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Articles related to "team"


Code Review best practices

  • The aim of the code review is to build the team spirit, improve the code quality and collaboratively learn the best practices.
  • Make sure your CRR or commits are based on a single feature or story or bug fix.
  • Keeping multiple features or bug fixes in a single code review request will create more confusion.
  • Add everyone from the team to your code review request.
  • Send an Instant message to your team when the CRR request is sent or when the individual completes reviewing a particular request.
  • When you are reviewing, look into the code and make sure you understand what code does actually; if there is any doubts/clarification needed highlight the code and add comments for clarification.
  • The code review process is to improve the code quality and build the team spirit in a better way.

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How our AI got Top 10 in the Fantasy Premier League using Data Science

  • This will help us identify the teams that have too many expensive and under-performing players who rarely play the full 90 minutes each game due to the frequent squad rotation their coach employs, which makes them a bad investment in the long run, since they will not be generating fantasy points consistently each game.
  • That will inform our algorithm to pick more players from those teams since their players are expected to generate a higher aggregate ROI in the long run because they would be involved in a lot more game action on average compared to players from teams that use frequent player rotation.
  • Since the AVG Joe spent most of his/her budget on picking 11 very expensive players, he/she had to spend the remaining budget on the cheapest available players to fill in all the substitute positions, but none of these players can be used to generate fantasy points due to the fact that they never actually played in the real EPL games and were only used as team-fillers.

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How our AI got Top 10 in the Fantasy Premier League using Data Science

  • This will help us identify the teams that have too many expensive and under-performing players who rarely play the full 90 minutes each game due to the frequent squad rotation their coach employs, which makes them a bad investment in the long run, since they will not be generating fantasy points consistently each game.
  • That will inform our algorithm to pick more players from those teams since their players are expected to generate a higher aggregate ROI in the long run because they would be involved in a lot more game action on average compared to players from teams that use frequent player rotation.
  • Since the AVG Joe spent most of his/her budget on picking 11 very expensive players, he/she had to spend the remaining budget on the cheapest available players to fill in all the substitute positions, but none of these players can be used to generate fantasy points due to the fact that they never actually played in the real EPL games and were only used as team-fillers.

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Australians to be quarantined on Christmas Island

  • Australians trapped at the epicentre of China's deadly coronavirus outbreak will be evacuated to quarantine facilities set up on Christmas Island.
  • Prime Minister Scott Morrison announced on Wednesday emergency evacuation plans for "isolated and vulnerable" Australian citizens in China's Hubei province and the city of Wuhan, in a joint operation with the New Zealand government.
  • Mr Morrison said one million face masks would be released from a national stockpile but Commonwealth Chief Medical Officer Brendan Murphy said the risk to Australians remained “extremely low”.
  • Australians leaving China will be kept in quarantine on Christmas Island for at least 14 days.
  • Australia has upgraded its travel advice for China, warning citizens to reconsider all travel to the country and to avoid the affected Hubei province.
  • A consular team from Shanghai will set up a temporary diplomatic post in Wuhan to help coordinate departure travel for Australians there.

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How our AI got Top 10 in the Fantasy Premier League using Data Science

  • This will help us identify the teams that have too many expensive and under-performing players who rarely play the full 90 minutes each game due to the frequent squad rotation their coach employs, which makes them a bad investment in the long run, since they will not be generating fantasy points consistently each game.
  • That will inform our algorithm to pick more players from those teams since their players are expected to generate a higher aggregate ROI in the long run because they would be involved in a lot more game action on average compared to players from teams that use frequent player rotation.
  • Since the AVG Joe spent most of his/her budget on picking 11 very expensive players, he/she had to spend the remaining budget on the cheapest available players to fill in all the substitute positions, but none of these players can be used to generate fantasy points due to the fact that they never actually played in the real EPL games and were only used as team-fillers.

