Description

Understanding Anomaly Detection

Understanding Anomaly Detection
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 1.30 GB Genre: eLearning | Language: English

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.

How this course will help you

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

Anomaly detection plays a key role in today’s world of data-driven decision making.

How this course will help you

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.

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.

How this course will help you

most out of the class.

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.

How this course will help you

This course is an overview of anomaly detection’s history, applications, and state-of-the-art techniques.

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.

Anomalies are serious business but they’re also often over-hyped.

This course is an overview of anomaly detection’s history, applications, and state-of-the-art techniques.

Survey the history of anomaly detection in astronomy, statistics, and manufacturing.

Gain a core understanding of the most important statistical techniques for quantifying deviations from expectation.

Explore the benefits of using Python for conducting research into potential anomalous patterns and creating software applications that can detect anomalies.

Understanding Anomaly Detection is a two-hour course that will give you a working

knowledge of the topic, whether you’re new to it or a veteran.