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How Can We Trust Machine Learning?

How Can We Trust Machine Learning? In this talk, Carlos Guestrin, CEO of Dato, Inc. and Amazon Professor of Machine Learning at the University of Washington, describes recent research and new tools with which companies can start to have the means to gain trust and confidence in the models and predictions behind their core business applications.

Strata Data Conference New York City 2017 – Roundup

In this field report, I wanted to share the insideBIGDATA experience last week at the Strata Data Conference 2017 in New York City, September 25-28, sponsored by O’Reilly and Cloudera. These shows are always recognized extravaganzas and never disappoint with respect to the technology being showcased. Below is a series of vignettes that highlight breaking news items that we feel are important for our readers. I hope you’ll feel like you were on the exhibition floor!

New Theory Unveils the Black Box of Deep Learning

In the video presentation below (courtesy of Yandex) – “Deep Learning: Theory, Algorithms, and Applications” – Naftali Tishby, a computer scientist and neuroscientist from the Hebrew University of Jerusalem, provides evidence in support of a new theory explaining how deep learning works. Tishby argues that deep neural networks learn according to a procedure called the “information bottleneck.”

Making Computers Smarter with Google’s AI chief John Giannandrea

In the video below from the recent TechCrunch Disrupt SF 2017 event, Google’s John Giannandrea sits down with Frederic Lardinois to discuss the AI hype/worry cycle and the importance, limitations, and acceleration of machine learning. Giannandrea addresses the huge amount of hype surrounding AI right now, specifically the fear-mongering by some of Silicon Valley’s elite.

Field Report: Deep Learning Specialization on Coursera

This “Field Report” is a bit difference from all the other reports I’ve done for insideBIGDATA.com because it is more of a “virtual” report that chronicles my experiences going through the content of an exciting new learning resource designed to get budding AI technologists jump started into the field of Deep Learning. Renowned MOOC platform Coursera just launched a new Deep Learning Specialization series consisting of 5 courses.

RMSprop Optimization Algorithm for Gradient Descent with Neural Networks

The video lecture below on the RMSprop optimization method is from the course Neural Networks for Machine Learning, as taught by Geoffrey Hinton (University of Toronto) on Coursera in 2012. For all you AI practitioners out there, this technique should supplement your toolbox in a very useful way.

Big Data Asia 2017 – Singapore, Oct. 30/31

Now more than ever, our world needs Data Heroes to guide us through ever-changing circumstances. With the rise of Deep Learning, AI, IoT, and Digital Transformation, all organizations in every industry are going through a disruptive change. Big Data Asia offers you the knowledge, skills and tools that you need to master the data universe and achieve greater success now and beyond. Whether you’re an end user, tech provider, corporate executive, or a data scientist, Big Data Asia is where you want to be this upcoming October.

2017 Data Connectivity Outlook

Our friends over at Progress revealed some new findings from their 2017 Data Connectivity Outlook global survey. In the 4th annual survey based on responses from 1,200 business and IT professionals around the world, the results validate the explosive growth seen in SaaS data sources and the common challenges faced when trying to connect to data in a hybrid environment.

‘Learning Database’ Speeds Queries from Hours to Seconds

University of Michigan researchers developed software called Verdict that enables existing databases to learn from each query a user submits, finding accurate answers without trawling through the same data again and again. Verdict allows databases to deliver answers more than 200 times faster while maintaining 99 percent accuracy. In a research environment, that could mean getting answers in seconds instead of hours or days.

Artificial Intelligence in the Real World – the business case takes shape

Artificial Intelligence in the Real World: The business case takes shape is a report from The Economist Intelligence Unit (EIU) sponsored by Wipro Limited. It draws upon a survey conducted in the second half of 2016 of 203 executives around the globe. The purpose of the study has been to gauge corporate attitudes toward AI in different regions and different industries. Based on a global survey of 203 senior executives, it finds that, especially in North America, companies in health and life sciences, in retail, in manufacturing and in financial services are actively testing the waters.