The term "data science" was first used by the statistician William H. Cleveland in his 2001 paper entitled, "Data Science: An Action Plan for Expanding the Technical Areas of the field of Statistics". Cleveland emphasized that the "[results in] data science should be judged by the extent to which they enable the analyst to learn from data". The scientific discipline of learning from data has been happening for centuries before the term data science ever came into being. Statisticians have been collecting, processing, analysing, visualising and interpreting vast amounts of diverse data to generate models. In doing so, they developed many algorithms that are used for regression and classification such as GLM (Generalised Linear Modeling) and embedded in statistical packages such as SAS and SPSS that are used extensively to this day.

After setting their conquest to saffronise Bharat in motion, Rashtriya Swayamsevak Sangh chief Mohan Bhagwat is all set to make an international debut and take the sangh global. I can exclusively tell you that Bhagwat and RSS all-India join...

SoundCloud is built for discovery; for the magic moment when you're blown away by an artist you've never heard before. Connecting listeners to new artists and artists to new listeners is what we do. Today we're excited to announce that we've started rolling out our newest discovery feature, Suggested Tracks, across all SoundCloud platforms. It uses your listening activity to automatically find new tracks and artists – ones that you've likely never heard before, but are similar to the things you already know and love. And with 125 million tracks and counting on SoundCloud, there's always more to discover.

Artificial intelligence is expected to revolutionise the financial services industry with an unprecedented depth and breadth of insight and the ability to act on information and learn from its actions. However, many executives acknowledge a degree of risk surrounding the use of AI, according to a research from global law firm Baker & McKenzie. Trading, financial analysis and IT are expected to be changed the most over the next three years according to respondents, but the impact is expected to be wide ranging with machine learning to affect risk assessment, credit assessment and portfolio management. Survey respondents were clear that machine learning will have a positive impact on competitiveness in financial markets yet believe the most negative effects of AI will be in the makeup of the work force and market stability. Like with all technology, the introduction of AI in financial services will largely depend on how it is employed that will ultimately determine the risk and reward. It also raises important questions and concerns about the liability of a functioning AI platform.

The digital world is getting smarter. Your customer engagement options need to get smarter, too, in order to thrive in digital. This is where AI (Artificial Intelligence) and predictive analytics come in. Just like peanut butter and jelly, Digital and AI combine to create "wow"--across the entire experience chain, including the business, frontline agents, and ultimately the end-customer. Reserve your seat for this game-changing day, so you can get on the fast track to digital domination!

Computer programs can already match judges in decision-making, a conference highlighting the growing use of artificial intelligence in law heard last night. A poll of more than 300 attendees at the Law Society's Robots and Lawyers conference found that 48% of respondents' firms already use some form artificial intelligence (AI) -- though only 4% agreed that lawyers will eventually be replaced by robots. However, research conducted by the University of Liverpool suggests a decision-making algorithm could be as effective at dispensing justice as a judge. Professor Katie Atkinson (pictured), head of the university's department of computer science, said the university had researched whether its computer programs could replicate the reasoning that judges go through. Looking at'a body of case law' covering 32 cases, the programs had a 96% success rate and got only one case wrong, she said.

A curated list of resources dedicated to recurrent neural networks (closely related to deep learning). Please feel free to pull requests, email Myungsub Choi (cms6539@gmail.com)

Here's the tech news you need to know this Thursday. The deal will help Google expand its service into dense, urban areas like apartment buildings with multiple units. The company, which provides phone and text-message services to app developers, is now valued at 1.23 billion ( 833 million), beating the company's last private valuation of around 1 billion ( 677 million). The catch is that employees and "certain" ex-employees are eligible for the buyback offer only if they agree to a variety of conditions, including no talking to the media. The research supports the theory that AI is the next major revolution in computing.

Recently found a post by Ali Syed on topic; "Europeans unconvinced by big data in general". This study was conducted for the Vodafone Institute for Society and Communications by Kantar-owned market researchers TNS Infratest. It analyses over 8,000 individuals across eight European countries and offers valuable insight into people's perceptions of big data and analytics Still there are people or groups don't believe that we are living in the age of Big Data. Other way round we can say they think Big Data is just a hype created by technology people. To me the concept of Big Data is not new.

IBM Watson, the distributed natural language processing platform, isn't the only advanced system available, but it's the highest-profile and arguably the most sophisticated. It's also important to recognize how shrewdly Watson is being marketed. Even before Watson was Watson, IBM was adept at generating publicity for its futuristic computing activities. Most famously, Big Blue beat world chess champion Garry Kasparov in 1997. Four years later, Watson, in a form far more rudimentary than today's commercialized version, beat Ken Jennings, the human Jeopardy!