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Poll: 75% of voters want witnesses for Senate impeachment trial

  • In his unpublished manuscript, Bolton writes Trump told him in August that he was withholding $391 million in aid until Ukraine announced a probe into the Bidens, according to The New York Times.
  • The poll shows 20% of registered voters do not want witnesses called at the trial.
  • Almost half of registered voters (47%) want the Senate to remove Trump (48% not), the same as a poll taken earlier this month.
  • Trump's attempts to pressure Ukraine to investigate Hunter Biden and Joe Biden, his potential political rival, are at the center of the President's impeachment trial.
  • Trump's approval rating holds steady -- 43% approve and 52% disapprove, the same as in January and December.
  • Senate Majority Leader Mitch McConnell's approval rating has ticked down very slightly to 33% approve and 50% disapprove after a recent high earlier in January at 36% (from 24% in October 2019).

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How analytics maturity models are stunting data science teams

  • A strong reason why teams get bogged down at the lower end of the maturity model is that management paradigms that make descriptive and diagnostic analytics effective may be a death knell for predictive and prescriptive work.
  • As an example, if I am building a machine learning model for predictive maintenance, and find that the available data carries no useful signals, failing after two weeks of experimentation on a laptop is much better than failing with a six month budgeted project and a team of ten.
  • To recap: a primary way maturity models damage teams is when companies take the methods of management that worked for delivering descriptive analytics solutions, and impose them on advanced analytics work without modifying the approach to account for data uncertainty.
  • It requires mature processes that acknowledge data uncertainty, safe spaces to experiment to de-risk advanced analytics work, proper model operations post go-live and financial models that are tailored for products instead of projects.

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How our AI got Top 10 in the Fantasy Premier League using Data Science

  • This will help us identify the teams that have too many expensive and under-performing players who rarely play the full 90 minutes each game due to the frequent squad rotation their coach employs, which makes them a bad investment in the long run, since they will not be generating fantasy points consistently each game.
  • That will inform our algorithm to pick more players from those teams since their players are expected to generate a higher aggregate ROI in the long run because they would be involved in a lot more game action on average compared to players from teams that use frequent player rotation.
  • Since the AVG Joe spent most of his/her budget on picking 11 very expensive players, he/she had to spend the remaining budget on the cheapest available players to fill in all the substitute positions, but none of these players can be used to generate fantasy points due to the fact that they never actually played in the real EPL games and were only used as team-fillers.

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8 Top Engineering Management Books

  • In this book, author Camille Fournier takes you through the stages of technical management, from mentoring interns to working with the senior staff.
  • Drawing on Lopp's management experiences at Apple, Netscape, Symantec, and Borland, this book is full of stories based on companies in Silicon Valley where people have been known to yell at each other.
  • A fundamental software engineering project management guide based on the practical requirements of "Taming Wild Software Schedules".
  • This book emphasizes possible, realistic and "best practice" approaches for managers, technical leads and self-managed teams.
  • Whether you are new to software management, or have already been working in that role, you will appreciate the real-world knowledge and practical tools packed into this guide.
  • Also not a book, but a series of conferences and meetups around the world focused around the wants and needs of technical team leads.

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Alan Dershowitz says Elizabeth Warren 'doesn't understand the law' after she criticizes his presentation

  • Last week, Trump's legal team slammed House Judiciary Chairman Jerry Nadler, a New York Democrat who is one of the House impeachment managers, for accusing Republican senators of being complicit in a cover-up of Trump's behavior by voting against having witnesses.
  • On Friday, GOP senators themselves reacted negatively to Rep. Adam Schiff, a California Democrat who's the lead impeachment manager, quoting from a news report that stated a Trump adviser had told Republican senators they would face dire repercussions for crossing the President.
  • Trump was especially fixated on having Dershowitz, a controversial defense attorney, on his legal team but Dershowitz had been telling his own associates he didn't want to participate in the trial, a source who is familiar with these conversations told CNN.
  • White House officials had applied a lot of pressure over the last several weeks to convince Dershowitz to join the team, sources familiar with the attorney's appointment said.

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