data-driven decision making. This stems from the outsized role anomalies can play in potentially skewing the analysis of data and the subsequent decision making process. This course is an overview of anomaly detection's history, applications, and state-of-the-art techniques. Taught by anomaly detection expert Arun Kejariwal, the course provides those new to anomaly detection with the understanding necessary to choose the anomaly detection techniques most suited to their own application. While not required, a basic understanding of statistics, R, and Python will be helpful to get the most out of the class. Survey the history of anomaly detection in astronomy, statistics, and manufacturing Gain a core understanding of the most important anomaly detection techniques available today Explore the landscape of applications where anomaly detection is routinely used Develop an awareness of the underlying assumptions and challenges of anomaly detection Learn how to mitigate the influence of anomalies during data-driven decision making processes Arun Kejariwal is a Statistical Learning Principal at Palo Alto based Machine Zone, where he leads R&D teams working on novel techniques for fraud detection and real-time anomaly detection. He developed many open sourced techniques for anomaly detection and breakout detection while working for Twitter; he speaks frequently at the Velocity and Strata Data conferences, and he's the co-author of the O'Reilly title "The Art of Capacity Planning: Scaling Web Resources."

Participant:

Presenter, Arun Kejariwal.

Notes:

Online resource; Title from title screen (viewed June 1, 2017)

Title from title screen (Safari, viewed June 26, 2017).

OCLC:

992147672