Korean girl youtubers

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Korean girl youtubers

More Videos These YouTube child stars are making millions of dollars. Kim Kardashian West shares birthday photos from private island. Chrissy Teigen opens up about losing her son. These voters are dancing their way to the polls.

Kevin Hart shares why he revived MDA telethon. Matthew McConaughey reveals the origin of his catchphrase. Elton John inspires new look for iconic toy. Jimmy Kimmel picks on Donald Trump's debate lines. Toddler goes viral stealing mom's phone. This beetle can get run over by a car and live to tell the tale. Stephen Colbert moved to tears by Dolly Parton's voice. Bruce Willis reprises iconic role for commercial.

Kim Kardashian tears up recounting Paris robbery. Derek Hough returns to the floor on 'Dancing with the Stars'. Boram bought the 9. Boram has two popular YouTube accounts on which she posts content: a toy review channel with In one of her most popular clips, which attracted over million viewsBoram makes instant noodles using a plastic toy kitchen and then enthusiastically slurps them down on camera. But some of Boram's content has attracted controversy in South Korea for the values it promotes.

Boram appears on her YouTube channel. Read More. Innon-governmental organization Save the Children received complaints from citizens in South Korea who were worried Boram's clips could negatively impact the emotional and ethical development of young viewers. They were especially concerned by staged clips that showed Boram stealing money from her father's wallet and appearing to drive cars on the road, the organization's advocacy department manager Koh Woohhyun told CNN.

The Top 25 YouTubers in South Korea – Best of 2020

Save the Children reported her videos to the police.While Instagram influencers are getting a lot of attention these days, Youtube influencers are the ones that started it all. It is estimated that 7 out of 10 South Koreans would want to make a living being a YouTuber.

A vast majority of this group are in their 20s or 30s. They are passionate about creating content and have specifics ideas that they want to share with the world.

Now there are very powerful Youtubers in South Korea that brands can collaborate with. The list is of YouTubers that are in South Korea. Therefore not all of them are actually Korean. Our rankings are based solely on the number of Youtube subscribers these Korean YouTubers have.

Therefore some of these channels might not be suitable to be influencers for your brand. Furthermore, we have taken out official company channels such as Kpop entertainment company channels. The survey was done on over 3, millennial job applicants in Korea.

Creating content seems to be an industry where AI will not be taking over anytime soon. In addition, many millennials in Korea want to do something fun for a living or something they are passionate about. Want to know more about a day in the life of a University Engineering student in Korea?

Look no further than this fun and entertaining channel. This mids student does daily vlogs about his life. Therefore most of the content is different every time. However, most of the videos are in Gyeongju.

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He does his best to include his friends and family in his videos. The best videos are those done with his girlfriend. In addition, he does food challenges, reviews, and visits many interesting places such as amusement parks, festivals, and beaches.Unfortunately i don't have much voting power, but i will be back and vote my followers.

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korean girl youtubers

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Our weekly newsletter is loaded with exclusive free picks, insight and advice from our expert handicappersHere you will find the best free MLB picks as well as parlays for all of today's games. All of our expert baseball predictions are against the spread. The probable pitchers are Lance McCullers for the Astros and Yu Darvish for the Dodgers. This Matchup report has your MLB pick of the day as well as MLB odds for the game.

The probable pitchers are Justin Verlander for the Astros and Rich Hill for the Dodgers. This matchup report has Vegas lines and an expert MLB pick for your daily winner. The probable pitchers are Clayton Kershaw for the Dodgers and Dallas Keuchel for the Astros. This games report has current odds, betting trends, and free picks against the spread.

The probable pitchers are Alex Wood for the Dodgers and Charlie Morton for the Astros. This Matchup report includes Vegas odds and a free baseball pick for tonight. The probable pitchers are Yu Darvish for the Dodgers and Lance McCullers for the Astros. We have included an expert pick and parlay for todays game against the spread.

This matchup report incudes betting lines and our pick of the day for this game. The probable pitchers are Dallas Keuchel for the Astros and Clayton Kershaw for the Dodgers. This report includes betting odds and our expert MLB picks for todays game. The probable pitchers are CC Sabathia for the Yankees and Charlie Morton for the Astros. This matchup report includes odds, betting trends and a free pick against the spread. The probable pitchers are Luis Severino for the Yankees and Justin Verlander for the Astros.

