But if, as they say in this electoral season, you're looking to "grow your base," exercising emotional intelligence -- expressing empathy, checking your emotions in a bid to avoid conflict, and investing in personal relationships -- is a strategy that beats narcissism over the long term. A new exploration of how we make friends and influence people rigorously measured the emergence of popularity in small groups -- first-year college students organized into 15 study groups of about 20 in Poland. In the first week of their assignment to a group and then again three months later, 170 of the freshmen named the person or people they most liked in their group. Upon recruitment into the study, each participant completed standard inventories assessing their narcissistic personality traits and gauging their emotional intelligence. The findings: When a group of strangers is thrown together, individuals who score high on narcissism enjoy an early surge of admiration, recognition and friendship among their peers.

Though it's an integral part of a properly functioning managerial relationship, feedback remains a sticky subject for many whose jobs require them to provide it. Some fear the backlash that may result, others worry that it may jeopardize their career, and still others fret that their feedback is getting completely ignored. In fact, a recent study by VitalSmarts found that 83% of employees have witnessed a colleague say something that has had a negative impact on their careers, something the study's authors referred to as "suicide by feedback." On the other hand, regular feedback is vital for employee engagement, which can lead to profitability and productivity increases of more than 20%, according to a 2014 Gallup Poll. So how can managers get over their fear of the repercussions while keeping their employees engaged?

"Modern Machine Learning is devoted to deriving value from data, not jamming the airlocks." The above quote from Arthur C. Clark's HAL 9000 vision is about to become a reality, thanks to Big Data enabled Machine Learning (ML). With modern computers exhibiting exceptional performance and storage devices being available within easy budgets, global businesses are increasingly indulging in Machine Learning models to tackle the petabytes of Big Data. In the recent years, Machine Learning solutions have brought Big Data to the mainstream business workflow. Big Data has signaled a new era of information, where by credible estimates, about 50-75 billion connected devices have entered the daily lives of people.

Microsoft is quickly pivoting to position itself as a leader in artificial intelligence. In his second keynote on the subject this year, CEO Satya Nadella yesterday (Sept. Quartz caught up with Nadella after he hopped off stage, to talk about the progress of his quest to make machines that assist humanity in a transparent way. You started talking earlier in the year saying we need to create transparent machines, ethical machines, accountable machines. What has been done since then, what is concrete?

This complimentary business course is designed to help demystify artificial intelligence, provide an overview of a wide range of cognitive technologies, and offer a framework to help you understand the business implications of AI and cognitive technologies.

I'm currently working my way through the book Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian & Tom Griffiths, which deconstructs many key life decisions into algorithms that can lead to optimal decision-making. As it cogently reviews many basic concepts using a wide range of life examples, I can see many ways in which machine learning techniques could sift through mountains of clinical data on cancer patients to help guide our management decisions in ways that elude the limitations of human brains. Oncologists work with patients to weigh decisions about whether a treatment with partial benefit (limited shrinkage of a cancer or even modest progression) is good enough to continue treatment and when a stronger choice is to change treatment approaches. When is is the expected benefit of more of the same, likely with a discount from diminishing returns, less than the anticipated or unknown benefits of the next alternative therapy? A well honed algorithm should be able to follow the growth kinetics of a cancer on scans and predict when it's time to change horses.

Even before production began on "Fences" in April, many awards season pundits already had the film's stars on their lists of likely Oscar nominees. On Tuesday, we got to see why, when Paramount Pictures put out the first trailer for the movie starring Viola Davis and Denzel Washington, who also served as the film's director. Of course, the Broadway production of "Fences" has long been a critical darling. August Wilson, who wrote the play and adapted it for the big screen, won a Pulitzer Prize for his work in 1987. That year, "Fences" also swept the Tony Awards, winning for best play, direction, featured actress (Mary Alice) and leading actor (James Earl Jones).

Model ensembling is a very powerful technique to increase accuracy on a variety of ML tasks. In this article I will share my ensembling approaches for Kaggle Competitions. For the first part we look at creating ensembles from submission files. The second part will look at creating ensembles through stacked generalization/blending. I answer why ensembling reduces the generalization error. Finally I show different methods of ensembling, together with their results and code to try it out for yourself. This is how you win ML competitions: you take other peoples' work and ensemble them together." The most basic and convenient way to ensemble is to ensemble Kaggle submission CSV files. You only need the predictions on the test set for these methods -- no need to retrain a model. This makes it a quick way to ensemble already existing model predictions, ideal when teaming up. Let's see why model ensembling reduces error rate and why it works better to ensemble low-correlated model ...

Though it's an integral part of a properly functioning managerial relationship, feedback remains a sticky subject for many whose jobs require them to provide it. Some fear the backlash that may result, others worry that it may jeopardize their career, and still others fret that their feedback is getting completely ignored. In fact, a recent study by VitalSmarts found that 83% of employees have witnessed a colleague say something that has had a negative impact on their careers, something the study's authors referred to as "suicide by feedback." On the other hand, regular feedback is vital for employee engagement, which can lead to profitability and productivity increases of more than 20%, according to a 2014 Gallup Poll. So how can managers get over their fear of the repercussions while keeping their employees engaged?

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