Nika adunka uguguska wayn sawiro

Post a Comment. Naagaha waxay ugu jecelyihiin inay dhabar dhabar u seexdaan oo kaddib ninka ku kor seexdo, si daran ayay ugu raaxaysanayaan qaabkan, maxaayeelay waxaa isku dhegaya qaska ninka iyo qaska haweeneyda wuxuu ku yeelanayaa saamayn weyn culayskaas soo fuulaya farjigeeda, qaabka labaad ku soo xiga qaabkani waa inay haweeneydu ninka ku kor fariisato iyadoo si fiican ugu dhejinaysa bahalkeeda ninka bahalkiisa, qaababka kale naagaha badankooda kama helaan, naagaha qaarkooda aad bay u dhibsadaan foorarsiga, qaarna marka la foorariyo dhawaaq baa ka yeera bahalkooda oo sida dhuusada oo kale laakin wax u malaha dhawaaqaas waxaa keena aariyada galaysa marka ay meesha furanato siiba naagaha wax badan dhalay.

Posted by UnknownPublished at April 05, and have 0 comments. No comments:. Newer Post. Older Post. Waxa uusan shaki ku jirin in Ibta labada naas iyo mantiqada ku hareersan ee midibkoodu yahay Pink Iyo Brown-ka in ay yihiin goobaha ugu d Niikada Galmada iyo codka haweenka xiliga galmada socoto waxay kordhiyaan macaanka raaxada.

Nimanka ayaa la ogaaday in ay raaxo wali ah ka helaan qaylada cabaadka wadata ee loo yaqaan riinka kaasoo ay sameeyaan dumarka Xiliga loo d Ceeb ma ahan in hab waliba oo macaantaada ku heli karto gariirka galmada u sameeysohadaba galmada lagu sameeyo istaaga ayaa haween ba Salaaxista haweeneydu, kuma koobna oo qura labada naas, balse waxa loo baahan yahay in la salaaxo meelo kale oo jirka kamid ah sida; labad Gabdhaha buuran iyo kuwa dhuuban kuwee raaxo macaan?

Sida la ogyahay dadka way kala duwan yihiin dooq ahaan, dad waxay ka helaan gabdhaha buuran dadna waxay jecelyihiin gabdhaha caatada ah, la Rag badan ayaa ka sheegta waayahan inay ka gaabiyeen xagga raaxaynta xaasaskooda, laakin halkaan waan kaaga soo gudbinaynaa arrimo aad ku Waxaa uu Eebo nasiiyey dareeno kala duwan dabeecado kale duwan dhaqan kala duwan iyo Jismi kala duwan Ruux walba oo koonkani saaran waxa uu Muxuu ninkaygu iga rabaa?.

Maxaan sameeyaa si uu iiga raalli noqdo?. Ma wuxu doonayaa inan ahay qof diinta taqaan oo ku dhaqanta, mise inaa Like Saar. Powered by Blogger. Report Abuse. Contributors Unknown Unknown Unknown yo. Search This Blog. Labels all alshabaab amisom arimaha bulshada arimaha jaceylka bada soomaliya bilicda somali burcad badeed Caafimaadka cayaaraha Celeberity News dardaaran daryeel Fanka iyo Suugaanta Film foorar galmada Galmada barida Galmada dabada Guurka Haweenka ila Qosol ila tali ISIS islam j jaceyl kacsi kenya Lamaanaha Layaab News niiko Olympics rio ori qaxootiga soomalida qiso qoyska Sawiro sheeko jaceyl sheeko qosol badan sheekooyin siigada sports SWEDAN Talada guurka Talada riyooyinka Talooyinka caruurta Talooyinka galmada Talooyinka Jacaylka technology turkiyee wadani Wararka wasmada wikileaks.

Gabadh Somalia oo magaceedu yahay Sumaya Ahmed ayaa film sexy looga duubay fagaara ajnabiyiin badan buuxaan. Sumaya maaha Somalidii ugu Naagaha waxay ugu jecelyihiin inay dhabar dhabar u seexdaan oo kaddib ninka ku kor seexdo, si daran ayay ugu raaxaysanayaan qaabkan, maxaay Bishaan kuwi ugu shidan.NIKA leadership is a leadership of presence.

