Wiki zawa

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Wiki zawa

However, she has been highly criticized by public on all social media forums owing to her unethical remarks and questionable acts.

Shortly, it became clear that the images were simply taken from a Twitter post done by an amateur photographer. Moreover, Zawachin erased the copyright information of the photographer that was put on one of the images. Ozawa was born to a Filipino mother and Japanese father. She's known for her signature pink mask a must have item when doing a monomane make-up. From Wikipedia, the free encyclopedia. This article may rely excessively on sources too closely associated with the subjectpotentially preventing the article from being verifiable and neutral.

Please help improve it by replacing them with more appropriate citations to reliable, independent, third-party sources. November Learn how and when to remove this template message. Zawachin website. Cinema Today. Retrieved 25 November Retrieved October 19, Retrieved Retrieved November 20, Retrieved March 14, Retrieved 7 February Hidden categories: CS1 Japanese-language sources ja CS1 uses Japanese-language script ja Articles lacking reliable references from November All articles lacking reliable references Articles containing Japanese-language text Articles with hCards Articles with Japanese-language sources ja AC with 0 elements All stub articles.

Namespaces Article Talk. Views Read Edit View history. Help Learn to edit Community portal Recent changes Upload file. Download as PDF Printable version. This biographical article related to Japan is a stub. You can help Wikipedia by expanding it.Kanazawa is located in north-western Ishikawa Prefecture in the Hokuriku region of Japan and is bordered by the Sea of Japan to the west and Toyama Prefecture to the east.

The city sits between the Sai and Asano rivers. The eastern portion of the city is dominated by the Japanese Alps. Parts of the city are within the borders of the Hakusan National Park. Per Japanese census data, [2] the population of Kanazawa has grown steadily over the past 40 years.

wiki zawa

The area around Kanazawa was part of ancient Kaga Province. The area where Kanazawa is was originally known as Ishiura, whose name is preserved at the Ishiura Shrine near the Kenrokuen. Their principal stronghold was the Kanazawa Gobo, on the tip of the Kodatsuno Ridge.

Backed by high hills and flanked on two sides by rivers, it was a natural fortress, around which a castle town developed. This was the start of what would become the city of Kanazawa. At the Battle of Sekigahara inhe sided with Tokugawa Ieyasu and thus was able to further enlarge his holdings to a massive 1.

On April 14,a fire consumed much of the city, including the castle. In Maeda Toshitsune ordered the construction of a canal to bring water from the upper Sai River to the castle to alleviate a water shortage problem.

Water was drawn from far upstream, and channeled through kilometres of canals and pipes carefully laid at a slope for about 3. The water was fed to the castle under the moat that lay between it and what is now Kenrokuen by an artesian well. The large lake in KenrokuenKasumi-ga-Ike, acted as an emergency supply. Local legend has it that the lake has a plug, which could be pulled to increase the water in the moats.

The series of moats were laid out in the early seventeenth century. Initially they were dry, but later connected to the rivers. The Inner Moat was dug in only 27 days, and averaged about four to five feet wide.

The Outer Moat took a bit longer, and averages some six to nine feet in width. Though much of the Inner Moat has been filled in, large sections of the Outer Moat remain.

The earth removed from the moat was piled into ridges along the inner side, as an added defence measure. Before the Maeda clan arrived in Kanazawa, the town had a population of only 5, ByKanazawa rivaled Rome, Amsterdam, and Madrid in size with its population of overSome were first hired as servants for samurai or wealthy merchant families and decided to stay in the city even after their contracts expired, though most moved to Kanazawa for no reason other than the commercial opportunities the city presented.

The government further facilitated growth by responding to the needs of these newcomers with projects like the Sai River Project. Because the Sai River split in two and the castle was located in the center, a part of the riverbed was unusable.

This signifies that the commoner population of Kanazawa began to generate its own consumption demands, thus stimulating even more growth.

Coming out of the Sengoku Periodcastle towns were particularly appealing because of their security and defenses. In those years, the population of the country nearly doubled, reaching approximately 30, and the percentage of people living in urban towns of more than 10, residents grew more than tenfold. The population then stabilized. Beginning in the s, Japan had little or no influence from other countries.

However, this phase was clearly not a sign of backwardness or decline. The growth that Japan experienced while operating under sakoku policy was largely possible because of castle towns such as Kanazawa.Jul 23 "I was reading about the McGregor-Mayweather fight, so I wanted to understand all the talk surrounding the betting.

This cleared up nearly all of my questions. Helped me fit into the conversation that was partaking behind me. More success stories All success stories Hide success stories Related Articles Home About wikiHow Jobs Terms of Use RSS Site map Log In Mobile view All text shared under a Creative Commons License.

