Real-world examples make the abstract description of machine learning become concrete. In this post you will go on a tour of real world machine learning problems. You will see how machine learning can actually be used in fields like education, science, technology and medicine. Each machine learning problem listed also includes a link to the publicly available dataset. This means that if a particular concrete machine learning problem interest you, you can download the dataset and start practicing immediately.

Get access to everything we publish when you join VeloNews or Outside . Team Jumbo-Visma and its race clothing supplier AGU have created a limited-edition kit that will be worn during both the Tour de France and Tour de France Femmes. The new design was required because the team's typical yellow and black design is considered too similar to the maillot jaune worn by the race leader of the Tour de France. Last year the team created a bespoke kit for the Tour de France and the squad has followed suit for 2022. The Dutch team collaborated with AGU with the squad stating that its inspiration stemmed from Dutch artists Rembrandt Harmenszoon van Rijn, Johannes Vermeer, and Vincent van Gogh.

The Tour de France is one of the toughest and -- in my opinion -- most exciting sporting events in the world. Aside from the occasional rest day, it's a non-stop marathon that pushes competitors and their carbon bicycles to the limit. Lung-busting mountain climbs are punctuated with deadly descents and hard-fought sprints. Only the fittest, smartest and luckiest athletes stand a chance of winning the tour's ultimate prize: the yellow jersey. With this year's race in full swing, I recently decided to try the official video game.

PGA golfers such as four-time major champion Rory McIlroy embrace the tens of thousands of data points -- roughly 32,000 per event -- that the tour's ShotLink System has offered since 2001. "I made the decision at the end of last year to really look at my stats," McIlroy said after last week's Travelers Championship. "I think they've become very important, and I think the strokes-gained stats, whether it's tee to green or putting or around the green or whatever, I think that's been one of the biggest changes for good that we've seen in golf, because it really just lets you see how your game stacks up against everyone else." For the first time Thursday at the Quicken Loans National at TPC Potomac at Avenel Farm, three fixed, high-resolution cameras, part of the tour's upgraded ShotLink ball-tracking system, replaced the human-operated laser on every green of every hole, capturing the ball in motion as opposed to only the ball at rest. "It's the next phase of how we get the data without having to have human interaction on everything that happens," said Matt Troka, senior vice president of product and partner management of CDW, a technology partner of the PGA Tour.

PONTE VEDRA BEACH, FLORIDA – Following successful technology launches over the last three years in augmented reality and virtual reality, the PGA TOUR has unveiled Artificial Intelligence (AI) platforms to enhance broadcast and digital storytelling. Among the TOUR's primary areas of focus in AI are a Microsoft-developed Content Relevancy Engine (CRE), a smart video clipping tool and an automated story creator that all utilize data captured by ShotLink powered by CDW. Microsoft has collaborated with the TOUR to develop an application built on Microsoft's Azure cloud that can sift through nearly 20 years of statistical data collected by the TOUR's proprietary scoring system, ShotLink powered by CDW, as well as 80,000-plus hours of video in the TOUR's digital library to provide real-time statistical trends and storylines relevant to the current action. The CRE provides contextual content for television broadcasts and digital properties to enhance fan understanding of competitive situations as they occur. "The PGA TOUR strives to be a leader in sports innovation with a goal of reaching new fans globally," said Steve Evans, SVP Information Systems of the PGA TOUR.

It is impossible for a travel agent to keep track of all the offered tour packages. Traditional database-driven applications, as used by most of the tour operators, are not sufficient enough to implement a sales process with consultation on the World Wide Web. The last-minute travel application presented here uses case-based reasoning to bridge this gap and simulate the sales assistance of a human travel agent. A case retrieval net, as an internal data structure, proved to be efficient in handling the large amount of data. A usual tour package contains the flight to the destination and back, transfers from the airport to the hotel and back, board, and lodging.