What does "causality" mean, and how can you represent it mathematically? How can you encode causal assumptions, and what bearing do they have on data analysis? These types of questions are at the core of the practice of data science, but deep knowledge about them is surprisingly uncommon. If you analyze data without regard to causality, you open your results up for the possibility of enormous biases. This includes everything from recommendation system results, to post-hoc reports on observational data, to experiments run without proper holdout groups. I've been blogging a lot recently about causality, and wanted to go through some of the material at a more technical level. Recent posts have been aimed at a more general audience. This one will be aimed at practitioners, and will assume a basic working knowledge of math and data analysis. To get the most from this post you should have a reasonable understanding of linear regression and probability (although we'll review a lot of probability). Prior knowledge of graphical models will make some concepts more familiar, but is not required. Judea Pearl, in his book Causality, constantly remarks that until very recently, causality was a concept in search of a language.

Lounge apparel retailer FlyPolar uses a new service from vendor Sentient Technologies to test many elements quickly across multiple pages and is on track to double sales this month. Artificial intelligence can lead to real sales increases--and fast ones, too. Just ask loungewear retailer ShopFlyPolar.com. The web only merchant had hit a sales downturn, generating about 277,000 in web sales in February 2015 to about 50,000 in July 2016 says, says Shawn Broadus founder and CEO of FlyPolar. "We hit a slump," Broadus say.

The first thing that might come to mind thinking of drones is their military application. Unmanned flying weaponry, however, is not a new approach. In the 1860s, balloons loaded with explosives and sent with the prevailing winds towards enemy targets, were used as the first drones. Today, they have become such an innovative technology that its use has extended to the civilian and commercial sector, becoming a part of our everyday life. Unmanned aircraft systems (UAS) or by the public referred as drones, have the potential to solve problems, improve safety and save costs across a number of industries, throughout the developing world and in disaster relief scenarios.

This story was delivered to BI Intelligence "E-Commerce Briefing" subscribers. To learn more and subscribe, please click here. The acquisition is part of the e-commerce company's structured data push for sellers. Structured data is eBay's standard way of categorizing and displaying products for sale on its marketplace. Utilizing SalesPredict's data analysis and machine learning skills, eBay will be able to better refine its search functions in order to serve the right products to prospective shoppers.

When police officers removed the mirrored doors behind which Yonatan Daniel Aguilar had died hours earlier, they found a crumpled blanket on the ground, obscuring his emaciated body -- pale and stiff, curled in a fetal position, with cuts on his face. One officer lifted a corner of the blanket and two cockroaches crawled out. The child was so tiny that officers thought maybe he was 6 years old or so. Details about the condition of Yonatan's body when it was found last month in his Echo Park home were disclosed in more than 100 pages of heavily-redacted case records and police reports released to The Times by the Los Angeles County Department of Children and Family Services this week. The records show that Yonatan's risk of abuse at home had been marked as "high" four times from 2009 to 2012 by a county program intended to guide social workers' level of intervention.

Bayer buying Monsanto, Uber's self-driving cars, a Navy commander faces attempted rape charges, and Hesperia's halfway houses might be closed. Bayer buying Monsanto, Uber's self-driving cars, a Navy commander faces attempted rape charges, and Hesperia's halfway houses might be closed. Shirley Teeter was punched while attending a Donald Trump rally on Sept. 13 in Asheville, N.C. Shirley Teeter was punched while attending a Donald Trump rally on Sept. 13 in Asheville, N.C. For decades, environmentalists have rhapsodized about the tranquil beauty of California's deserts while battling fiercely with energy companies, the government and within their own ranks over what if any power production should occur on those sun-baked, wind-blown, geothermally active expanses of land.

Maggie also asked him whether or not he gambles when he visits Las Vegas. SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_c... ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW .

The new way of thinking about AI is to see it doing time-consuming tasks, freeing up space for accountants to do the serious thinking and to exercise professional judgement on more complex matters. Despite some people's fears, AI's advocates say it can be a job-creator, not a job-killer. For years, there have been fears that Artificial Intelligence (AI) – smart machines that work and react like humans while having self-learning capabilities – will redefine the role of accountants. Now innovative firms are investing in AI so they can be at the forefront of cognitive technologies. What does the evolution from automation and data-analytics software to AI mean for accountants?

Think about all the things that are pixelated to protect our identity. License plate numbers are routinely blurred, as are the faces of children and victims. When journalistic images of crimes are deemed too disturbing, scenes of horror are edited to preserve the dignity of those involved. Now though, researchers from University of Texas at Austin and Cornell University are calling the practise out: as machine learning comes on in leaps and bounds, simply muddling a series of small squares is no longer enough. Today, our deep learning tools – which use computer algorithms to crack codes – have become so advanced that Texas and Cornell researchers identified a number of obscured faces and numbers.

Could robots soon take over the legal drudge work that slows down so many mergers and acquisitions? Luminance, a start-up backed by Mike Lynch, the British technology investor, is aiming to reduce the time taken on due diligence that accompanies multimillion-pound M&A deals from weeks to days or even hours using a new form of artificial intelligence. Its new software deploys machine learning to read and "think" like a lawyer. Scanning hundreds of pages of complex documents a minute, it can spot anomalies and potential pain points in contracts and other corporate paperwork.