Help answer questions Start your very own article today. To convert decimal odds to fractional, subtract 1. To convert moneyline odds to decimal, if the moneyline is positive, divide by 100 and add 1. If it is negative, divide 100 by the moneyline amount (without the minus sign) and add 1. To convert fractional odds to decimal, divide the first figure by the second figure add 1.

Becoming less popular online. Tell you the amount of profit relative to your stake if you win your bets.

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Decimal Odds (Also known as European) Common around the world but especially in Europe. Standard on betting exchanges such as Betfair. Convey the total amount you will receive if you win, including the return of your stake.

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Moneyline Odds (Also known as American) Used by most US bookmakers. Betting Calculators and Guides Odds ConverterEach Way CalculatorBack Lay CalculatorBetting TermsTic-Tac GuideCompare Free Bets at BonusBetting Contact - LinksYou can also convert odds in a small pop-up window for easy browsing.

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wiki zawa

Who's Stopping Me 4. Pull Up N Wreck 5. Even The Odds 8. Bet now at Twinspires. Learn how to bet on the Derby, get tips from our experts, and place a bet on the Kentucky Derby contenders now with TwinSpires.

Fulfillment by Amazon (FBA) is a service we offer sellers that lets them store their products in Amazon's fulfillment centers, and we directly pack, ship, and provide customer service for these products. Something we hope you'll especially enjoy: FBA items qualify for FREE Shipping and Amazon Prime. If you're a seller, Fulfillment by Amazon can help you increase your sales. We invite you to learn more about Fulfillment by Amazon. In The Odds, Chad Millman follows three professional gamblers through a year of college basketball, where meticulous research, betting discipline, and instinct clash with addiction, and no one relaxes until they've lost it all.

The idea behind the betting line is to lure bets (hopefully, losing ones) and make a profit for his casino from the action, but more importantly to stay ahead of those who pounce on a weak line like hungry wolves.

Millman provides the answer to what makes these wiseguys tick: "While the casual bettor weighs common sense and financial realities with every bet, the wiseguy pushes those aside. While you won't learn how to get rich off the next office pool, you will get an inside look at those who make or lose money on some kid's buzzer-beater or a garbage-time lay-up. To some, sports betting is good clean fun it adds spice to the game to put a little down on your alma mater.

Here, sports reporter Chad Millman goes to Las Vegas, the legal gambling mecca threatened by recent legislation and offshore Internet betting sites, and follows the men who make the odds and those who try to beat them. This is not a Reefer Madness-style expos designed to scare gamblers straight, but its depiction of the lives of a young bookmaker, a big player, and a rookie gambling professional still might make bettors consider dialing 1-800-BETS-OFF.

Recommended for larger public libraries. Jim Burns, Ottumwa P. Sponsored Products are advertisements for products sold by merchants on Amazon. When you click on a Sponsored Product ad, you will be taken to an Amazon detail page where you can learn more about the product and purchase it. To learn more about Amazon Sponsored Products, click here.

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The item is complete, unmarked, and undamaged, but may show some limited signs of wear.Earnhardt said on media day that he is close to retirement from racing. He said the reason he has returned is a chance to win the championship. I would be out of here. Coming back from this injury, we worked so hard.

To come back this year, win a championship, it would be hard not to hang it up. The Great American Race is always about much more than horsepower and drafting. It is about being aggressive at the right time and taking advantage of the small holes that other drivers leave. The driver who does this bestand has no mishap with any aspect of the carhas the best chance to win.

Everyone has to shake off the rust at Daytona, and Earnhardt has more of it than most of his competitors. That's why we like Keselowski to emerge here and take the checkered flag. He can bide his time and should have an excellent chance to run the favorite down and capture the title. He will face challenges from Logan, Elliott and Harvick, but this should be Keselowski's race to win.

Jamie McMurrayChip Ganassi Racing4. Denny HamlinJoe Gibbs Racing5. Matt KensethJoe Gibbs Racing10. AJ AllmendingerJTG Daugherty Racing11.

Trevor BayneRoush Fenway Racing12. Austin DillonRichard Childress Racing13. Aric AlmirolaRichard Petty Motorsports16. Ryan NewmanRichard Childress Racing17.

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Kyle LarsonChip Ganassi Racing19. Daniel SuarezJoe Gibbs Racing22. David RaganFront Row Motorsports23. Kyle BuschJoe Gibbs Racing24. Michael McDowellLeavine Family Racing25. Matt DiBenedettoGo Fas Racing28.

