Name: 7 Steps to Build a Machine Learning Model
Start: 2021-10-18T17:52:00Z
End: 2021-10-18T17:52:03.000Z
Location: BrightTALK
Rating: 0

Eye on Tech focuses on the latest business technology and IT topics, including AI, DevOps, security, networking, cloud, storage and more. Programmed strategically to inform the business tech buying cycle, Eye on Tech features insight and commentary from the writers, editors and experts at SearchSecurity, SearchNetworking, SearchStorage and other sites in the TechTarget portfolio.

This year’s 2024 MIT Sloan CIO Symposium on May 14 -- and the pre-event on May 13 -- promises to be packed with exciting sessions and discussions. (A virtual option is available.)

In this interview with Allan Tate, executive chair, MIT Sloan CIO Symposium, you’ll hear about the critical issues the sessions will cover, including AI quandaries -- such as risks and legal challenges -- and how IT leaders can balance the myriad of business and IT challenges.
• Register for the event: https://mitcio.info/register
• 2024 Agenda: https://mitcio.info/agenda
• 2024 Speakers: https://mitcio.info/speakers

Watch an interview from last year with two returning panelists -- Irving Wladawsky-Berger/MIT and Robert Mahari/MIT & Harvard -- speaking about AI issues. https://www.brighttalk.com/webcast/19989/582569?utm_source=TechTarget&utm_medium=brighttalk&utm_campaign=582569

2024 MIT Sloan CIO Symposium to Tackle AI Controversies, IT Balance

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AI is not a one-size-fits-all technology; every AI project is customized to solve a specific business problem, with machine learning models. These models, which rely on data and algorithms, are what address the project’s needs. There are seven steps to building an effective machine learning model, from understanding the business problem, to preparing data, to adjusting the model in operation.

7 Steps to Build a Machine Learning Model

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