The MoS revealed Russia drugs cheats four years ago and. Manchester City star Raheem Sterling says his next transfer will take him abroad as he rules out Arsenal.

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Manchester United No 2 Sergio Romero eyes January exit amid fears for Argentina place at 2018 World Cup Liverpool boss Jurgen Klopp admits his 'Fab Four' of Mohamed Salah, Sadio Mane, Phillipe Coutinho and.

Manchester City under Pep Guardiola look more like a Sir Alex Ferguson team than Jose Mourinho's United Arsenal to move for Paris Saint-Germain youngster Goncalo Guedes while Arsene Wenger lines up a fresh bid. How could they be that stupid.

Anthony Yarde inflicts fourth-round stoppage on Nikola Sjekloca to extend undefeated record to 14-0 Daniel Dubois devastates bloodied veteran Dorian Darch with his SIXTH second-round knock out How can Margaret Court say she spreads love when she is stoking so much division, dismay and anger.

Manchester United v Manchester City: Your ultimate derby stats guide Jose Mourinho accuses Manchester City of strategic fouling as United boss draws attention to tactical ploy.

Jose Mourinho plots a way for Manchester United to cope in City derby without talisman Paul Pogba Jose Mourinho questions whether Pep Guardiola should be allowed to wear yellow ribbon supporting jailed. Advised by email with between 30 and 40 bets per month, normally each way in outright win market. As with all services from this publisher the website offers full details of what is being offered including the ability to download past results.

On signing up you receive a welcome email confirming you are in and you then just have to await the weekly advice of selections which normally arrive on Tuesday morning.

A betting bank of 200 points is recommended with the staking advised individually. So far there have been 1 or 0. There is no analysis of the tournament merely advice of the bets recommended. The bank is showing a loss of 16 points which is not unusual for golf betting where the really lucrative winners can be few and far between. There is one ante post advice for the US Open live at the time of writing.

Very early days here as you must take a long term view if you are going to operate in the golf betting markets. The service operates professionally and has not given any cause for concern so far. We will update in June but even then a longer period is likely to be needed to form a proper opinion on potential. Golf Betting Expert ResultsA rather bleak second month of the trial with just two sets of place money to stem the losses which now stand at 112 points.

As we are only given the selections and odds it is difficult to get a feel for how the service is thinking. The service emails always quote the profit since proofing was started but imply this is since the general public were invited to join the service. This seems a little misleading as so far it is unlikely that subscribers have seen a positive return.

Four months is still a relatively short timescale for golf betting but an upturn is needed sooner rather than later now. Golf Betting Expert ResultsTags: Betting Gods Ltd, Darren MooreCategory: Betting, Sport, Sports Betting Tipsters, Tipster ServicesYou must be logged in to post a comment.

Not yet a member.If they respond positively and offer more information or feedback, continue the conversation. As it comes to a close, ask them for the review. We love sharing that kind of stuff with potential customers so they can feel more comfortable with choosing us. However, if you have a self-proclaimed satisfied customer (ideally if they express gratitude for your help), this is a great time to ask for a review.

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Let them know by writing a review. Other business owners understand the value of a review, and leaving one on their website or listing may be enough to get one from them without even asking. However, there are opportunities to ask for reviews from them as well.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.

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. The words from a given topic have different probabilities for that topic. At the same time, each word can be attributable to one or several topics.

So for example the word "sea" may be found in a topic related with sea transport but also in a topic related to holidays. Topic model automatically discards stopwords and high frequency words that occur in almost all of the documents as they don't help to determine the boundaries between topics. Topic model's main applications include browsing, organizing and understanding large archives of documents. It can been applied for information retrieval, collaborative filtering, assessing document similarity among others.

The topics found in the dataset can also be very useful new features before applying other models like classification, clustering, or anomaly detection. Topic model returns a list of top terms for each topic found in the data. Note that topics are not labeled, so you have to infer their meaning according to the words they are composed of. By looking at each group of terms below we can interpret the first topic as regulatory related, the second as healthcare related and so on.

