If you're one of the thousands of New Yorkers who has, on occasion, sent out a tweet after a couple of cocktails, this algorithm may be able to pick up on your antics. Researchers from the University of Rochester recently developed a computer program that can single out tweets sent while the user is tipsy. Some of the strongest words include "shot," "here," "haha," a URL, and -- worrisomely -- "drive." To develop the algorithm, researchers first collected millions of geo-tagged tweets and then filtered them for references to drinking and alcohol. Then they had to sort out whether the tweet was sent actually sent about the user's own alcohol use (and not, say, a friend's) and whether it was sent while the tweeter was under the influence.

For more than 30 years, Gibbs has advised on and developed product and service marketing for many businesses and he has consulted, lectured, and authored numerous articles and books. Artificial Intelligence is tricky stuff. When it works right, it does amazing things like thrash the World Champion Go player by winning four games to one in a 1 million tournament. When it goes wrong, well, that's a whole different story, and Microsoft's recent experiment with an AI chatbot named Tay that interacted (note the past tense) with users on Twitter, Kik, and GroupMe, is a great example. Going offline for a while to absorb it all.

It's been another busy week across the tech world, bringing some news that had been long-anticipated, and some surprises that were far from expected. With the weekend upon us again, 7 Days is here once more to bring you up to speed on what you may have missed, so get comfy, and let's crack on… We begin this week with bad news for owners of most BlackBerry devices. Facebook has revealed that it will end access to certain APIs on BB OS 7.1 and BlackBerry 10, which means that the next Facebook update for BlackBerry will lose several major features. On Wednesday, Google announced its plans to launch Android Pay in the UK "in the coming months", but while numerous major financial institutions and retailers are onboard, two of the country's'Big Four' banking groups – Barclays and RBS, which includes NatWest – haven't signed up. We've known for a while that the next version of Android would include split-screen multitasking support.

More than a thousand keywords with detailed explanations, and hundreds of machine learning / data science books categorized by programming language used to illustrate the concepts.

I am a newbie to Bigdata and would like to highlight some significant advantages if incorporated in a company's supply-chain management strategies, expecting the reader's views and suggestions. Because, in recent past I have developed a online supply-chain management systems in which sellers and customers are matched using an algorithm. It acted as a decision support system and I needed to dig deeper on the available data to get more insights over the data pattern (even for evaluating its correctness). We know that data is generated throughout the supply chain – So, for sure the manufacturers of consumer goods or services analyze key performance indicators to ensure the resources are delivering at its capacity. So, there is a need for efficient data storage/management and information retrieval techniques. Current technology can track and capture data effectively and efficiently, even in vast quantities.

How many times a day do we ourselves, or hear someone else, utter the phrase "Google it"? It's hard to imagine that a phrase so ubiquitous and universally understood has been around for less than two decades. The word "Google" has become synonymous with online search, and when we think about why this, it's because Google yields the most relevant, comprehensive results, quickly. Essentially, it has changed the way we find and interact with content and information. We've seen the cultural effect Google has had on search and discovery on a broad level, but consider the implications for online media and publishing organizations interested in honing these same powerful search and discovery capabilities, a process referred to as dynamic semantic publishing.

Nearly a decade after the iPhone broke the mold for mobile phones, the question being asked is whether the evolution of the smartphone has finally come to an end, as even Apple now treats older, smaller 4-inch screens as something new. Industry experts believe innovation in smartphones is giving way to phone functions popping up as software or services in all manner of new devices, from cars to fridges to watches and jewelry rather than remaining with handheld devices. And analysts and product designers said fresh breakthroughs are running up against the practical limits of what's possible in current smartphone hardware in terms of screen size, battery life and network capacity. "Everything in the phone industry now is incremental: slightly faster, slightly bigger, slightly more storage or better resolution," said Christian Lindholm, inventor of the easy text messaging keyboards in old Nokia phones that made them the best-selling mobile devices of all time. The financial stakes are high, as the futures of Apple, Google and Microsoft, the world's three biggest listed companies at the end of last year, may now turn on who gets the jump on making handsets redundant.

Statistics.com, a provider of online education in statistics and analytics, announces a partnership with CrowdANALYTIX, a predictive modeling "managed crowdsourcing" company, offering a new online course, "Applied Predictive Analytics in partnership with CrowdANALYTIX", which will run from Oct. 11 to Nov 8, 2013. The goal of this course is to teach users (who have basic knowledge of R programming, predictive analytics and statistics) to apply machine learning techniques in real world case studies. This course provides a hands on approach, presenting the opportunity to participate in a private educational competition hosted by CrowdANALYTIX. Business Case Study: We will study data from the "daily deals" industry (consisting of websites like Groupon, Living Social etc. which source local deals to offer each day). The daily deals industry is emerging and highly competitive.

This summer a Minnesota startup began deploying an autonomous robot that rolls between corn plants spraying crop fertilizer. The robot applies fertilizer while the plant is rapidly growing and needs it most. This eliminates the need for using tractors, which can damage the high stalks, and reduces the amount of fertilizer needed earlier in the season, says Kent Cavender-Bares, CEO of the company, Rowbot. Further, by reducing the fertilizer, the robot reduces the amount of nitrogen that can end up polluting waterways after rainstorms. As the machine travels between rows, it can spray two rows of corn on either side of the machine.

In this video Scott Hanselman delivers one of the best and personal demos, he'll show you how a combined solution using technologies such as IoT devices, cloud platforms, Machine Learning and Office API's can come together to solve even the most complex problems. The samples in the repo are used to present an end-to-end demo scenario based on a fictitious B2B and multitenant system, named "HealthClinic.biz"