Goals1-0, 30 ‘: Lucas Tousart As expected, the tables changed in the second half. Juventus was forced to advance lines, and Rudi García, showing off his defensive label, delayed the team about 20 meters to tie the result. It was no longer the Lyon of the first half that reached all duels and attacked the backlash with great sufficiency.The match began to be in the boots of Paulo Dybala. The Argentine had been missing in the first half, but with a much more dominating Juventus, began to appear between the lines and punish Lyon. A side center ended up in his boots, but the shot went off touching the post. Virtually every occasion of Sarri’s started from him.In the final minutes, lJuventus squeezed more than normal, but Lyon contained all the rush of the Italians. Cristiano Ronaldo requested a penalty from Denayer, but the Belgian collided shoulder to shoulder with the former Madrid. Gil Manzano annulled a goal from Dybala almost at the end for offside and Lyon ended up surprising Juve. ChangesRamsey (61 ‘, Pjanić), Martin Terrier (65 ‘, Karl Toko Ekambi), Higuain (69 ‘, Square), Tete (77 ‘, Dubois), Federico Bernardeschi (77 ‘, Rabiot), Joachim Andersen (80 ‘, Cornet) CardsReferee: Jesús Gil ManzanoVAR Referee: Juan Martínez MunueraMarcelo (27 ‘, Yellow) Cornet (60 ‘, Yellow The Lyon of the great European nights has returned. The set of Rudi García surprised Juventus with a lonely goal from Lucas Tousart, and faces the return with advantage in a tie that started as one of the most unequal of all the round of 16.The clear favoritism of Juventus was evident in the absence of an hour of the game with the eleven of Lyon. Rudi García decided to bet on a defense of three centrals to stop Dybala and Cristiano, with the novelty of Guimaraes, who debuted in the Champions League forming the double local pivot with Tousart. For its part, Sarri lined a 4-3-3, with the inclusion of Rabiot in the center of the field and with Square on the right side to defend the area of influence of Aouar in the left sector of Lyon.It mattered little that Juventus came as a Series A leader and that Lyon was in low hours. The Champions does not understand performance in local competitions, and that was demonstrated again in today’s game. Although Sarri’s dominated the first ten minutes, enclosing a fairly passive Lyon, as the minutes passed, the French team broke loose and began to believe that it could defeat a superior rival. Cristiano warned with a poisoned center-chut in the first minutes, but it was a mirage.The good work of Lyon, with a system of three centrals that plugged the sides of Juventus on the ball, found its fruits in the 31st minute. Aouar, a player who the fan asks for a step forward in the big appointments, made a play mark of the house on the left and attended Tousart. The midfielder of Lyon, so criticized in recent months, marks for the second consecutive year in the second round, after having already scored Barcelona last season.The nerves began to settle in Juventus, unable to draw a single danger attack, beyond two Cristiano Ronaldo centers. In fact, Olympique de Lyon found a highway on the right side. Dubois, right lane, always received brand free, and Alex Sandro, very pressured at the start of the ball, did not receive a single help from Rabiot. There, both the side of Lyon and Toko-Ekambi, signed two clear occasions before the break, but the former Villarreal could not score when shooting high two shots could well have carried more danger on the goal defended by Szczęsny.
There are a number of published datasets available on the web for developers and researchers to take advantage of, experiment with, and build interesting solutions from. However, just because a dataset is open and available doesn’t mean it will necessarily be useful. To make data more accessible and beneficial to the industry, Google has committed to sharing its data responsibly and is sharing insights on how others can do the same.The company has released more than 50 open datasets for researchers, including YouTube 8M, the HDR+ Burst Photography dataset, and Open Images. “Sharing datasets is increasingly important as more people adopt machine learning through open frameworks like TensorFlow,” Google wrote in a post. “Just because data is open doesn’t mean it will be useful, however.”To address this, Google worked to clean up those datasets and turn them into a machine-readable format in order to make them useful. “Cleaning a large dataset is no small feat; before opening up our own, we spend hundreds of hours standardizing data and validating quality,” the company wrote. Next, it worked to make data findable and useful with its Dataset Search tool. “It’s not enough to just make good data open, though- — it also needs to be findable,” according to the company. Dataset Search helps researchers find data sources that are hosted in different locations. In the few months since the tool has been launched, the number of unique datasets on the platform has doubled, with new contributions form the National Institutes of Health, the Federal Reserve, the European Data Portal, and the World Bank.Google also launched Data Commons, which is a knowledge graph of data sources that lets users treat various datasets of interest—regardless of source and format—as if they are all in a single local database,” Google explained. The goal of Data Commons is to reduce the amount of time spent analyzing data across multiple sources, the company explained.It is also working to balance the benefits of sharing data with the potential trade-offs. For instance, Google said data openness may enable uses that don’t align with Google’s AI principles or can expose user proprietary information, causing privacy breaches. Google has tackled this with published search trends, federated learning, and differential privacy.“We hope that our efforts will help people access and learn from clean, useful, relevant and privacy-preserving open data from Google to solve the problems that matter to them. We also encourage other organizations to consider how they can contribute—whether by opening their own datasets, facilitating usability by cleaning them before release, using schema.org metadata standards to increase findability, enhancing transparency through data cards or considering trade-offs like user privacy and misuse,” Google wrote.