You can obtain up to 128 different topics. Once you build the topic model you can calculate each topic probability for a given document by using Topic Distribution. This information can be useful to find documents similarities based on their thematic.

You can also list all of your topic models. Specifies a list of terms to ignore when performing term analysis. This can be used to change the names of the fields in the topic model with respect to the original names in the dataset or to tell BigML that certain fields should be preferred.

All text fields in the dataset Specifies the fields to be considered to create the topic model. If multiple fields are given, the text field values for each row will be concatenated so that each row is still considered to be one document. If it is unset, it will be chosen automatically based on the number documents (i.

The minimum value is 2 and maximum value is 64. Example: "MySample" tags optional Array of Strings A list of strings that help classify and index your topic model.

Computation is linear with respect to this parameter. The minimum value is 128 and maximum value is 16384.The second-year defensive lineman was off to a very strong start this year before suffering a broken hand in Week 8 against the Cowboys. He was out of the lineup for the next two games and since then he has been practicing and playing with his left hand in a large, club-like cast. On Thursday, he practiced with less protection on the injured hand, a setup that allowed him to use both of his hands.

Those are important assets when it comes to shedding blocks and making effective pass-rush moves. Just not quite as good as he would without it. With two usable hands, he had 3. Since then, he has played in five games without a sack. Edge rusher Preston Smith had 4. That internal pass rush is hard to replace, quite frankly.

Philip Rivers is not a mobile quarterback but he has been sacked only 13 times this year. If a less-encumbered Ioannidis can pick up his game, Smith and Ryan Kerrigan could disrupt the comfortable pocket in which Rovers has been able to operate. Sign up 10 commits 1 branch 0 releases Fetching contributors Jupyter Notebook 56. At launch, the platform will cover the four major US sports (Football, Basketball, Baseball, Hockey), Soccer and Tennis.

Moreover, the models provide stats to measure the performance of the algorithm for the current season (for each sport) along with bankroll comparaison stats with bookmaker (scraping from the oddsportal's website to do so). Here's below an image from the mobile app propotype based on the platform. This is contrary to another popular method of representing the teams as the favorite and underdog. The point differential is chosen to be positive when the home team scores more points than the away team.

To represent the difference between the two teams that are playing in the matchup, the ratio or the difference between the same attributes are taken between the two teams. Therefore, when attributes are a positive indicator of performance, a value greater than 1 indicates that the home team performs better for that particular attribute.

Examples of this are win streak, compared to statistics such as points per game that would be compared by taking the ratio. Web Scraping The data is scraped from several websites according to each sport using Python and the Selenium and BeautifulSoup (only for MLB data) packages for Python. Data sources for each sports are described in the "Link" section. Game stat data, team stat data, and datetime data are merge later into a feature file (.

In the same scripts, After having obtained the raw data set, data is cleaned throughout the script. The script checked the completeness and validity of all the data files, and eliminated any CSV parsing errors or erroneous data values.

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Here is the main idea: Having validated all our available data, the script then proceeded to load the data from the csv files into an SQL database using the SQLite single-file database engine and a few Python scripts. The flexibility of SQL queries allowed one to easily perform complex joins and merges between multiple tables via the the script. Thus, the script converts the clean scraped data to data structures that the libraries in scikit-learn can easily use.

The ultimate result of the routines included in this file is a numpy array containing all the features and game results for the historical game data. The features have not been normalized but the next script provide one the ability to easily normalize or standardize the data.

Algorithm Tuning and Running This step is located in the "RunModelLeague. A logistic regression predictive model with the L1 penalty is created. Analysis of results are output to csv files. Then, webscraping (through the ScrapeMatchupDatetimeOddsTwoChoicesLeague. Thus, the final output give additionnal detail such as odds for both home and away teams, the choice of the bookmaker (e.

Here's below an example of the final output for the Ligue 1 soccer league.This is because the pool results in many students (938 in the case of the 2017 cycle, about 21 per cent of all offers made) receiving an offer from a College other than the one they applied to, or were allocated to through the open application system. NB: 'admissions cycle' refers to the UCAS Apply cycle in which applications are considered, eg '2017 cycle' refers to applications made from September 2016 onwards for admission to courses starting in October 2017 or by deferred entry for courses starting in 2018.

