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Latest commit. Git stats commits. Failed to load latest commit information. Comp View code. About McGill socs repository Resources Readme. Releases No releases published. Packages 0 No packages published. Contributors 2. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window.Bets stand in the event of a re-rack. This includes any added injury or stoppage time but does not include extra-time, time allocated for a penalty shootout or golden goal.
The exceptions to this rule are in relation to friendly matches, where all match markets will be settled based on the actual result when the game finishes (excluding any extra-time), irrespective of whether the full 90 minutes is played, and Beach Soccer where markets are specifically settled on 36 minutes play only.
Extra-Time In-Play MarketsBets are settled on the official statistics for the extra-time period. Any goals or corners that were taken or scored during regulation time do not count.
Matches Postponed, Brought Forward or AbandonedAn unplayed or postponed match will be treated as a non-runner for settling purposes unless it is played within the same week (ending on Sunday) in which case the bet will stand unless cancelled by mutual consent. If a match is rescheduled from the weekend to a Monday night for the purpose of live TV coverage then all bets on that match will stand.
Should any match be played prior to the date or kick-off time denoted then any such match may be included provided the wager is placed not later than the revised kick-off time. Any match abandoned before the completion of 90 minutes play will be void except for those bets the outcome of which has already been determined at the time of abandonment.
The market must be fully determined for bets to stand For example, first player to score or time of the first goal bets will stand provided a goal has been scored at the time of abandonment. The only exception to the above abandoned match rule, is for all South American club matches where Full-Time Result and Double Chance markets (both pre-game and In-Play) will be settled on the score at the time of the abandonment providing the relevant league allows the result to stand.
Matches not Played as ListedIf a match venue is changed (other than to the away team's ground) then bets already placed will stand providing the home team is still designated as such. If the home and away team for a listed match are reversed (e.
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We will endeavour to identify on our Website all matches played at a neutral venue. For matches played at a neutral venue (whether indicated on our site or not), bets will stand regardless of which team is listed as the home team. If an official fixture, lists different team details to those listed on our Website then bets will be void e.
In all other cases bets stand, including instances where we list a team name without specifying the term 'XI' in the name. Settlement of WagersStatistics provided by the Press Association (PA) will be used to settle wagers. Where PA statistics are not provided or there is significant evidence that the PA statistics are incorrect, we will use independent evidence to support bet settlement. Bets on a match or qualification are not affected if a team is subsequently disqualified from, or re-instated to, the competition.
Bets on players not taking part in the match will be void as will bets on first player to score where the selection comes on after the first goal is scored. All players that take part in a match will be considered runners for last player to score betting. Bets on players that do not take part in the match will be void. All players that take part in the match will be considered runners for settlement purposes. Bets where the selection comes on after the first goal is scored for that team will be void regardless of whether the selected player scores in the game.
Own goals do not count. In-Play Next GoalscorerEvery effort will be made to quote odds for all possible participants. However, players not originally quoted will count as winners should they score the next goal.Robyn Reply Bizutik says: I really like your article.
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Reply Steve Young says: Reply Dean says: Such valuable insights, thank you Steve. Reply Steve Young says: Reply Andrew Maxwell says: Thanks Steve. Reply Steve Young says: Reply 30-Day Free Trial Increase your website's conversion rate or revenues within the next 30 days. Show Me My Heatmap 30-Day Free Trial Increase your website's conversion rate or revenues within the next 30 days. Show Me My Heatmap Want to make your site better. Discover all their opinions and experiences lived during their stay in Paris.
A very short walk to main city areas. Bed and pillows are very comfortable. Easy walking distance to metros and attractions. Has great restaurants around the neighbourhood. Always clean and maintained.
Has great restaurants around the neighbourhood.
I like the location of the hotel. It is just a 3 minute walk to Cadet metro station. The handle of the main door so when it is shut, it was difficult to pull open the door.If a predicate is given without an operator or value, then any item pertaining to this field is accepted into the RHS.
Discretization is used to transform numeric input fields to categoricals before further processing.Minecraft player tracker
You can also use curl to customize a new association. Once an association has been successfully created it will have the following properties. Creating an association is a process that can take just a few seconds or a few days depending on the size of the dataset used as input and on the workload of BigML's systems. The association goes through a number of states until its fully completed. Through the status field in the association you can determine when the association has been fully processed and ready to be used to create predictions.
Thus when retrieving an association, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve.
To update an association, you need to PUT an object containing the fields that you want to update to the association' s base URL.
Once you delete an association, it is permanently deleted. If you try to delete an association a second time, or an association that does not exist, you will receive a "404 not found" response.
However, if you try to delete an association that is being used at the moment, then BigML. To list all the associations, you can use the association base URL. By default, only the 20 most recent associations will be returned. You can get your list of associations directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your associations.[Serious] 911 operators, First responders share their best Experiences on the Job - r/AskReddit
Topic Models Last Updated: Monday, 2017-10-30 10:31 A topic model is an unsupervised machine learning method for unveiling all the different topics underlying a collection of documents. BigML uses Latent Dirichlet allocation (LDA), one of the most popular probabilistic methods for topic modeling. In BigML, each instance (i. If multiple text fields are given as inputs, they will be automatically concatenated, so the content for each document can be considered as a bag of words.
