A number of organizations ranging from terrorist groups such as ISIS to politicians and nation states reportedly conduct explicit campaigns to influence opinion on social media, posing a risk to democratic processes. There is thus a growing need to identify and eliminate "influence bots" - realistic, automated identities that illicitly shape discussion on sites like Twitter and Facebook - before they get too influential. Spurred by such events, DARPA held a 4-week competition in February/March 2015 in which multiple teams supported by the DARPA Social Media in Strategic Communications program competed to identify a set of previously identified "influence bots" serving as ground truth on a specific topic within Twitter. Past work regarding influence bots often has difficulty supporting claims about accuracy, since there is limited ground truth (though some exceptions do exist [3,7]). However, with the exception of [3], no past work has looked specifically at identifying influence bots on a specific topic. This paper describes the DARPA Challenge and describes the methods used by the three top-ranked teams.

This interactive course will teach network security professionals machine learning techniques and applications for network data. This course is a continuation of the skills taught in the Crash Course in Data Science for Hackers. Students will learn various machine learning methods, applications, model selection, testing, and interpretation. Participants will write code to prepare and explore their data and then apply machine learning methods for discovery.

There's a line I often say to my colleagues…heck, I say it to my friends and family too: The one thing that's constant about being around me is change! Well, that and the fact that I'll always be thinking about (and talking about) food. Change and innovation is what Facebook is all about, too. F8, Facebook's annual conference for developers and service-building entrepreneurs, took place in San Francisco this past week and there's much buzz about Chatbots, the latest addition to Facebook's Messenger platform. Chatbots--(and the AI that powers them)--are important because they are in many ways the future of communication and, for sure, the future of customer service.

As a reminder, all participants' lines will be in the listen-only mode. There will be an opportunity for you to ask questions after the presentation concludes. I would now like to hand the conference over to Mr. Aravind Viswanathan. Thank you and over to you, sir. We will begin the call with business highlights and overview by Abid, the Chief Executive Officer and Member of the Board, followed by the financial overview by our CFO, Jatin Dalal. Afterwards, the operator will open the bridge for Q&A with our management team. Before Abid starts, let me draw your attention to the fact that during this call, we may make certain forward-looking statements within the meaning of Private Securities Litigation Reform Act 1995. These statements are based on management's current expectations and are associated with uncertainties and risks, which may cause the actual results to differ materially from those expected. The uncertainties and risk factors are being explained in our detailed filings with the SEC. Wipro does not undertake any obligation to update the forward-looking statements to reflect events and circumstances after the date of filing thereof. The conference call will be archived and the transcript will be available on our website. Ladies and gentlemen, let me now hand it over to Mr. Abid. Today is the first opportunity for me to interact with all of you since I've taken over as the Chief Executive Officer of Wipro, and it's a special moment for me. While I will speak about the performance of our full quarter and the full fiscal year, I thought I will take this opportunity to begin by speaking about our ambition, our strategy and how we are going to execute this strategy. Since I got announced within two days, I was able to define and announce my structure and I had already preselected my leadership team which I announced on 6th of January, effective February 1. Over the past 80 days after I have taken over as CEO, I've had the opportunity to go around the globe and meet about 70 of our top 100 clients. And both with my leadership team and with the customers, I've had the opportunity to validate the strategy that we have been working on and this gives me a high level of confidence on the relevance of our overall strategy. Our ambition is to double our revenues to 15 billion by fiscal 2020 with a 23% operating margin.

Jair Aguirre is a life-long tinkerer and has created and hacked everything from custom computers to hot rod engines to music. He is currently a Lead Data Scientist at Booz Allen Hamilton and has over 17 years experience supporting insight discovery and analytics for multiple clients and organizations. Jair's professional passion lies in bringing advanced methods to the mainstream, innovating automated discovery techniques, and prediction for technology risk and opportunity. Jair holds a Master of Science Degree in Applied Economics from The Johns Hopkins University, a Bachelor of Science Degree in Liberal Studies from Excelsior College, and holds certifications in CEH, CPT, Security, Network, EMC Data Science, Hortonworks HDP, and IIF Forecasting Practice. Charles Givre is an unapologetic data geek who is passionate about helping others learn about data science and become passionate about it themselves.

By 2030, India's population of people age 60 or older is projected to grow by 64 percent. Also by 2030, India's urban areas are expected to more than double their current population levels. Additionally, factors such as an increase in income levels, increases in health care insurance penetration, increases in private and public health care expenditure and rising consumer awareness will shape the future of the health care sector in India for the coming decades. Total spending on health care has increased at double-digit rates and accounted for 4 percent of GDP in 2013. However, government spending still remains low at 1.3 percent of GDP, making private expenditures as high as 2.7 percent of GDP in 2013.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

And I immediately think they will die irrelevant.

This article discusses a far more general version of the technique described in our article The best kept secret about regression. Here we adapt our methodology so that it applies to data sets with a more complex structure, in particular with highly correlated independent variables. Our goal is to produce a regression tool that can be used as a black box, be very robust and parameter-free, and usable and easy-to-interpret by non-statisticians. It is part of a bigger project: automating many fundamental data science tasks, to make it easy, scalable and cheap for data consumers, not just for data experts. Readers are invited to further formalize the technology outlined here, and challenge my proposed methodology.

Our First meetup will be focused on H2O, an open-source Machine Learning Platform. It will take place the CIC on Milk Street in Boston.. the Date is set for 5/12 at 6:00PM. NOTE: Bring Laptops if you want to partake in hands on demo. This workshop will provide an overview of how to use H2O, the scalable open source machine learning library, from Python/R/Flow UI. The core algorithms of H2O are implemented in Java, however, fully-featured APIs are available in R, Python, Scala, and also through the Flow UI web interface.