The post 21 Must-Know Data Science Interview Questions and Answers was the most viewed post of 2016, with over 250,000 page views. For 2017, KDnuggets Editors bring you 17 more new and important Data Science Interview Questions and Answers. Because some of the answers are quite lengthy, we will publish them in 3 parts over 3 weeks. This is part 1, which answers the 6 questions below. Here is part 2 and part 3. Just before the Nov 8, 2016 election, most pollsters gave Hillary Clinton an edge of 3% in popular vote and 70-95% chance of victory in electoral college.
While football fans and labor experts ponder whether Colin Kaepernick found a smoking gun to bolster his collusion case against the National Football League, the still-unemployed quarterback is pointing to a central figure in the case: President Trump. Trump, according to the text of Kaepernick's grievance complaint, "has been an organizing force" in the joint decision by the league's 32 owners to deny the quarterback even a tryout. "Owners have described the Trump administration as causing paradigm shifts in their views toward NFL players." The complaint was originally made public by ABC News. Kaepernick may have a point, since Trump injected himself personally into the case and openly denigrated NFL players who supported Kaepernick.
Machine learning is an important part of artificial intelligence and everything that goes with it these days when it comes to creating new tech and reliable automated processes. But as a certain experiment by TheNextWeb contributor and cybersecurity expert Steve Grobman will demonstrate, humans will still be valuable for some time when it comes to cybersecurity and artificial intelligence in general. This simple process should explain things quite nicely. Grobman previously decided he would get into the world of machine learning to dabble in the field by creating models to predict the winner of the Super Bowl.
We will cover some basic principles and some advanced stuff as learning rate schedulers, custom layers and more. With them, we can build our computational graph, and compute gradients automatically later on. In PyTorch each forward pass defines a new computational graph. I hope with this post you've understood main points of PyTorch: PyTorch is the fast-growing framework with an awesome community.
The best-sellers of 2017 look on tap to be quite similar to 2016--the new iPhone 8 and 8 Plus, Samsung Galaxy S8 (both updated with new models) and low-priced merchandise priced to move, like Amazon's Echo update, streaming boxes from Amazon (a new Fire TV box), Apple TV, Google's Chromecast and Roku (which went public this week with an IPO priced at $14 a share, and valuing the company at $1.4 billion.) In Seattle this week, Amazon introduced three new Echo units, starting at $99, (down from $179) and promising better audio quality, while in San Francisco, GoPro brought reporters on seaplanes and helicopters to show how the new camera produces steadier video footage than previous models. We've all struggled to compose a finely phrased tweet in 140 characters, so news this week that Twitter was testing a way to super-size your phrases got a lot of attention. GoPro introduces steadier Hero camera.
These days, it's hard not to choose a side on every political issue--and that's especially true for the recent #TakeAKnee protests. Thanks to the dating app Hater, which helps people find love based on their mutual hatred of things, we now know which states -- or at least the tech-savvy singles in those states -- are here for athletes taking a knee during the national anthem and which are not supportive at all. The app offered its users the chance to weigh in on a variety of topics, and they've had "take a knee" in the mix for several months. They've created a map based on how people have been responding, and the results are illuminating.
Why was I looking for a good machine learning task to try out? In machine learning, the goal is to learn from data and a known outcome to predict an unknown outcome for future data. For example, if the algorithm predicts that the Washington Redskins will win 6 games next year, and they actually win 7 games, was the algorithm good? So, if we just assume that teams will win as many games next year, the actual number will, on average be /- 3.1 games away.
Viewers are more likely to be paying attention, and the clips ultimately reach a larger audience due to highlight reel replays and social media shares. First, by tuning an algorithm to look for specific entities -- in this case sponsors' logos -- cognitive technology can find and quantify brand placements in a video. With AI technology, production teams could efficiently source relevant content to integrate past segments into the current broadcast. To beat the competition, sports networks can utilize AI technology to provide an engaging viewer experience.
Viewers are more likely to be paying attention, and the clips ultimately reach a larger audience due to highlight reel replays and social media shares. First, by tuning an algorithm to look for specific entities, in this case, sponsors' logos, cognitive technology can find and quantify brand placements in a video. With AI technology, production teams could efficiently source relevant content to integrate past segments into the current broadcast. To beat the competition, sports networks can utilize AI technology to provide an engaging viewer experience.
The rise of artificial intelligence in journalism brings up many questions about the future of reporting. The dogged reporters, members of the vaunted Fourth Estate, the men and women who bring us the news stories we read every day? It's happening, and odds are that you've been reading stories created by artificial intelligence in local and world news already. Over the past year, the Post has published 850 stories from Heliograf, expanding its reach to include reporting on subject like congressional races and high-school football games.