Results


How AI Protects PayPal's Payments and Performance The Official NVIDIA Blog

#artificialintelligence

With advances in machine learning and the deployments of neural networks, logistic regression-powered models are expanding their uses throughout PayPal. PayPal's deep learning system is able to filter out deceptive merchants and crack down on sales of illegal products. Kutsyy explained the machines can identify "why transactions fail, monitoring businesses more efficiently," avoiding the need to buy more hardware for problem solving. The AI Podcast is available through iTunes, DoggCatcher, Google Play Music, Overcast, PlayerFM, Podbay, Pocket Casts, PodCruncher, PodKicker, Stitcher and Soundcloud.


How to Solve the New $1 Million Kaggle Problem - Home Value Estimates

@machinelearnbot

More specifically, I provide here high-level advice, rather than about selecting specific statistical models or algorithms, though I also discuss algorithm selection in the last section. If this is the case, an easy improvement consists of increasing value differences between adjacent homes, by boosting the importance of lot area and square footage in locations that have very homogeneous Zillow value estimates. Then for each individual home, compute an estimate based on the bin average, and other metrics such as recent sales price for neighboring homes, trend indicator for the bin in question (using time series analysis), and home features such as school rating, square footage, number of bedrooms, 2- or 3-car garage, lot area, view or not, fireplace(s), and when the home was built. With just a few (properly binned) features, a simple predictive algorithm such as HDT (Hidden Decision Trees - a combination of multiple decision trees and special regression) can work well, for homes in zipcodes (or buckets of zipcodes) with 200 homes with recent historical sales price.


rule-no-1-scoring-big-pay-japan-dont-japanese

The Japan Times

SoftBank Group Corp.'s former Chief Operating Officer Nikesh Arora, whose 8 billion package topped the list, hails from India. Higher wages in Japan were typically earned by sticking around, thanks to rigid corporate promotion systems based on tenure. In the U.S., executives have reaped the benefits of a shift from cash to equity-based compensation tied to their companies' performance -- a change that sent pay packages spiraling in recent decades as the stock market soared. Interlocking stock ownership between companies listed on the Tokyo Stock Exchange fell to 16 percent in 2015 from 50 percent in 1990, according to data from Nomura Holdings Inc. Last year's biggest pay packages for Japan executives born in the country were Fanuc Corp. CEO Yoshiharu Inaba's 690 million and Sony Corp. CEO Kazuo Hirai's 513 million, data compiled by Bloomberg show.