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Landon CassillFront Row Motorsports30. Chris BuescherJTG Daugherty Racing32. Jeffrey EarnhardtCircle Sport - The Motorsports Group35.

wiki zawa

Erik JonesWood Brothers Racing37.Read more Partner With UsJoin our vision of a stress-free, violence-free world. Every drop makes the ocean. If you'd like to participate in transforming society, join hands. Read moreSocial Projects WebsiteThe Art of Living has successfully completed many projects advocating self-reliance that have benefited millions of people. Read more Our Project Areas Transforming Rural IndiaEmpowering comunities to develop sustainable solutions and enabling leadership among rural youth.

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Without analytics, your Instagram marketing efforts can be a little hit-and-miss. How do you know if your Instagram marketing strategy is going well. How do you track your Instagram performance and improve your content. With Instagram analytics, you can obtain a ton of valuable data and information to understand how your brand is performing on Instagram and how you can improve your results.

In this guide, we will be covering several topics under Instagram analytics. To make it more digestible, this guide is divided into four chapters. Feel free to skip to the chapter that interests you the most. Chapter 1: 28 Instagram metrics and insights to measure and improve your performanceChapter 2: Instagram insights and 10 other free Instagram analytics toolsChapter 3: How we track our Instagram performance at BufferChapter 4: How to act on your Instagram insightsJump to any section of this post Instagram provides a wide range of metrics and insights for you to measure your performance, understand your audience, and improve the results of your Instagram marketing.

Instagram Insights) or other Instagram analytics tools. Most metrics available can be considered as level-one metrics data in its most basic form (e. We will go through level-two metrics calculated metrics (e.

Follower count: The number of people following your Instagram account. Impressions: The total number of times all of your posts have been seen. Reach: The number of unique accounts that saw any of your posts. Profile views: The number of times your profile was viewed.

wiki zawa

Website clicks: The number of taps on the website link in your profile bio. Posts: The number of Instagram posts you have published.We want to know if people from different areas or who drive different types of vehicles give different answers to the question.

We see some differences, but want to know if those differences are likely due to chance, because of the particular people we happened to interview, or whether the differences seen here likely reflect real differences in the entire population of people represented by our sample. To answer this question we used a statistic called chi (pronounced kie like pie) square shown at the bottom of the table in two rows of numbers.

The top row numbers of 0. The meaning of these statistics may be ignored for the purposes of this article. The second row contains values. These are the significance levels and are explained following the table. Significance levels show you how likely a pattern in your data is due to chance.

The most common level, used to mean something is good enough to be believed, is. However, this value is also used in a misleading way. Instead it will show you ".

To find the significance level, subtract the number shown from one. For example, a value of ". In this table, there is probably no difference in purchases of gasoline X by people in the city center and the suburbs, because the probability is.

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In contrast the high significance level for type of vehicle (. The Survey System uses significance levels with several statistics. In all cases, the p value tells you how likely something is to be not true. If a chi square test shows probability of. If a t-test reports a probability of. If a test shows a.

If you do a large number of tests, falsely significant results are a problem. If you took a totally random, meaningless set of data and did 100 significance tests, the odds are that five tests would be falsely reported significant. As you can see, the more tests you do, the more of a problem these false positives are.By default, only the 20 most recent logistic regressions will be returned.

You can get your list of logistic regressions directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your logistic regressions. If every weight does end up zero (this is possible with sampled datasets), then the logistic regression creation will fail.

Clusters can handle numeric, categorical, text and items fields as inputs: Numeric fields: the Eucledian distance is computed between the instances numeric values. Categorical fields: a common way to handle categorical data is to take each category as a new field and assign 0 or 1 depending on the category.

So a field with 20 categories will become 20 separate binary fields. Text and item fields: each instance is assigned a vector of terms and then cosine similarity is computed to determine closeness between instances. Each cluster group is represented by a centroid or center that is computed using the mean for each numeric field and the mode for each categorical field.

For text and items fields each centroid contains the terms or items which minimize the average cosine distance between the centroid and the points in its neighborhood. To create a cluster, you can select an arbitrary number of clusters (i.

You can use scales to select how each field influences the distance measure used to group instances together. You can also list all of your clusters. That is, no special scaling is used. With this argument you can pick your own scaling for each field. This will make it easy for you do things like balancing age and salary, but then request that age be twice as important. This can be used to change the names of the fields in the cluster with respect to the original names in the dataset or to tell BigML that certain fields should be preferred.

All the fields in the dataset Specifies the fields to be considered to create the clusters. Must be null or a number greater than or equal to 1 and less than or equal to 300. Each model predicts whether or not an instance is part of its respective cluster.


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