投稿時間:2020-11-17 03:35:08 RSSフィード2020-11-17 03:00 分まとめ(39件)

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AWS	AWS Partner Network (APN) Blog	AI-Driven Analytics at Any Scale with ThoughtSpot and Amazon Redshift	https://aws.amazon.com/blogs/apn/ai-driven-analytics-at-any-scale-with-thoughtspot-and-amazon-redshift/	AI Driven Analytics at Any Scale with ThoughtSpot and Amazon RedshiftThoughtSpot has developed a way for business people to easily answer their own data questions Search driven analytics is based on the concept that finding answers to business questions should be as easy as a basic internet search With ThoughtSpot there s no need for SQL expertise or lengthy training sessions rather simple searches are translated into database queries and answers are calculated on the fly	2020-11-16 17:52:49
AWS	AWS Networking and Content Delivery	Integrate your custom logic or appliance with AWS Gateway Load Balancer	https://aws.amazon.com/blogs/networking-and-content-delivery/integrate-your-custom-logic-or-appliance-with-aws-gateway-load-balancer/	Integrate your custom logic or appliance with AWS Gateway Load BalancerWe recently launched AWS Gateway Load Balancer GWLB a new service that helps customers deploy scale and manage third party virtual network appliances such as firewalls intrusion detection and prevention systems analytics visibility and others A new addition to the Elastic Load Balancer family AWS Gateway Load Balancer GWLB combines a transparent network gateway that is …	2020-11-16 17:35:51
js	JavaScriptタグが付けられた新着投稿 - Qiita	オブジェクトに何かを代入している処理を探す正規表現	https://qiita.com/Sigureya/items/7c8b062b3af72fcf051c	この場合、オブジェクトに代入処理をしているすべての処理を探り、その中から犯人を捜すことになる。	2020-11-17 02:44:38
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Unity 「buildSettings」の「Scenes in Build」に「Add Open Scenes」で追加したシーンがコードを変更すると消えるのを直したい	https://teratail.com/questions/304691?rss=all	Unity「buildSettings」の「ScenesinBuild」に「AddOpenScenes」で追加したシーンがコードを変更すると消えるのを直したいvisualnbspstadionbspnbspcommunityを使ってunityでDゲーム開発をしています。	2020-11-17 02:40:11
Ruby	Rubyタグが付けられた新着投稿 - Qiita	Ruby で URL を作るときのエスケープ処理	https://qiita.com/KenjiOtsuka/items/13d13aac41c3bd58db68	requirecgiCGIescapeampgtB使用例CGIescapeを使ってURLを組み立ててみます。	2020-11-17 02:10:32
Ruby	Rubyタグが付けられた新着投稿 - Qiita	Rubyの継承と委譲	https://qiita.com/tundes/items/9ebcf0137f0d93daeca9	例Baseクラスからすべのたメソッドを引継ぎ、Fooクラスを作成するclassBasedefmessageokendendclassFooltBaseendfooFoonewputsfoomessagegtok委譲特定の処理責任を他のクラスのメソッドに委ねることです。	2020-11-17 02:04:00
Apple	AppleInsider - Frontpage News	Verizon, Apple holding enterprise event focused on 5G & iPhone 12	https://appleinsider.com/articles/20/11/16/verizon-apple-holding-enterprise-event-focused-on-5g-iphone-12	Verizon Apple holding enterprise event focused on G amp iPhone On Nov Verizon is holding a virtual enterprise event with Apple focused on how business customers can fully utilize G and the new iPhone lineup in existing workflows Credit Andrew O Hara AppleInsiderDuring the event for global enterprise customers Verizon said it would unveil a special offer for enterprises on the iPhone lineup and introduce new options for enterprise G with Verizon Verizon Business CEO Tami Erwin will be joined by Apple VP of Markets App and Services Susan Prescott at the event It s slated for p m Eastern a m Pacific on Thursday Nov Read more	2020-11-16 17:50:09
Apple	AppleInsider - Frontpage News	Apple's MacBook business grew 39% in the September quarter	https://appleinsider.com/articles/20/11/16/apples-macbook-business-grew-39-in-the-september-quarter	Apple x s MacBook business grew in the September quarterApple s Mac notebook segment grew year over year in the third quarter of amid similar increases across the industry according to new data from Strategy Analytics Credit Andrew O Hara AppleInsiderThe company maintained its spot as the fourth largest manufacturer of notebook computers during the period shipping a total of six million macOS devices from July through September That period corresponds with Apple s fourth quarter Read more	2020-11-16 17:23:49
