Ayumi Hamasaki speculated that she is about four to five months pregnant. Several media outlets speculated that he is year-old dancer Shunpei Araki. Hamasaki dropped a further bombshell on her 42nd birthday on Friday Oct 2 after her online concert when she disclosed that she is pregnant with her second child.
The Japanese media speculated that she is about four to five months pregnant. Hamasaki was previously married to Austrian actor and model Manuel Schwarz between andand American student medical student Tyson Bodkin from to She was romantically linked to Araki inbut she has never confirmed the relationship. Hamasaki, who broke onto the scene in April with her debut single Poker Face, was originally planning to hold a concert tour from February to August this year to mark her 22nd year in show business.
[Single] Thinking Dogs – Heavenly ideas (2020.09.23/MP3/RAR)
Don't miss out on the latest news and information. For feedback, complaints, or inquiries, contact us. We reserve the right to exclude comments which are inconsistent with our editorial standards.The band told The Associated Press the multi-Grammy Award-winning musician delved into their back catalog to understand their unique sound while working on the single that was released last week. But this time we sang the song in English. Bruno provided us the opportunity to reach out to a foreign audience.
Despite their success, ARASHI shocked fans by announcing their hiatus, halting all band activities at the end of this year. As for the most memorable moments from their career, Aiba fondly recalled concerts in Japanese National Stadium and Hawaii. Matsumoto described a trip to Los Angeles around two years ago, when they revisited and took identical photos at places they visited 20 years ago.
With about three months left until their hiatus, the band is keeping busy despite the coronavirus pandemic. Click here to see our full coverage of the coronavirus outbreak. Submit your coronavirus news tip. By participating in online discussions you acknowledge that you have agreed to the Terms of Service. An insightful discussion of ideas and viewpoints is encouraged, but comments must be civil and in good taste, with no personal attacks.
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Having trouble with comments? Learn more here.[TOP 100] J-POP CHART - JULY 2020 (WEEK 1)
Joined: Sep 2, Messages: 4, Likes Received: 10, Currency: 7, Gender: Female Occupation: if you vote for him again ya a white supremacist.
No lol. Demogorgon Super Rookie. LMAO No. Haolat likes this. No c-pop as music isn't but definitly those shows are more popular than shows in Japan and Korea. ForgottenSoul Elite.
[Album] FINAL FANTASY VII REMAKE Orchestral Arrangement Album (2020.10.07/MP3/RAR)
JustWhatIThink Celebrity. Honestly I can see It happening, J-Pop isn't really big on the west. E stan. E stan talent! Chinese artists don't post music on Youtube since many can't acess the side and those who can don't promote themself for foreign fans so you can be lucky as a fan of music from China, Hong Kong and Taiwan when people randomly know a Chinese song that you know to talk with them about it, because its a rare thing to meet C-Pop fans.
I have the impression cpop and kpop lately are more popular than jpop. The music industry in China is still undeveloped and these Cpop groups can be compared to the first generation of Kpop. VVisual Super Rookie. In Asia, possibly. In the West, no. Also there is a large Chinese diaspora in SE Asia.
The Chinese Produce shows are obviously more popular but not across the entire music industry. Obviously CDrama is far less popular than anime in the West. The attention YWY is getting internationally mainly comes from Lisa tbh, otherwise it'd be another Produce China Season 1, with Rocket Girls being popular only in the Chinese diaspora.
I'm sure people later on became attached to the actual girls themselves, but the majority fo them would not watch it in the first place if not for Lisa. However, I heard that both show are intent on promoting internationally - hence spearheading China's push to internationalize C-Pop. Jay Chou, Jolin Tsai, etc. Hard to say. A lot of the c-pop names listed were trained in k-pop first, and probably gained most of their i-fans from k-pop.
The c-pop market growth needs to happen internally first. When I look at YWY and Produce China, the rap and vocal talent seem to be there but the dance training hasn't been around long enough. K-pop is spreading in part due to dance standards and more mainstream sounds.
I thought the Lisa season on YWY was interesting talent-wise, but the girls are also years older than their Korean counterparts. So they need to transition to being artists pretty quickly because I'm sure there are a lot of talented younger girls.
For me to have a belief that c-pop would spread quickly, I'd want to know that there is something unique about the c-pop genre. I think the dance talent will catch up pretty quickly within 10 years or less, but something else must organically evolve to differentiate it other than language.Follow Billboard. All rights reserved. During each week of the four-week cycle, the hybrid program will stream TikTok Live performances and pre-recorded interviews by the artist of the month, while highlighting various user-generated content by TikTok users about the act alongside up-to-date chart information.
The show will also feature a different TikTok creator each month as host. The inaugural artist of the month will be the four-man band Kami Wa Saikoro Wo Furanai "God does not play dice"whose ballad "Yonagauta" became a viral hit earlier this year after taking off on TikTok. The pop-rock band -- which only recently made its major-label debut in July -- will livestream a performance on the premiere episode Friday, and an in-depth interview is set to stream Oct.
The October host is Shuichiro, an influential TikTok creator boasting over k followers on the short video platform. Through this joint project, Billboard Japan and TikTok aim to shed light on next-gen acts and create new ways for fans to experience live music, while exploring new ways to support artists through the expansion of features and program segments.