We are as diverse, innovative, and cutting-edge as the services we offer. Architecture, Engineering. Enterprise Technologies. Facilities Operations Management. Creative Design Lab. Toggle navigation. Staff search by employee. Bass, Joey Building Envelope Consultant. Cheng, Kevin Senior Mechanical Engineer.

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It wasn't easy to pick the Eagles in this one, especially since I picked them a week ago and was wrong. But before dinglederper name team embarked on this current two-game swing out west, I was fairly confident that they would return to Philly on Monday with a 1-1 record in those two games.

It just turns out that I picked the wrong game. Had the Birds won in Seattle, their inevitable reality check would've come this week in L.

But since that wasn't the case, I think its safe to say the Eagles will bounce back this week at the Coliseum, which will likely be filled with more fans wearing midnight green than blue and gold. I don't believe the Rams defense will be good enough to keep the Birds high-flying offense in check, so the real matchup in this one will likely be between the Eagles defense and the Rams offense. And while Goff and Wentz will be getting most of the headlines, the real difference-maker on Sunday could be Todd Gurley, who is currently on pace for over 2,000 yards from scrimmage this season.

One way the Eagles offense can help limit Gurley's damage is by getting an early lead and forcing Goff to throw on them, something they were unable to do against Russell Wilson and the Seahawks.

MORE ON THE EAGLESWeek 14 NFL predictions: Rounding up the experts' picks for Eagles-RamsFOX seeks actors to be Los Angeles Rams fans for Eagles gameMailbag: Where does Doug Pederson rank among the 2016 NFL coaching hires. Zach Ertz returns to practiceNot only will the game feature a matchup of two of the top teams in the NFC, it will also be the first head-to-head matchup between Rams quarterback (and former No.

In other words, expect a tight game on Sunday, one in which almost anything can happen. See this section for more details. Make sure to use the full path if the file is not in your current directory. As with all BigML. You can get jq here. In the Datasets Section you can learn how customize the parsing rules and other options when converting a datasource to a dataset.

Each field in your source is automatically assigned an id that you can later use as a parameter in models and predictions. In the Models Section you will learn how to customize the input fields or the objective field.

What We Do

You can use this id to retrieve the prediction later on. The predicted value is found in the prediction object, keyed by the corresponding objective field id. A quick start guide for the impatient is here. You can use BigML. That is to say, using BigML. Fully white-box access to your datasets, models, clusters and anomaly detectors. Asynchronous creation of resources. The four original BigML resources are: source, dataset, model, and prediction.

As shown in the picture below, the most basic flow consists of using some local (or remote) training data to create a source, then using the source to create a dataset, later using the dataset to create a model, and, finally, using the model and new input data to create a prediction. The training data is usually in tabular format. Each row in the data represents an instance (or example) and each column a field (or attribute).

These fields are also known as predictors or covariates. When the machine learning task to learn from training data is supervised one of the columns (usually the last column) represents a special attribute known as objective field (or target) that assigns a label (or class) to each instance.

The training data in this format is named labeled and the machine learning task to learn from is named supervised learning.

Once a source is created, it can be used to create multiple datasets.He is a professional punter and racing analyst who offers highly valuable punting insights and advice through his service Bet Smart. Daniel is a leading mind when it comes to the philosophy and broader topics of racing and wagering. We discuss the current wagering environment, betting for a living and much more. Allen Bari is a World Series of Poker Bracelet winner and has amassed millions of dollars in poker winnings over his career.

We discuss a whole hosts of topics from his Bracelet winning tournament, intuition and tells at the poker table, Phil Ivey and his casino cheating scandal, traveling the world playing texas hold em, Game Theory Optimal betting strategy, staking players and more.

James has a simple mission and that is to provide useful resources to the bitcoin betting public Bitedge is a great website and resource for those looking for further details and information about the possibilities in the crypto-currency and betting world. Tony is a full time professional sports and racing trader. Tony utilizes software to execute trades on sports and racing to put himself in a winning position, regardless of the result of the betting event.

Tony shares some of his thoughts, secrets and tips that he has curated and developed over the years, which he also freely shares in videos, books and other resources on his site thesportstrader.