The probable pitchers are Clayton Kershaw for the Dodgers and Jose Quintana for the Cubs. The probable pitchers are Alex Wood for the Dodgers and Jake Arrieta for the Cubs. The probable pitchers are Dallas Keuchel for the Astros and Masahiro Tanaka for the Yankees.

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The probable pitchers are Yu Darvish for the Dodgers and Kyle Hendricks for the Cubs. This game report has an MLB pick, betting odds, and trends for tonights key matchup.They encourage shoppers to share details about the product and about themselves, so other customers can find and read a review from someone with a similar shape and weight to better understand how a specific garment may fit them.

Human beings tend to look to groups or communities to validate their decisions. A customer might be interested in a product but hesitant to buy.

No matter how detailed and honest you are, you clearly have a vested interest in presenting your products in the best light. Include a system for reviews within your ecommerce site. You can include your own calls to action on product pages, within your confirmation pages and emails, or in receipts and invoices. Make it easy not only to leave reviews for specific products but make the page where customers can do so easy to find.

Want to add product reviews capabilities to your ecommerce site. Customers will likely leave reviews weeks or even months after they made the initial purchase. Are your emails costing you sales. Get our free guide full of additional tips to help retailers create high-impact emails. Customers can leave reviews in more places than just your own website.

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You want to make it easy for happy customers to write reviews when they have positive experiences with your brand. Be sure to set your business up on third-party sites that encourage positive consumer reviews. Start with the following:You can also use industry-specific directories that are relevant to your business.

You can encourage customers to write reviews by rewarding them for doing so. Incentivizing your shoppers this way makes sense and it is fair after all, it takes time and effort to write a review, so receiving some sort of reward for doing so is likely to add to the overall positive experience they had with your brand. You can offer coupons or discount codes to encourage buyers to share their feedback publicly.

Or host periodic drawings and giveaways, and choose a winner from the pool of customers who submitted reviews in a certain timeframe.

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Rewarding customers for writing reviews is an acceptable practice. Buying reviews is something to avoid. Your offer should simply be for writing a review, not for writing a review with an angle or spin you requested.

You can further encourage customers to leave reviews if you make those reviews easy to write on mobile. Creating a place for customers to respond and leave a star rating, for example, is an easy task to perform on a smartphone. You can also get creative, and look to gather not just written reviews, but also data points from surveys. This will allow you to write web copy that you can use to set alongside customer reviews, while still making it easy to leave feedback on mobile.

Find unique (and polite) ways to ask shoppers to write reviews for products they purchase. The best time to ask is after customers interact with you, and well-integrated point-of-sale software can help you track a number of activities to tailor your request for reviews.

When it comes to optimizing your retail site for conversions, customer reviews can help move the needle.Manufacturers want to work smarter using digital technologies in their products and processes and throughout the value chain. Even now, manufacturers that are able to apply new technologies to pull away from the pack experiencing double-digit growth in productivity, market share, and revenue, while others are flat or declining.

In addition to digital transformation, key themes woven into our worldwide manufacturing top 10 predictions for 2017 include the need for new ways of innovating, more integrated IT and operational technology (OT), business security, and rethinking the future of work.

We believe that business leaders who successfully apply digital technologies to their industry, customers, partners, suppliers, and business practices stand to gain substantial advantages over their competitors. Manufacturers are rethinking and reimagining products, services, and processes.

But manufacturers must continue to innovate and create value from their tech investments to solve business challenges and enable new revenue streams. Kimberly Knickle, Research Vice President, IDC Manufacturing Insights As a research vice president, Kimberly Knickle is responsible for research and analysis of business and IT issues for manufacturers.

Knickle also manages the Product Innovation, Service Innovation, and Connected Products research. PwC Robotics Absolute Logic Sign up for our newsletter to stay connected and receive all the latest information, news and stories from Industry Today right in your inbox. In the first fixture of the Super-Playoffs of the Pro Kabaddi League Season 5, it will be an eliminator match between the Puneri Paltan and UP Yoddha to progress onto the next stage and it will be held at the Dome, NSCI in Mumbai.

