Team India has been through a lot in the past two months. They were unable to defend the Champions Trophy in a one-sided defeat to Pakistan in the final and then the controversial Anil Kumble-Virat Kohli saga dominated headlines.Things took a nastier turn when the BCCI tried to settle for a new coach in Ravi Shastri and asked for applications for the post.After what seemed like an eternity, Kohli finally managed to get his way with Shastri being announced as full time head coach, at least until the next World Cup in two years time.Shastri in turn got to pick his own team of support staff of coaches and the result in his match being a 304-run hammering of a below-par and disappointing Sri Lankan team in Galle. The attention was firmly back on the cricket being played on the field, and probably rightly so.On Saturday the hosts, chasing a mammoth 550 for victory, only managed 245 runs before their second innings folded in the final session of the penultimate day, after opening batsman Dimuth Karunaratne had been dismissed for 97.Asela Gunaratne, who had fractured his thumb and was ruled out of the series, and stand-in captain Rangana Herath, who suffered a hand injury on Friday, did not bat for Sri Lanka in the second innings.Returning to the longest format in the game, India continued their domination and finished off the game with a day to spare. The effect of a much more stable dressing room telling. The mood of the squad has been relaxed with the whole team gelling well and spending time with each other on their hard earned off-days.advertisementA day which was spent “chilling by the pool” and Kohli, Hardik Pandya and KL Rahul were prompt to put up their fun pictures on social media.Sun soaked ?#supertan #lankandiaries pic.twitter.com/qiOAhUaBOY- hardik pandya (@hardikpandya7) July 31, 2017When skipper says #selfie you pout and . #chillday by the beach ?????????? #galle @imVkohli pic.twitter.com/pXcntNc3WA- K L Rahul (@klrahul11) July 30, 2017Fun times in the sun with these boys! @imVkohli @klrahul11 pic.twitter.com/YJFodv9dI6- hardik pandya (@hardikpandya7) July 30, 2017Chilling by the pool. Good times. ? @klrahul11 pic.twitter.com/acNw9Bp0jw- Virat Kohli (@imVkohli) July 30, 2017Pandya made his debut in Galle and will look to continue his good world with bat and ball, while KL Rahul missed the first Test with a bout of viral fever but looks fit to return to the playing XI in the second match in Colombo starting on Thursday. Before the start of the first Test, BCCI had posted a video on Facebook where players can be seen having lunch, stressing how the ‘Men in Blue’ are closely monitored by nutritionists who keep a check on what they eat after and during matches and on days when they have to practice.
TVS Motor Company registered a growth of 27 per cent with sales increasing from 251,965 units in November 2017 to 319,965 units in the month of November 2018.The total number of two-wheelers registered a growth of 26 per cent with sales increasing from 243,323 units in November 2017 to 307,142 units in November 2018. Domestic two-wheeler sales registered a growth of 28 per cent from 203,138 units in November 2017 to 260,253 units in November 2018.Scooter sales of the Company grew by 43 per cent from 78,397 units in November 2017 to 111,763 units in November 2018. Motorcycle sales grew by 29 per cent with sales increasing from 93,202 units in November 2017 to 119,883 units in November 2018.The Company’s total exports grew by 24 per cent from 47,207 units registered in the month of November 2017 to 58,476 units in November 2018. Two-wheeler exports grew by 17 per cent increase from 40,185 units in November 2017 to 46,889 units in November 2018.Three-wheeler of the Company grew by 48 per cent increase from 8,642 units registered in November 2017 to 12,823 units in November 2018.TVS current product range includes scooters and motorcycles. In the scooter range, TVS sells the Scooty Pep Plus, Scooty Zest 110, Wego, Jupiter, Jupiter Grande and the sports scooter NTorq 125.In the motorcycle range, the manufacturer sells the TVS Sport, Star City Plus, the newly launched Radeon, Victor, Apache RTR 160, Apache RTR 160 4V, Apache RTR 180, Apache RTR 180 2019 Edition, Apache RTR 180 ABS, Apache RTR 180 ABS 2019 Edition, Apache RTR 200 4V, and the flagship Apache RR310.