Apple	AppleInsider - Frontpage News	How to use Safari Translation in macOS 11 Big Sur	https://appleinsider.com/articles/20/11/16/how-to-use-safari-translation-in-macos-11-big-sur	How to use Safari Translation in macOS Big SurIt has limitations and it doesn t always work but the new website translation feature in macOS Big Sur Safari is superb Here s how to use it Safari s new translation feature is superbIf you have previously had to read a website that s written in language you don t know then there have long been tools to help you Doubtlessly you ve become familiar with Google Translate perhaps you ve come to rely on PopClip to speed up using that Read more	2020-11-16 17:12:16
海外科学	NYT > Science	Using Wolves as First Responders Against a Deadly Brain Disease	https://www.nytimes.com/2020/11/12/science/wolves-chronic-wasting-disease.html	against	2020-11-16 17:22:19
海外科学	NYT > Science	Trump Administration, in Late Push, Moves to Sell Oil Rights in Arctic Refuge	https://www.nytimes.com/2020/11/16/climate/trump-oil-drilling-alaska.html	Trump Administration in Late Push Moves to Sell Oil Rights in Arctic RefugeThe lease sales could occur just before Inauguration Day leaving the administration of Joseph R Biden Jr to try to reverse them after the fact	2020-11-16 17:47:25
海外科学	BBC News - Science & Environment	Moderna: Covid vaccine shows nearly 95% protection	https://www.bbc.co.uk/news/health-54902908	protectionthe	2020-11-16 17:28:29
ニュース	@日本経済新聞 電子版	富士フイルム、バイオ医薬成長へ　積極投資の継続カギ https://t.co/go0WhKllOH	https://twitter.com/nikkei/statuses/1328393110687158272	富士フイルム	2020-11-16 17:42:52
ニュース	@日本経済新聞 電子版	SDGs2020年番付表　総合力高いのはどの企業 https://t.co/OqPbbktChC	https://twitter.com/nikkei/statuses/1328392144239771648	総合力	2020-11-16 17:39:02
ニュース	@日本経済新聞 電子版	スー・チー氏「地滑り勝利」では埋まらぬ軍との相克 https://t.co/s3mvCAwwn8	https://twitter.com/nikkei/statuses/1328392143220609024	地滑り	2020-11-16 17:39:01
ニュース	@日本経済新聞 電子版	航空機燃料税の大幅軽減検討　政府・与党 https://t.co/WwGrts6WDF	https://twitter.com/nikkei/statuses/1328392142209708033	航空機燃料税	2020-11-16 17:39:01
ニュース	@日本経済新聞 電子版	米アップル、利用者の行動追跡　同意なく　欧活動家 https://t.co/f8WP4f7x8V	https://twitter.com/nikkei/statuses/1328392141219893248	追跡	2020-11-16 17:39:01
ニュース	@日本経済新聞 電子版	アサヒ「ドライ病」治せるか　成功体験のワナ https://t.co/GXliTYdGOJ	https://twitter.com/nikkei/statuses/1328392140112551936	成功体験	2020-11-16 17:39:01
ニュース	@日本経済新聞 電子版	エストニアから逆輸入　スタートアップが狙う本場超え https://t.co/r4Oga9vcIO	https://twitter.com/nikkei/statuses/1328392138124525568	逆輸入	2020-11-16 17:39:00
ニュース	@日本経済新聞 電子版	中国、環境車保護が鮮明　RCEPの関税撤廃品目 https://t.co/NkhuX5wSaR	https://twitter.com/nikkei/statuses/1328392137214361600	関税撤廃	2020-11-16 17:39:00
ニュース	@日本経済新聞 電子版	オムロンなど温暖化ガス2割削減　日経SDGs調査 https://t.co/8IHc4ulXFj	https://twitter.com/nikkei/statuses/1328392135968604160	温暖化	2020-11-16 17:39:00
海外ニュース	Japan Times latest articles	Hokkaido city calls in ‘Monster Wolf’ to scare off wild bears	https://www.japantimes.co.jp/news/2020/11/16/national/hokkaido-monster-wolf-wild-bears/	Hokkaido city calls in Monster Wolf to scare off wild bearsA mechanical wolf with fake fur bared fangs and flashing red eyes is keeping residents and crops safe in the face of increasing encounters with	2020-11-17 03:22:46
海外ニュース	Japan Times latest articles	Sapporo residents to be asked to stay home amid virus surge	https://www.japantimes.co.jp/news/2020/11/16/national/sapporo-residents-stay-home-coronavirus/	Sapporo residents to be asked to stay home amid virus surgeSapporo is expected to raise its alert for the pandemic to the fourth level the second highest of the five on the prefecture s coronavirus scale	2020-11-17 02:56:38
