AI News, Machine Learning – Hype or Reality? Microsoft ML Experts Weigh In

Machine Learning – Hype or Reality? Microsoft ML Experts Weigh In

The recent Practice of Machine Learning Conference at Microsoft concluded with a lively panel discussion moderated by principal researcher Misha Bilenko on the topic of: "Are We at Peak ML, or at the Start of AI Takeover?

John and Joseph took the conversation further by discussing the challenges associated with employment and wealth distribution in an environment of seemingly ever-increasing automation, but the panelists admitted they couldn’t predict exactly how this trend might play out.

After discussing the Azure ML marketplace as a place where data scientists can publish their innovative ideas as web services, all panelists issued a call to action to the audience to be ever more data-driven in their work and build their ML skills, as there are many possibilities ahead of us to make products and services more intelligent.

They teach what's inside the black box, but before that you need to learn statistical hygiene: You need to have a test set, you need to not cheat, you have to do confidence intervals, and you need to worry about outliers.

The discussion also touched upon the enormous possibilities that the cloud opens up for data scientists and ML practitioners, as well as the potential of massive amounts of data that are becoming available.

Joseph chimed in with the comment that "When you put enormous compute against enormous data, and you bring machine learning to bear along with it, and the Internet of Things feeding data into the cloud…and streaming analytics running on live data…I think that in a very short time, you will see a completely different picture of analytics".

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