The two teams finished second and third in Zone A and Zone B to seal their spot in the knockouts. Puneri Paltan is coming into this match on the back of a one-point loss against the Gujarat Fortunegiants from Friday evening while UP Yoddha slumped to a big 64-24 defeat against the Bengaluru Bulls in their last fixture, but the team had fielded a second string side in that match having qualified for the playoffs.

The two teams have clashed against each other just once earlier in the league and the match turned out to be an edge-of-the-seat thriller with Puneri Paltan coming out on top by a slender margin of just one point. When it comes to the attack, the UP Yoddha have an upper hand over Puneri Paltan given their duo of frontline raiders, Nitin Tomar and Rishank Devadiga who have picked up over 320 points between themselves.

Moreover, they have a cushion in the presence of Surender Singh, who plays as the third raider and is in prime form with a couple of consecutive Super-10 outings. Their defence is primarily manned by Jeeva Kumar in the cover position with the young Sagar Krishna and Nitesh Kumar in either corner, both of whom have given some stellar performances over the course of the season. To complete the starting seven, Gurvinder Singh or Pankaj might be included in the scheme of things, to add depth to the defence.

Puneri Paltan, on the other hand, relies majorly on their skipper, Deepak Hooda to do the bulk of the raiding and if he is to be rendered out of the equation the team will be in deep trouble. Rajesh Mondal does thrive in pressure situations but has not been able to single-handedly rip apart the rival defence. Sandeep Narwal and Girish Ernak have been stellar as corner defenders and will look to continue in the same fashion.

Young guns Monu and Rinku Narwal, both able all-rounders will also take to the mat alongside the veteran Dharmaraj Cheralathan. UP may have a slight advantage with their attack and if their defence comes to the party as well, they can well be able to keep Puneri Paltan at bay by primarily keeping Deepak Hooda and Monu off the mat for long periods of time.

Will the Pune defence be able to stop the UP attack. In what could be a tussle between two very even teams, the Mumbai Indians and Sunrisers Hyderabad will battle it out at the Wankhede Stadium in Mumbai in Game 10 of IPL 2017 on Wednesday. Both teams are coming into the game on the back of victories in their respective previous games, albeit contrasting ones.

Sunrisers have been the best team in the competition so far. Barring Shikhar Dhawan, each of the top four in the batting order has registered a half-century this season and that has meant that the opposition bowlers have chased leather.The more they can reasonably delegate to competent team members, the better.

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Vivian Howard and Ben Knight are restaurateurs in the small town of Kinston, North Carolina. Despite their incredible success, Ben still answers online reviews himself. Imagine if you got this response from your favorite PBS star. Related: How to Talk to Your Angriest CustomersYelp is the king of review sites. If you run a niche business, also look out for review sites that are specific to the industry these offbeat sites may even hold more weight with influencers.

Consistency across platforms is key. They lack meaning, which is frustrating to everyone, especially the customer taking the time to write a review. As a general rule, the more effort a customer puts into a review, the more personalized and specific your response should be. You would rather breeze over the problem. Clear communication is hard to achieve, especially through a computer screen. Their robotic responses are a perfect example of bad customer service and red flags to any discerning reader.

Have you ever met a person who is truly gracious. Someone who is courteous, kind and respectful. When apologizing for an issue, a gracious tone is everything. In short, being gracious disarms people even irate complainers. Yes, this example would have been more impactful if Madison shared immediately rather than nine months later. Signing responses to reviews with your name establishes a personal connection and shows that a real person is taking accountability for any issues.

For example, a customer is unhappy with the price of your product or misunderstood what you do. In these cases, politely bring clarity to the situation. Now, readers who skim through these reviews know that the coffee and bike shop prides itself on having single-origin roasts.

And they could very well attract people who want to pay more for the best espresso in Seattle. Knowing how to apologize is a must-have skill when responding to reviews. To inspire people to change their minds, you need to act, too. Specifically, you need to go above and beyond what people expect from good service. For example, if a couple complains about a hair in their food online, they expect the restaurant to apologize profusely. To really impress people, the restaurant needs to exceed expectations by offering free entrees next time they visit the restaurant.