Please note the source data for these graphs was last refreshed on 22 November 2017. Use our interactive graph generator below to view basic undergraduate application and admissions statistics using criteria that you define.

Simply select from the options in the form below and click 'Show graph'. Detailed statistics from previous admissions cycles (up to 2010) are available in the Cambridge University Reporter Special Issues. Facilities and resources Subjects CollegesColleges overview What is a College. Choosing a College College open days College contacts Area linksArea links overview East MidlandsEast Midlands overview Derby Derbyshire Leicester City Leicestershire Lincolnshire Northamptonshire Nottinghamshire Rutland East of EnglandEast of England overview Bedfordshire Cambridgeshire Essex Hertfordshire Luton Norfolk Peterborough Southend-on-Sea Suffolk Thurrock Greater LondonGreater London overview Barking and Dagenham Barnet Bexley Brent Bromley Camden City of London City of Westminster Croydon Ealing Enfield Greenwich Hackney Hammersmith and Fulham Haringey Harrow Havering Hillingdon Hounslow Islington Kensington and Chelsea Kingston Lambeth Lewisham Merton Newham Redbridge Richmond Southwark Sutton Tower Hamlets Waltham Forest Wandsworth North EastNorth East overview Darlington Durham Gateshead Hartlepool Middlesbrough Newcastle North Tyneside Northumberland Redcar and Cleveland South Tyneside Stockton-on-Tees Sunderland North WestNorth West overview Blackburn with Darwen Blackpool Bolton Bury Cheshire Crewe Cumbria Halton Knowsley Lancashire Liverpool Manchester Oldham Rochdale Salford Sefton St Helens Stockport Tameside Telford and Wrekin Trafford Warrington Wigan Wirral Northern Ireland Scotland South EastSouth East overview Bracknell Forest Hampshire Kent Maidenhead Medway Milton Keynes Oxfordshire Portsmouth Slough Southampton Surrey Sussex Windsor Buckinghamshire Reading West Berkshire Wokingham South WestSouth West overview Bath and North East Somerset Bournemouth Bristol Cornwall Devon Dorset Gloucestershire North Somerset Plymouth Poole Somerset South Gloucestershire Swindon Torbay Wiltshire WalesWales overview North Wales and Ceredigion South Wales and Powys West MidlandsWest Midlands overview Birmingham Coventry Dudley Herefordshire Sandwell Shropshire Solihull Staffordshire Stoke Walsall Warwickshire Wolverhampton Worcestershire Yorkshire and HumberYorkshire and Humber overview Barnsley Bradford Calderdale Doncaster East Yorkshire Huddersfield and Kirklees Kingston-upon-Hull Leeds North East Lincolnshire North Lincolnshire North Yorkshire Rotherham Sheffield Wakefield York FinanceFinance overview Tuition fees Living costs Financial supportFinancial support overview Government financial support Cambridge financial support Students from England Students from Scotland Students from Wales Students from Northern Ireland Students from the EU Music awardsMusic awards overview Choral awardsChoral awards overview Which Colleges have Choral Awards.

Are there any restrictions. Can I join when I arrive at Cambridge. How do I apply. Pooled applicants What will happen at the audition. Aural tests for choral award auditions Information from the Colleges How can I find out more.

Cambridge Choral Experience Instrumental awardsInstrumental awards overview What instruments are eligible. What happens at the audition. Organ scholarshipsOrgan scholarships overview Which Colleges have Organ Scholars. What vacancies are there for entry in 2018 and 2019. When do the auditions and interviews take place.

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About research at Cambridge. Statistics is a dynamic discipline that aims at the development and application of methodologies for inference and data analysis for science, medicine, business and society. A current challenge facing the field is Big Data and the exponential growth of data being generated worldwide that await analysis.

A consequence is that the demand for skilled statisticians has been steadily rising. Statistics uses tools from mathematics, probability and computing to develop specific statistical approaches for prediction, classification, learning, estimation and hypothesis testing.

