The drug and bomb sniffing drone that can detect dangerous chemicals from 1.8 MILES away Drone uses lasers and algorithms to detect explosives and toxins SpectroDrone can find and analyzed threats within a 1.8 mile radius The system finds threats, then sends an image to controllers in real-time It can also be mounted on ground robots and vehicle inspection systems SpectroDrone can find and analyzed threats within a 1.8 mile radius The world's first drone that is capable of detecting explosives, narcotics and other chemical compounds from a safe distance has been revealed. Watch the US Army's real-life PHASER GUN in action: Weapon... Nasa and AT&T join forces for system to track every drone in... Electric vehicles safety crackdown: New rules will force... Could YOU survive the suicide circle? Watch the US Army's real-life PHASER GUN in action: Weapon... Nasa and AT&T join forces for system to track every drone in... Electric vehicles safety crackdown: New rules will force... Could YOU survive the suicide circle? The body of the drone is designed with multiple electro-optical assemblies that form a laser source emitting several wavelengths, laser range finder and high-resolution camera. When the drone detects a threat, it alerts its controllers and sends an image of the area.

Bricklayer, 31, to sell'very rare' 2,000-year-old lead Roman ingot he found on a Somerset farm for £60,000 Human drivers will BULLY robot cars unless the vehicles are... Unearthed after 1,100 years, the Anglo Saxon burial ground... Snapchat confidentially files for IPO that could value it at... Could YOU survive the suicide circle? Human drivers will BULLY robot cars unless the vehicles are... Unearthed after 1,100 years, the Anglo Saxon burial ground... Snapchat confidentially files for IPO that could value it at... Could YOU survive the suicide circle? When the Romans invaded Britain 2,500 years ago they mined lead, cast it into big blocks, put the emperor's name (pictured, 'Marcus Aurelius Armeniacus') on it and sent it back to Rome as a building material Man discovers wife is cheating on him following her with drone Mob storm police station and lynch suspected paedophile Victoria Fritz hides her baby bump moments before giving birth Ivanka Trump gives glimpse of her father's $100m penthouse Protestor at an anti-Trump rally at Ohio State gets slammed 100 special police agents protect suspected paedophile from mob Chili's manager snatches veteran's free meal after complaint Is this the creepy moment the corpse of a girl OPENS her eyes? Ivanka Trump gives glimpse of her father's $100m penthouse Is this the creepy moment the corpse of a girl OPENS her eyes? EXCLUSIVE: Blow up! Days before losing the election Hillary... Man with the Midas touch: Inside the President-elect's $100... Inside America's'creepiest mall': Apocalyptic images... 'Watch carefully, you can see 18 years go down the drain':... 'Reality has a way of asserting itself!' Condescending Obama... It's a steak out!

The recent explosion of interest in data science, data mining, and related disciplines has been mirrored by an explosion in book titles on these same topics. One of the best ways to decide which books could be useful for your career is to look at which books others are reading. This post details the 10 most popular titles in Amazon's Data Mining Books category as of Nov 10, 2016, skipping over repeated titles as well as titles which have been obviously miscategorized and are of no use to our readers. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics.

Who will remain a loyal customer and who won't? Which messages are most effective with which segments? How can customer value be maximized? This book supplies powerful tools for extracting the answers to these and other crucial business questions from the corporate databases where they lie buried. In the years since the first edition of this book, data mining has grown to become an indispensable tool of modern business.

Join the Search Science team at eBay! Do you have what it takes to improve a world-class real-time search engine that serves millions of queries a day? Do you thrive on developing data mining techniques to pull insight out of large data sets. We are passionate about building the best search platform for the world--s largest online marketplace and are looking for top-notch software Engineering and Data Science leaders. The eBay marketplace allows users to search through a repository of a billion items, and unlike a traditional search engine, 20% of these expire (are sold) each day. This creates a unique and interesting set of challenges in the areas of data mining, machine learning and engineering that you won--t find anywhere else. Join the Search Science team at eBay! Do you have what it takes to improve a world-class real-time search engine that serves millions of queries a day?

Automated machine learning has become a topic of considerable interest over the past several months. A recent KDnuggets blog competition focused on this topic, and generated a handful of interesting ideas and projects. Of note, our readers were introduced to Auto-sklearn, an automated machine learning pipeline generator, via the competition, and learned more about the project in a follow-up interview with its developers. Prior to that competition, however, KDnuggets readers were introduced to TPOT, "your data science assistant," an open source Python tool that intelligently automates the entire machine learning process. For scikit-learn-compatible datasets, TPOT can automatically optimize a series of feature preprocessors and machine learning models that maximize the dataset's cross-validation accuracy, and outputs the optimal model as Python code leveraging scikit-learn.

Britain's manufacturing sector has just posted its strongest growth in over two years. Latest figures show that export orders have increased at their fastest rate since January 2014 and factories have also taken on more workers, with employment rising for the second consecutive month. However, the export benefits of a weakened pound will not last forever, and so, as the manufacturing sector continues to evolve, this year's FT Future of Manufacturing Summit looked at how big data analytics, advanced robotics, the Internet of Things (IoT) and additive manufacturing are shaping the economics of production and distribution within the sector. With the opportunities big data brings referred to as the Fourth Industrial Revolution in manufacturing, the estimated £57bn boost to the industry over the next five years will be driven by gains in efficiency through the use of big data analytics. The winners will be those who can adapt, embrace technologies and respond to new demands.

The underwater lake, discovered 3,300 feet below the surface of the Gulf of Mexico, is a pit of super-salty water and dissolved methane that kills any critter unlucky enough to fall inside. The discovery was made last year by a San Pedro-based research vessel, the E/V Nautilus. In the video, scientists excitedly navigate a remotely operated vehicle, the Hercules, above the circular pool. They point out the "pickled crabs" that succumbed to the elements. "These larger organisms really don't like to be in this fluid -- or maybe they just come here to die," Scott Wankel, a marine chemist, says on the video.

Their business is like web design platforms Wix or Weebly, but for chatbots. It's a paint-by-numbers for bot creation that's so easy, I could do it. I programmed the Katie Roof bot to respond with "raise the roof" as my greeting. Believing that bots are more than just a gimmick, Parr says "this actually saves you time. This actually makes you money." It's a "very clearly a win for every business that uses it."

Bruce Ratner, The Significant StatisticianTM, is President and Founder of DM STAT-1 Consulting, the ensample for Statistical Modeling, Analysis and Data Mining, and Machine-learning Data Mining in the DM Space. DM STAT-1 specializes in all standard statistical techniques, and methods using machine-learning/statistics algorithms, such as its patented GenIQ Model, to achieve its clients' goals – across industries including Direct and Database Marketing, Banking, Insurance, Finance, Retail, Telecommunications, Healthcare, Pharmaceutical, Publication & Circulation, Mass & Direct Advertising, Catalog Marketing, e-Commerce, Web-mining, B2B, Human Capital Management, Risk Management, and Nonprofit Fundraising. Bruce holds a doctorate in mathematics and statistics, with a concentration in multivariate statistics and response model simulation. His research interests include developing hybrid-modeling techniques, which combine traditional statistics and machine learning methods. He holds a patent for a unique application in solving the two-group classification problem with genetic programming.