Vince Accardi has decades of experience in the Betting world. He has developed, curated and even mastered the ability to utilize data for form analysis. Vince leads the way when it comes to his incremental velocity ratings and using those to formulate a race shape and profiles for horses around Australia. Vince delves pretty deep into some of the philosophies he uses and what the future may hold for tracking and sectional data.

Nathan started out on the bookmaking side and progressed to the betting side where today he is a renowned figure in Sydney betting circles. Nathan specialises in Sydney racing and discusses some of the tools he uses to win betting professionally. Nathan touches on Betfair, his time in the Sydney betting ring and much more.

Chris Connelly is the founder of Contrarian Investments LLC, a Nevada registered Sports Betting Entity. Chris takes us inside Las Vegas and the life of a sports betting entity. He speaks about his staking plan, betting at the window, line moves, American sports and what it is like to be one of a very small group to operate a Betting Entity. Marc Lambourne has decades of experience in the wagering world. He has a plethora of knowledge from odds to markets and also shares some of the secrets he uses to make a living in the horse racing world.

Marc was kind enough to share his number 1 form factor when it comes to handicapping and some useful tips for the casual bettor. Nathan is the Co-Founder and Partner of Genius Tech Group. Genius Tech partners with the likes of Riot, Ladbrokes and Draftstars to provide innovative and engaging content. Nathan talks about his business, the rise of big data and how he entered the sports data and technology world.

FAILED: Invalid Response', msg. The app is currently available in English and it was last updated on 2016-04-28. The program can be installed on Android. VIP BETTING EXPERT TIPS (version 2. Just click the green Download button above to start. Until now the program was downloaded 99 times. We already checked that the download link to be safe, however for your own protection we recommend that you scan the downloaded software with your antivirus.

The latest version is 2.THEMOOSE resumes from a 15 week spell and should be near the speed in a race without much early pace, include in exotics. LOCHEND EMMAROSE finished in the middle of the pack last start at Woolamai and placed once this prep at Yea, capable of getting into the money with a bit of luck.

Looks the leader and will take plenty of catching, for the wider exotics. Norsika (4) Scratched 2. King Mapoora (7) ScratchedStand-out between the top two picks. NORSIKA all wins have come when faced with dry ground, genuine contender. DEHUGHES coming off a win at Yea and two of four wins have come from dry ground, can figure.

FOLD resumes from a 28 week spell and four from five wins have been in the dry, in with a chance. KING MAPOORA has two placings from nine runs this prep and four of five wins have come from dry ground, not without each-way claims. Code It (1) 3. Dad 'n' Bri's Shed (8) 5. Salaqua (6) MAGNYTE has good early speed and won once this prep at Yea two runs back, major contender.

CODE IT drawn perfectly, place hope. DAD 'N' BRI'S SHED 2 wins from four attempts this campaign and all wins have come when faced with dry ground, quinella. SALAQUA has shown early speed in races to date and may fade late, place claims. Family Pride (2) 4. It Could Be You (5) 5. Slalom (4) ScratchedFAMILY PRIDE strong finishing effort to win last start at Yea on a soft track and up in distance, genuine contender. IT COULD BE YOU has good early speed and has three placings from five runs this prep, looks threatening.

YALTA won't be far away in the run and Courtney Pace has had success aboard previously, sneaky chance. SLALOM comes back to race at a country level, cannot be ruled out.Example: "width" edges optional A numeric array manually specifying edge boundary locations. If this parameter is present the corresponding field will be discretized according to those defined bins, and the remaining discretization parameters will be ignored.

Example: "width" category filterable, sortable, updatable One of the categories in the table of categories that help classify this resource according to the domain of application. This will be 201 upon successful creation of the correlation and 200 afterwards. Make sure that you check the code that comes with the status attribute to make sure that the correlation creation has been completed without errors.

It includes the field's dictionary describing the fields and their summaries, and the correlations. See the Correlations Object definition below. This is the date and time in which the correlation was created with microsecond precision. The list of fields's ids that were excluded to build the correlation.

The id of the field to be used as the objective for a correlations test. See the Objective Field Details. In a future version, you will be able to share correlation with other co-workers or, if desired, make them publicly available.