Starting this week, with the help of basketball analytics experts Jeremias Engelmann and Steve Ilardi, we’re rolling out weekly NBA power rankings fueled by ESPN’s Real Plus-Minus player ratings. These power ratings predict how well each team will perform over the coming week of games; we’ll also list each team’s projected end-of-season win total and its odds of making the playoffs.If you want to read more about how these ratings work, scroll below the rankings.Q: What do these ratings mean?A: They represent each team’s projected per-100 possession performance — schedule-adjusted and relative to league average — for the coming week, taking into account the quality of players on each roster, as well as injuries and expected minute allocations.Q: How is player quality measured?A: Using ESPN’s Real Plus-Minus (RPM), which attempts to isolate each player’s contribution to the team’s scoring margin while on the court by adjusting for the quality of his teammates and opponents faced. While the version of RPM listed at ESPN.com is a single-season metric, these power ratings use the more predictive multiyear version of RPM.Q: Where do the rosters come from?A: ESPN’s depth charts and injury wire.Q: Who generates the projected minute allocations?A: Jeremias Engelmann, the creator of Real Plus-Minus, provides the minute projections for each team.Q: How are these different from other computer power ratings available, such as the Hollinger Power Rankings?A: Most power ratings are, to some extent or another, backward-looking; they can only generate ratings using inputs from games the team has played. Given a large enough — and relevant enough — sample of played games, this is usually not a problem. But in the case of early-season rankings, or when a team experiences roster changes midseason (via trades or injuries), it takes time for traditional power ratings to catch up to the team’s new quality.These RPM power ratings, however, are based on the talent of the players on hand for each team. The advantage of this approach is that when a player is added to or subtracted from a team, a talent-based rating can adjust immediately, without waiting for new games to be played. In other words, injuries, trades and signings are instantly accounted for in these rankings.The other side of that coin is that, barring personnel changes, these ratings aren’t going to change drastically from week to week. RPM player talent estimates have a strong grounding in Bayesian statistics; and for veteran players, their prior rating carries a good deal of weight. So, while a team’s “statement win” in a given week might have a tangible effect on human or even recency-weighted computer power rankings, it’s unlikely to move the needle much with these ratings.Q: Why look at only the next week?A: The ratings can also be modified to use long-term minute projections for players who are injured but will return later in the season. For now, though, we’ve chosen to use the short-term version to get a good snapshot of where each team stands.Q: What are the projected wins and playoff odds?A: Those are generated via the aforementioned long-term RPM talent ratings, rather than the short-term numbers from the power rankings themselves. The long-term ratings are used to simulate every remaining game in the 2014-15 schedule, and the simulated results are added to the NBA’s actual standings. Expected wins are the average number of wins for the team at the end of the season across the simulations; playoff probability shows the percentage of simulations in which the team qualified for the postseason.Q: How good are these ratings?A: It’s hard to say, as this type of analysis — using aggregated player talent ratings to estimate team strength — doesn’t have a long track record. However, RPM itself (or at least its predecessor, xRAPM) is consistently the single most predictive advanced metric available to the public. And the FiveThirtyEight preseason projections, which used a similar methodology, are performing well in a prediction contest against other metrics.
Google today announced that it is stepping back from managing the Kubernetes architecture and is funding the Cloud Native Computing Foundation (CNCF) $9M in GCP credits for a successful transition. These credits are split over a period of three years to cover infrastructure costs. Google is also handing over operational control of the Kubernetes project to the CNCF community. They will now take ownership of day-to-day operational tasks such as testing and builds, as well as maintaining and operating the image repository and download infrastructure. Kubernetes was first created by Google in 2014. Since then Google has been providing Kubernetes with the cloud resources that support the project development. These include CI/CD testing infrastructure, container downloads, and other services like DNS, all running on Google Cloud Platform. With Google passing the reign to CNCF, it’s goal is to make make sure “Kubernetes is ready to scale when your enterprise needs it to”. The $9M grant will be dedicated to building the world-wide network and storage capacity required to serve container downloads. In addition, a large part of this grant will also be dedicated to funding scalability testing, which runs 150,000 containers across 5,000 virtual machines. “Since releasing Kubernetes in 2014, Google has remained heavily involved in the project and actively contributes to its vibrant community. We also believe that for an open source project to truly thrive, all aspects of a mature project should be maintained by the people developing it. In passing the baton of operational responsibilities to Kubernetes contributors with the stewardship of the CNCF, we look forward to seeing how the project continues to evolve and experience breakneck adoption” said Sarah Novotny, Head of Open Source Strategy for Google Cloud. The CNCF foundation includes a large number of companies of the likes of Alibaba Cloud, AWS, Microsoft Azure, IBM Cloud, Oracle, SAP etc. All of these will be profiting from the work of the CNCF and the Kubernetes community. With this move, Google is perhaps also transferring the load of running the Kubernetes infrastructure to these members. As mentioned in their blog post, they look forward to seeing the new ideas and efficiencies that all Kubernetes contributors bring to the project’s operations. To learn more, check out the CNCF announcement post and the Google Cloud Platform blog. Read Next Kubernetes 1.11 is here! Google Kubernetes Engine 1.10 is now generally available and ready for enterprise use. Kubernetes Container 1.1 Integration is now generally available.