In the case of the Regatta Inn, a small bed and breakfast on Nantucket, the manager offered a free off-season night to a couple on TripAdvisor who had issues with the heat in their room during a short stay.

The manager, Linda, offered a free night in person, but she reiterated it over TripAdvisor and even thanked the reviewer for the reminder to fix the issue all with a sense of humor to boot. You get to decide whether they make or break your business. By taking the time to resolve issues online, you show your community just how much you value every customer. If you can always learn from these mistakes, nothing will hold your business back.

The follow-up: How (and Why) You Should Respond to Positive Online ReviewsJoin 76,547 subscribers and get an original essay twice a week. Say hello on Twitter or through her website.

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It only takes a jiffy to upgrade. Free PDF: 25 Ways to Thank Your Customers Ready to turn customers into advocates.See the Gradient Boosting section for more information. Example: "000003" ordering optional Integer,default is 0 (deterministic). Specifies the type of ordering followed to build the models of the ensemble. There are three different types that you can specify: 0 Deterministic 1 Linear 2 Random For more information, see the Section on Shuffling.

See the Section on Random Decision Forests for further details. The range of successive instances to build the models of the ensemble. It doesn't apply to boosted trees. Example: 16 tags optional Array of Strings A list of strings that help classify and retrieve the ensemble. If you do not specify a range of instances, the complete set of instances in the dataset will be used. If you do not specify any input fields, all the preferred input fields in the dataset will be included, and if you do not specify an objective field, the last field in your dataset will be considered the objective field.

Note that when gradient boosting option is applied to classification models, the actual number of models created will be a product of the number of classes (categories) and the iterations.

For example, if you set boosting iterations to 12 and the number of classes is 3, then the number of models created will be 36 or less depending on whether an early stopping strategy is used or not.

Individual trees in the boosted trees differ from trees in bagged or random forest ensembles. Primarily the difference is that boosted trees do not try to predict the objective field directly. Instead, they try to fit a gradient (correcting for mistakes made in previous iterations), and this will be stored under a new field, named gradient.

Boram, 6-year-old South Korean YouTuber, buys $8 million property

This means the predictions from boosted trees cannot be combined with using the regular ensemble combiners. Instead, boosted trees use their own combiner that relies on a few new parameters included with individual boosted trees. These new parameters will be contained in the boosting attribute in each boosted tree, which may contain the following properties.

These are sums of the first and second order gradients, and are needed for generating predictions when encountering missing data and using the proportional strategy. For regression problems, a prediction is generated by finding the prediction from each individual tree and doing a weighted sum using each tree's weight. Once an ensemble has been successfully created it will have the following properties.

Creating a ensemble is a process that can take just a few seconds or a few days depending on the size of the dataset used as input, the number of models, and on the workload of BigML's systems. The ensemble goes through a number of states until its fully completed. Through the status field in the ensemble you can determine when the ensemble has been fully processed and ready to be used to create predictions.

Once you delete an ensemble, it is permanently deleted. If you try to delete an ensemble a second time, or an ensemble that does not exist, you will receive a "404 not found" response. However, if you try to delete an ensemble that is being used at the moment, then BigML.

korean girl youtubers

To list all the ensembles, you can use the ensemble base URL. By default, only the 20 most recent ensembles will be returned.

korean girl youtubers

You can get your list of ensembles directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your ensembles.

Logistic Regressions Last Updated: Monday, 2017-10-30 10:31 A logistic regression is a supervised machine learning method for solving classification problems. You can create a logistic regression selecting which fields from your dataset you want to use as input fields (or predictors) and which categorical field you want to predict, the objective field. Logistic regression seeks to learn the coefficient values b0, b1, b2. Xk must be numeric values. To adapt this model to all the datatypes that BigML supports, we apply the following transformations to the inputs:BigML.

You can also list all of your logistic regressions. Value is a map between field identifiers and a coding scheme for that field. See the Coding Categorical Fields for more details. If not specified, one numeric variable is created per categorical value, plus one for missing values.


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