海外ニュース	Japan Times latest articles	Noguchi among four astronauts bound for ISS on SpaceX launch	https://www.japantimes.co.jp/news/2020/11/16/world/science-health-world/japan-soichi-noguchi-nasa-spacex/	spring	2020-11-17 02:42:20
海外ニュース	Japan Times latest articles	B. League All-Star Game to become two-day event	https://www.japantimes.co.jp/sports/2020/11/16/basketball/b-league/bleague-all-star-game-two-days/	B League All Star Game to become two day eventThe first night of the All Star event will feature a skills challenge dunk contest and three point contest The All Star Game will be played the next	2020-11-17 03:43:26
海外ニュース	Japan Times latest articles	Remembering the Okinawa rape incident that changed Japan-U.S. military relations	https://www.japantimes.co.jp/opinion/2020/11/16/commentary/japan-commentary/okinawa-rape-japan-us-military/	Remembering the Okinawa rape incident that changed Japan U S military relationsIt was twenty five years ago nearly to the day following the tragic early September rape of an Okinawan school girl in Kin Village Okinawa	2020-11-17 02:30:09
海外ニュース	Japan Times latest articles	A vaccine won’t derail the easy money train	https://www.japantimes.co.jp/opinion/2020/11/16/commentary/world-commentary/vaccine-coronavirus-stocks-economy/	stimulus	2020-11-17 02:30:04
ニュース	BBC News - Home	Moderna: Covid vaccine shows nearly 95% protection	https://www.bbc.co.uk/news/health-54902908	protectionthe	2020-11-16 17:28:29
ニュース	BBC News - Home	Manchester Arena Inquiry: BTP 'let people down' on night of bomb	https://www.bbc.co.uk/news/uk-england-manchester-54958952	ariana	2020-11-16 17:17:24
ニュース	BBC News - Home	EU budget blocked by Hungary and Poland over rule of law issue	https://www.bbc.co.uk/news/world-europe-54964858	countries	2020-11-16 17:01:10
ニュース	BBC News - Home	Kamala Harris: Facebook removes racist posts about US vice-president-elect	https://www.bbc.co.uk/news/technology-54941571	network	2020-11-16 17:40:06
ニュース	BBC News - Home	'Diabetes burnout': The mental-health impact of diagnosis	https://www.bbc.co.uk/news/education-54145335	support	2020-11-16 17:07:45
ビジネス	ダイヤモンド・オンライン - 新着記事	ワークマンの経営幹部は 極力出社しない - ワークマン式「しない経営」	https://diamond.jp/articles/-/252734	目標を定め、ノルマを決め、期限までにやりきるといった多くの企業がやっていることは一切しない。	2020-11-17 02:55:00
ビジネス	ダイヤモンド・オンライン - 新着記事	レベル分け教育は大間違い!? なぜ、「混ぜる教育」が重要なのか？ …神田昌典氏×星友啓校長対談9 - スタンフォード式生き抜く力	https://diamond.jp/articles/-/252358	レベル分け教育は大間違いなぜ、「混ぜる教育」が重要なのか…神田昌典氏×星友啓校長対談スタンフォード式生き抜く力スタンフォード大学・オンラインハイスクールはオンラインにもかかわらず、全米トップの常連で、年は全米の大学進学校位となった。	2020-11-17 02:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「創業者フレンドリー」な投資家のあり方について考える - 次代の経営をかんがえる	https://diamond.jp/articles/-/250694	資金	2020-11-17 02:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	テスラが 時価総額で世界第1位になれた 2つの理由とは？ - 起業大全	https://diamond.jp/articles/-/254372	出荷台数	2020-11-17 02:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	ベンチャーキャピタリストと美術教師が対話したら、「才能を爆発させる条件」が見えてきた - 13歳からのアート思考	https://diamond.jp/articles/-/254065	ベンチャーキャピタリストと美術教師が対話したら、「才能を爆発させる条件」が見えてきた歳からのアート思考佐俣アンリ氏と末永幸歩氏による異色の対談前編。	2020-11-17 02:35:00
北海道	北海道新聞	ＮＹ株一時、史上最高値　ワクチン試験結果を好感	https://www.hokkaido-np.co.jp/article/482236/	史上最高値	2020-11-17 02:01:57