Topic model is an unsupervised method so your data doesn't need to be labeled. Topic model is based on the assumption that any document exhibits a mixture of topics. Each topic is composed of a set of words which are thematically related.Poolside Hamilton (4) TRISCILLA back from 20 week spell and racing back from the city, major contender.3 900 ls crankshaft
TAN TAT TAN TRUM trial win in the 37 days since last race adds confidence and drawn ideally, could threaten. STREETS OF AVALON only just missed last start, finishing half a length back from the winner at Pakenham Park and has three placings from three runs this prep, each-way claims. POOLSIDE HAMILTON ran fifth last start at Yarra Valley on a soft track when first up and likely to get a nice run behind the speed, strong place chance. Mamzelle Murdoch (10) 1.
Another McCloud (4) 16. Moonlight Ruby (3) MAMZELLE MURDOCH has shown early speed in races to date and drops in weight, the testing material. ANOTHER MCCLOUD let-up for six weeks and placed at only start at Swan Hill, could upset.
ZANAHARY first-up after 24 week break and generally strong first-up placing at Stony Creek last attempt, in with a chance.
MOONLIGHT RUBY first-up after 55 week spell and finished a neck back from the leader at only start at Seymour, needs the breaks. Little Miss Toffee (10) 2. Gotta Be a Rokstar (15) 12.
She's Not Wanted (2) LITTLE MISS TOFFEE resumes after a 19 week spell and generally strong first-up placing at Wangaratta last attempt, commands respect. GOTTA BE A ROKSTAR first-up after 21 week break and won both trials, looks threatening. VUITTON back after 13 week break and likely to race just off the speed, quinella. SHE'S NOT WANTED finished seventh at only start at Pakenham Park but favourable draw, not the worst.
Stream Ahead (1) 8. Minnie Rocketta (8) 4. Ocean Magic (7) 3. Miss Procyon (6) Hard to split the top two picks. STREAM AHEAD first-up after 16 week break and very strong resuming winning twice when fresh, marginal top pick. MINNIE ROCKETTA has two placings from three runs this prep and placed at long odds last start at Cranbourne, must be considered.
OCEAN MAGIC resumes after an 18 week spell and comes back to race at a country level, each-way claims. MISS PROCYON resumes after a spell of 13 weeks and generally races near the speed, not the worst. Hazard Ahead (6) 3. Aurora Miss (13) 5.
Hot Power (4) 6.Abbreviated form stats first recorded 1961. Statistics is especially useful in drawing general conclusions about a set of data from a sample of the data. The branch of mathematics dealing with numerical data. Youssef January 7, 2015 Beer Countries vs. Wine Countries Clive Irving December 7, 2014 Beer Countries vs.
Russell The Truth About Woman C. Published by Houghton Mifflin. Published by Houghton Mifflin Company. Toggle navigationNavigation openNavigation closedCatalogBrowseSearchFor EnterpriseLog InSign UpCourse Languages259 results of the English of Course LanguagesEnglish2591 result of the Spanish of Course LanguagesSpanish11 result of the Chinese (Simplified) of Course LanguagesChinese (Simplified)1Subtitle Languages260 results of the English of Subtitle LanguagesEnglish26016 results of the Spanish of Subtitle LanguagesSpanish1616 results of the Russian of Subtitle LanguagesRussian16All Topics180 results of the Data Science of All TopicsData Science180119 results of the Business of All TopicsBusiness11928 results of the Computer Science of All TopicsComputer Science28You searched for statistics.
They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data. With descriptive statistics you are simply describing what is or what the data shows.45 70 cast bullet hunting loads
With inferential statistics, you are trying to reach conclusions that extend beyond the immediate data alone. For instance, we use inferential statistics to try to infer from the sample data what the population might think. Or, we use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study.
In a research study we may have lots of measures. Or we may measure a large number of people on any measure. Descriptive statistics help us to simplify large amounts of data in a sensible way. Each descriptive statistic reduces lots of data into a simpler summary. For instance, consider a simple number used to summarize how well a batter is performing in baseball, the batting average.
This single number is simply the number of hits divided by the number of times at bat (reported to three significant digits).In 2017, over 300 million smartphones will have on-board neural network machine-learning capability. Where there is connectivity, on-board machine learning may allow tasks to be done better and faster, or with more privacy. Click here to view the infographicThe great indoors: the final frontier for digital navigation.Télécharger il libro del pene felice di aaron spitz epub ebook
By 2022, at least a quarter of all uses of precision digital navigation will include an indoor leg or be for an entirely indoor journey. Growth will be stimulated by sustained improvements in the accuracy of indoor navigation over the medium term. Precise indoor navigation's potential is significant, is likely to benefit most vertical sectors, and have impacts on government, businesses and consumers alike.
Click here to view the infographicTV advertising in the US: flat is the new up. Deloitte Global predicts that US TV advertising revenue in 2017 will be flat with 2016.Free ionic 4 themes
For an industry widely thought to be following the sharply negative trend of other traditional media, flat is the new up. Although traditional TV advertising is not growing as rapidly as it used to and is losing share to digital, it still remains an important advertising medium.
Click here to view the infographicHave we reached peak tablet. In 2017, we predict that sales of tablets will be fewer than 160 million units, suggesting that we have passed the peak demand for these devices. Tellingly, there is no dominant compelling use case for these devices. Across a range of online activities, tablets have their fans, but there is no single activity where tablets are the preferred device.
Click here to view the infographicVinyl: the billion-dollar nostalgic niche. Today, for many buyers, the record has become a collectible, a memento, a proudly physical format and an expression of individuality in an increasingly digital world.
Click here to view the infographicIT-as-a-Service: the half trillion dollar 'niche'. For many enterprises, large and small, IT-as-a-Service is appealing for several reasons. It avoids significant capital expenditures and provides a predictable expense based on actual use which is easily scaled up or down, based on business needs.
Click here to view the infographicEach year, Predictions authors look back on the previous year to score how well we did with our Predictions.
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