This is the date and time in which the correlation was updated with microsecond precision. See Correlation Results Object. Each entry includes the column number in original source, the name of the field, the type of the field, and the summary. Name of the correlation. A correlation result which is a dictionary between field ids and the result. The type of result object varies based on the name of the correlation. See Pearson's correlation coefficients for more information.

Thus, the number of parameters grows with the amount of training data) measure of statistical dependence between two variables. See Spearman's correlation coefficients for more information.

A measure of association between two nominal variables. Its value ranges between 0 (no association between the variables) and 1 (complete association), and can reach 1 only when the two variables are equal to each other.

It is based on Pearson's chi-squared statistic. Its value ranges ranges between 0 (no association between the variables) and 1 (complete association). See Tschuprow's T for more information. In other words, the table summarizes the distribution of values in the sample. Its value ranges ranges between 0 and 1.Popular Leagues Displayed - There are 106 predictions for today. So, to help you more easily and quickly view our most popular predictions you are currently viewing predictions for the most popular football leagues.

Our popular leagues include all leagues from England, the top level leagues and competitions from around Europe (such as the Champions League, Europa League, Spain La Liga, Germany Bundesliga, Italy Serie A), and the top level leagues from Argentina, Brazil, and the USA, and international games. If you wish to view ALL 106 of our predictions for today, which will include all the lower level leagues from around the world, you can still do so by clicking here.

Given there are a lot of predictions, this full list of our predictions may load a little slower if you are using a slow internet connection or mobile device. Odds displayed on this page are correct at the time of publishing, however odds may change so please check the bookmaker website linked by these odds for up to date pricing. Click here to set your odds preferenceIs bet365 your preferred bookmaker.

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If the answer is yes, you don't have to surf PredictZ anymore while having a separate window open for bet365 to place your bets. If you wish to convert all 1X2 odds on this page so they link to automatically add your bets to your bet365 bet slip click here. Clicking any odds will conveniently add your bets directly to your bet slip. Try it out and then click any of the odds selections below to add to bet slip. League TwoScottish CupScottish League CupWal.

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The IAB have already scheduled an industry event to debate programmatic transparency. With the promise of clearer and consistent standards, 2016 will welcome stricter thresholds in response to the increased prevalence of the digital ad fraud epidemic.

As media consumption has become more addressable, marketers are increasingly looking for data that helps them understand viewer behaviour and the effectiveness of their TV advertising investments. As a result, marketers will not only be able to measure and optimise their TV buys at a more granular level, but also on a much faster cadence than allowed by traditional, survey based measurement methods.

However, while programmatic distribution has moved mountains for advertisers in one sense, ad creative has yet to evolve to achieve maximum impact on every device and screen. In 2016, dynamic creative production will come into play in a big way to complement programmatic distribution. By automating the production process, advertisers can ensure their content maximises its full potential across all devices, each and every time. Greater efforts will be made to ensure ads and formats provide an interesting UX that will genuinely engage users, rather than irritate them.

We can expect to see advertising become more creative, tasteful, and (subtly) relevant as a result. We will also see greater numbers of publishers prompting their users to disable ad blocking in in order access free content.

Ninka Aduunka Ugu Guska weyn oo sawiro laga helay cajiib Daawo

Think high-impact and higher-value. But this challenge will be overcome in 2016 and this will allow formats to finally evolve. When producing content and advertising for Discover, publishers need to create highly visual stories with short attention spans in mind. This trend will continue and grow in 2016 (and beyond), leading to significant changes in the presentation of mobile content and advertising.

User-initiated videos will become mainstream, boasting enhanced performance metrics that provide advertisers with genuine insights into actual views and time spent on ads. Cross-platform video campaigns that leverage the unique strengths of each platform, and consider the implications that each has on the entire buying cycle, will be the Achilles heel of TV and the future of advertising.

In fact, the number of ad blocker users has exploded of late, with one-in-five UK adults implementing one. The smartphone is now our go-to device in the UK, the first thing we pick up in the morning and the last thing we look at before going to sleep. Marketers will need to ensure their campaigns are truly cross-screen, thinking mobile-first when approaching their business strategies.


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