GCP	Cloud Blog	The democratization of data and insights: Expanding Machine Learning Access	https://cloud.google.com/blog/products/data-analytics/democratization-of-ml-and-ai-with-google-cloud/	The democratization of data and insights Expanding Machine Learning AccessIn the first blog in this series we discussed how data availability data access and insight access have evolved over time and what Google Cloud is doing today to help customers democratize the production of insights across organizational personas In this blog we ll discuss why artificial intelligence AI and machine learning ML are critical to generating insights in today s world of big data as well as what Google Cloud is doing to expand access to this powerful method of analysis A report by McKinsey highlights the stakes at play by companies that fully absorb AI could double their cash flow while companies that don t could see a decline ML and AI have traditionally been seen as the domain of experts and specialists with PhDs so it s no surprise that many business leaders frame their ML goals around HR challenges creating new departments hiring new employees developing retaining programs for the existing workforce and so on But this isn t the way it has to be At Google Cloud we re focused not only on making the experts more efficient but also driving ML capabilities into the day to day work for anyone who works with data  For experts the traditional ML audience we ve built an entire suite of tools Our AI Platform makes it easy for them to rapidly iterate and turn ideas to deployment efficiently Across ML teams AI Hub makes it easier to collaborate with teammates to avoid duplicating work streams and get work done faster Finally TensorFlow Enterprise delivers supported and scalable TensorFlow in the cloud directly from the leading contributors to the OSS project us Making existing experts nimbler and faster helps them increase their output which expands access to ML within an organization  However to truly integrate ML throughout an entire organization we need to create tools that more personas can use to drive actionable insights Let s take a look at what Google Cloud is doing to democratize ML across three key personas data analysts developers and data engineers Data AnalystsData analysts as we mentioned in our first blog are the data analytics backbone of many Fortune companies They re experts within a data warehouse very comfortable with SQL and knowledgeable about the needs of the business We knew that to drive ML capabilities to this persona we would need to meet them where their expertise already was  That s exactly what BigQuery ML does it brings ML inside the data warehouse and it s deployed using just a few easy to use SQL statementsーmuch more familiar to analysts than the Python R and Scala reliant tools on which many data scientists rely When combined with BigQuery s ability to scale to larger data volumes than traditional enterprise data warehouses BigQueryML gives data analysts the ability to drive ML across vast amounts of data to uncover previously unseen insights There are a wide variety of available models within BigQuery that can help customers drive use cases as varied as recommendations segmentation anomaly detection forecasting and prediction Further if there s a need for custom models ML experts can build models to import into BigQuery where analysts can use them at scale  We ve seen customers in very different industries with very different use cases successfully deploy BigQuery ML Telus has used ML to deploy anomaly detection that secures its network UPS has used it to achieve precise package volume forecasting Geotab is driving smarter cities by blending ML and geospatial analytics and we ve even seen BigQuery ML deployed to predict movie audiences Beyond that we see retailers predicting purchasing financial services institutions determining insurance risk and gaming companies forecasting long term customer value This analysis would have been impossible for data analysts to drive in the past Today it s not only efficient but it also has a very quick path to production With the growing functionality of BigQuery ML data savvy team members have less need to also build expertise