Viewers in the U. Search term. Billboard Pro Subscribe Sign In. Top Artists. Top Charts. Hot Songs. Billboard Top Videos. Top Articles. By Billboard Japan. Copied to clipboard. Click to copy.He made a bet with his brother that he could finish his chores first.
His brother won the bet. I'll bet that he makes the next shot. He always bets that the favorite will win. He lost a lot of money by betting on college football and basketball. I bet against the favorite and I lost. Government Bond Yields Rise," 18 Oct. Use the BET NOW app to watch exclusive content and livestream BET shows. Catch the latest episodes of your favorite TV series, like Being Mary Jane, The New Edition Story, The Quad, Real Husbands of Hollywood, F in Fabulous, Music Moguls and watch BET News specials.
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Best prices Join now Double your win. Betting is addictive and can be psychologically harmful.This tour is a perfect tour for a 'taste' of Iceland. But it leaves us hungry for more. Nordic Visitor made visiting Iceland very easy. Since some locations were in unpopulated areas we would have found it hard to choose where to stay. NV made the whole trip very stress-free. Margret was awesome to work with. Very responsive, very helpful even once we got there. A trip we will never forget.
The guest houses and hotels were awesome, and the activities were great.
Rental car was awesome and it was overall a fantastic trip. On our trip, we met a few other Americans. Told them about Nordic Visitor and they were impressed. I found Nordic Visitor's website very user-friendly. I love that all the documents sent was super easy to just hand the concierge and the 2 excursions we booked already had our names down. I loved the 2 excursions in the package we chose. Overall, it exceeded my expectations and I'm so glad I chose this particular trip.
We booked a couple tours outside of Nordic Visitor and saw a huge difference between what you booked and what we booked ourselves. The quality of the tours from Nordic Visitor were so much better than what we booked on our own.
We quickly regretted not working with you for our last minute additions. Hanna was great to work with and very accommodating with our requests. We recommended Nordic Visitor to many people we chatted with on our trip.
Thanks for a great trip. Even though all bookings were done by internet the process seemed very personal and I had every confidence that arrangements would be carried out without any hassles.
The trip was absolutely amazing and we had the time of our lives.
[Single] IDOL BU-SHOW : NO PRINCESS – MUST BE GOING! (2020.10.07/MP3/RAR)
Everything that Nordic Visitor arranged went perfectly and we had no issues whatsoever. The organization and professionalism of every aspect of the trip was remarkable.
Can't praise Nordic Visitor and Hanna Lara, in particular, enough. My daughter and I had an excellent time in Kiruna during the Chinese New Year. I would like to thank Sofia Sundkvist who assisted us throughout the trip. She is very responsive and accomodating. We slightly changed our plans and she always quickly responded to me by email and helped us with what we needed. Unfortunately I didn't get a chance to meet her in person, but all the people (from Nordic Visitor) whom we met throughout this trip are excellent people.
They always carry a smile, happy with what they are doing, experienced and knowledgeable. Everything was well planned out giving me enough time to see plenty with enough time to explore Reykjavik as well. It was great to have all the tours booked for me before arrival, so I only had to focus on relaxing and enjoying all the beauty that Iceland has to offer.
I will definitely consider booking another trip to Iceland or to any of the other locations Nordic Visitor offers. Thank you for such a great trip. Margret is an absolute superstar. She was attentive and fully understood my needs. I will be recommending Nordic Visitor to everyone I know who is seeking a great service in the areas you look after, and I will be using you guys again in the future.Filtering and Paginating Fields from a Model A model might be composed of hundreds or even thousands of fields.
Thus when retrieving a model, 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 a model, you need to PUT an object containing the fields that you want to update to the model' s base URL.
Once you delete a model, it is permanently deleted. If you try to delete a model a second time, or a model that does not exist, you will receive a "404 not found" response. However, if you try to delete a model that is being used at the moment, then BigML. To list all the models, you can use the model base URL. By default, only the 20 most recent models will be returned.
You can get your list of models directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your models. This is valid for both regression and classification models. Objective Weights: submitting a specific weight for each class in classification models. Automatic Balancing: setting the balance argument to true to let BigML automatically balance all the classes evenly.
Let's see each method in more detail. We can use it as an input to create a model that will use to weight each instance accordingly. In this case, fraudulent transactions will weigh 10 times more than valid transactions in the model building computations. You can just use one of the rows and add the corresponding count as a weight field. This will reduce the size of your sources enormously.
Objective Weights The second method for adding weights only applies to classification models. Each instance will be weighted according to its class weight. This means the example below is equivalent to the example above. If every weight does end up zero (this is possible with sampled datasets), then the resulting model will have a single node with a nil output. Each instance will be weighted individually according to the weight field's value. Confidence, importance, and pruning calculations also take weights into account.
You can create an ensemble just as you would create a model with the following three basic machine learning techniques: bagging, random decision forests, and gradient tree boosting. Bagging, also known as bootstrap aggregating, is one of the simplest ensemble-based strategies but often outperforms strategies that are more complex. The basic idea is to use a different random subset of the original dataset for each model in the ensemble.
You can read more about bagging here.