This Cyber Monday, U.S. shoppers spent a record $9.4 billion online -- $1.5 billion more than last year's total and an astounding $12 million per minute. Yes, that number is every single minute. Where there's money, there are hackers, scammers and thieves. The internet is more dangerous than ever, and data breaches and attacks are at an all-time high. Tap or click for 4 tips to protect yourself on the web.
Cyber Monday is likely to have been the biggest online shopping day in history, according to an analysis of visits to US retail websites. Online spending in the US yesterday hit a new record with $3.39bn spent online, a 10.2 percent increase year-over-year -- ahead even of Black Friday, when $3.34bn was spent. Cyber Monday is expected to generate slightly less mobile revenue than Black Friday at $1.19bn, but that's still a 48 percent increase on last year, according to the analysis by Adobe. Consumers have spent a total of $39.9bn online so far this month, it said, up 7.4 percent on last November, with 27 out of 28 days seeing online sales of over $1bn. The five best-selling toys in terms of quantity sold on Cyber Monday were Lego, Shopkins, Nerf, Barbie, and Little Live Pets.
Big data and artificial intelligence are driving the development of China's e-commerce giant JD.com Inc, and are expected to help the company provide better user experience, reduce costs and improve efficiency. Zhang Chen, chief technology officer at JD, said: "China is far ahead of other countries in the use of mobile internet. Now mobile internet usage also exceeds PC use, which indicates users' changing habits. So we need to figure out the users' real needs. "So, to better serve consumers, we must dig deeper into big data.
Supervised learning needs labels, or annotations, that tell the algorithm what the right answers are in the training phases of your project. In fact, many of the examples of using MXNet, TensorFlow, and PyTorch start with annotated data sets you can use to explore the various features of those frameworks. Unfortunately, when you move from the examples to application, it's much less common to have a fully annotated set of data at your fingertips. This tutorial will show you how you can use Amazon Mechanical Turk (MTurk) from within your Amazon SageMaker notebook to get annotations for your data set and use them for training. TensorFlow provides an example of using an Estimator to classify irises using a neural network classifier.
As the Black Friday shopping spree spilled over into Cyber Monday, the FBI warned consumers to watch out for "increasingly aggressive and creative scams" that will make your holidays considerably less merry and bright. If there's money being spent, it's a sure thing that scammers will be hunting for a piece of the action. But in a report titled'Tis the Season for Holiday Scams, the FBI said Monday that fraudsters have grown more clever in presenting deals that look sweet but in fact will result in your losing cash or sensitive data, such as a credit card or Social Security number. "If a deal looks too good to be true, it probably, is," the bureau said. The electronic-payments company ACI Worldwide said last week that global retailers can expect a 12% increase in incidents of online fraud this holiday season compared with a year ago.