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Self-Service Machine Learning

Event Details

Self-Service Machine Learning

Time: July 18, 2017 from 9am to 10am
Location: Online
Website or Map: http://bit.ly/2sQmH0D
Event Type: dsc, webinar
Organized By: Bill Vorhies, Editorial Director -- Data Science Central
Latest Activity: on Tuesday

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Event Description

Space is limited.

Reserve your Webinar seat now

In today’s demanding market, Machine Learning capabilities have become a basic requirement you need to support. Self-service BI solutions are no different. Users need machine learning capabilities as an integral part of the provided solution.

The specific challenges of integrating ML capabilities in a self-service BI platform include the supply of ML algorithms that do not rely on specific data and can be easily applied and fit to customer specific use cases (and data).

In this Data Science Central Webinar we will demonstrate how to implement a classification model in a generic manner that can be used by many customers, without relying on specific data, and by automating the validation process ensuring minimum overfit introduced. It will outline the challenges in such a scenario and ways to mitigate them. Specifically, the case study will demonstrate implementing a Decision Tree model and visualize it using a dynamic UI component. 

Speakers:

Nir Regev, Senior Data Scientist, Data Scientist Team Leader -- Sisense
Evan Castle, Product Manager -- Sisense

Hosted by: 
Bill VorhiesEditorial Director -- Data Science Central

Again, Space is limited so please register early:

Reserve your Webinar seat now

 

After registering you will receive a confirmation email containing information about joining the Webinar.

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Comment by Srikanth Ramakrishna on Tuesday

Hi Team,

The Webinar link is not working yet..

Can you please let us know when the webinar joining link will work

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