AI: “It is an astonishing time to be a technologist.”

Want to master artificial intelligence (AI) techniques? A new book, The Supervised Learning Workshop, teaches you how to create machine-learning models using the Python programming language. A conversation with the co-author, Blaine Bateman.

Blaine Bateman is a business strategy consultant, helping companies identify growth strategies and opportunities.

Several years ago he decided to focus on data analysis or, more accurately, predictive analytics using machine learning.

“I started to see that clients had lots of data, frequently they didn’t know anything about it and they weren’t using it,” he says. “At the same time, I started to see that AI and machine learning were really on the uptick.”

Machine learning work is also rewarding, he says: “You build stuff and when you get it to work, you do something that helps someone.”

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Using an open-source model to spur AI adoption

The Linux Foundation’s (LF) Deep Learning Foundation has set itself the ambitious goal of providing companies with all the necessary artificial intelligence (AI) software they will need.

Eyal Felstaine“Everything AI, we want you to take from open source,” says Eyal Felstaine, a member of the LF Deep Learning governing board and also the CTO of Amdocs. “We intend to have the entire [software] stack.”

The Deep Learning Foundation is attracting telecom, large-scale data centre operators and other players. Orange, Ciena, Red Hat, Chinese ride-sharing firm, Didi, and Intel are the latest companies to join the initiative. 

The Deep Learning Foundation’s first project is Acumos, a platform for developers to build, share and deploy AI applications. Two further projects have since been added: Angel and Elastic Deep Learning. 

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