UC Davis Statistics faculty pursue vigorous research programs at the forefront of current developments and engage in a large array of interdisciplinary collaborations. Department faculty are committed to provide students with excellent training and a broad education in Statistics.While all resumes should provide information on your work and education experience, as well as your skills and accomplishments, there are different ways to present this information.

Review the following templates that fit a variety of employment situations for inspiration for writing your own resume. Remember, your resume needs to impress the hiring manager enough so you get the interview.

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That means it needs to be perfect. Review these samples below for help handling specific situations, such as a career or a name change. The resume of an entry-level employee generally looks quite different from the resume of a mid-career professional.

Review examples of both. My articles, Build a Resume in 7 Easy Steps and Top 10 Resume Writing Tips, help to take the mystery out of the process and will give you the tools you need to present yourself, your experience, and your job skills in the very best light. Choose the Right Resume for Your Work ExperienceBefore you start writing your resume, choose a type of resume that highlights your strengths and achievements, review what information to include in your resume and examples of each part of a resume, and then select a typical resume format.

Wherever you go, and whatever you do, you see messages designed to get you to perform a specific action and distract you from the fact that you are already whole. The responsibility is in your hands. Staying in the present moment can dramatically reduce stress, increase your happiness, and give you bursts of insight that might change your life.

You and I, we both have our unique tendencies that distract us from the present moment. These questions will help you become more mindful about what is going on in your head, which in turn leads to mindfulness. A great tip is to write down your tendencies and how they tease you out of the now. Grab a piece of pen and paper, and just do it.

Practice acceptance and embrace who you are. The tendencies you have are there for a reason. They are signposts pointing to the areas of your life that need attention. Become mindful, observe your thoughts, and breathe. Our thoughts are just thoughts. Your breath is a powerful and simple way to anchor yourself in the present moment. Whenever you are having a hard time staying in the now, take deep breaths, and focus on your breathing.

You could even count your breaths. Something I like to do is count to four on the inhale and four on the exhale.

It focuses the logical part of my brain on counting and allows me to focus on my breath. After a while I can release the crutch of counting and just be.

In fact, they are rarely right, especially if they make you feel bad. Question your thoughts constantly. When you start to feel negative emotions, use it as a reminder to examine what thoughts are causing the commotion.

Most people walk around all day letting negative thoughts cause negative feelings. We both know that nothing good can come out of this. It takes discipline to be mindful, but the rewards are peace and happiness. Even researchers are discovering the power of emotions. Negative emotions not only have the power to make you feel bad, but can affect your physical health as well.

Another great way to stay anchored in the now is to use reminders. It can be as simple as tying a white string around your wrist. Each time you look at the white string, you are reminded of the present moment.Luxury Casino has a stylish feel to it's online gameplay. OR read our full page Luxury Casino Review. LIVE SCORES Do YOU want to follow your sports bet. Arsenal, Manchester United, Liverpool, Chelsea, Tottenham, West Ham, Man City, Wolves, Burnley, Real Madrid, Barcelona, Juventus, Bayern Munich, Ajax Amsterdam, Feyenoord, PEC Zwolle, PSV Eindhoven, Santos, Sao Paolo, River Plate, Aston Villa, Swansea, Southampton, Borussia Dortmund, Cologne, Schalke, Hertha Berlin, Paderborn, Villarreal, Atletico Madrid, Sevilla, Barnet, Wealdstone, Stockport County, Leamington, Wellington Phoenix, Brisbane Roar This site is protected by International Copyright.

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US sports are covered with Major League Baseball, NBA Basketball, NFL Football and College Football picks online as well. Vivaro Ltd is licensed and regulated by the UK Gambling Commission for provision of services to the United Kingdom.

Under 18s are strictly forbidden from gambling on this website. Underage gambling is an offenceBetbull. Vivaro Ltd is licensed and regulated by the UK Gambling Commission for provision of services to the United Kingdom under the Remote Operating License Number: 000-044662-R-324273-006. C45929, and having its registered office and business address at Luxe pavilion 2nd level, Diamonds International Building, Portomaso, St. The BetBull Rules supersede and merge all prior agreements, representations and understandings between the Account Holder and BetBull.

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