in transferring large amounts of data into and out of the BigQuery environment and learning how to parallelize and scale data pipelines to handle deployment By working directly in BigQuery for data cleaning model training and deployment you can spend more time focused on understanding the data and delivering value from it rather than moving it around Daniel Lewis Senior Data Scientist R amp D Specialist GeotabDevelopersFor the developer audience we ve developed two different types of services that democratize ML and serve as “building blocks in creating applications The first is a set of pre trained models that are easily accessible by APIs These APIs tackle many common use cases around sight language conversation and more For models that require more specificity such as identifying all trucks of a particular make and model versus general identification of a truck we offer AutoML custom models which empower developers to build domain specific customer models These tools have enabled companies like Keller Williams USA Today PWC AES Corporation and more With AutoML Vision nearly half of our inspection images no longer need human review Google is a great partner because their technology is consistently among the world leaders Nicholas Osborn Director AES Digital HubWhen it comes to building machine learning models at scale AutoML Tables gives developers as well as data scientists and analysts the ability to automatically build and deploy ML models on structured data with incredible speed A codeless interface not only makes it easy for anyone to build models and incorporate them into broader applications but it also saves time saves money and increases the quality of deployed ML models Using AutoML Tables we ve seen customers deliver marketing programs that delivered more subscribers per dollar spent and user engagement at of industry averages all by communicating to the right user in the right place at the right time Further these ML APIs do more than enable application developers For ETL developers using Cloud Data Fusion it s easy to integrate these APIs into your data integration pipelines to enhance and prepare analysis for downstream applications and users ML is now as easy as point click drag and drop Data EngineersThe final persona in our discussion of ML democratization is the data engineer It s worth mentioning that all of the personas we ve discussed benefit from the autoscaling nature of Google Cloud s platform which eliminates the need for time intensive tuning and provisioning of infrastructure to run ML models This work can disproportionately fall to data engineers or can turn data scientists into de facto data engineers as they try to productionize their models We ve worked to embed ML capabilities in both buckets of data engineering we see at Google the Dataproc oriented open source path as well as the cloud native Dataflow path Let s examine both For open source adherents and those familiar with Hadoop and Spark environments we make it easy to run SparkML jobs that you may be comfortable building or have previously built We have an easy to run Quicklab that can introduce you to the concept of ML with Spark on Dataproc and you can try that out with free credits We also give customers the ability to build custom OSS clusters on custom machines and do it fast to bring GPU powered ML to our customers Together with features announced earlier this year Dataproc users can now quickly deploy ML leverage easy to use notebooks schedule cluster deletion and more For data engineers using Dataflow Google Cloud has made it easy to use Tensorflow Extended TFX to build and manage ML workflows in production Working through Apache Beam Dataflow s SDK this integration yields a toolkit for building ML pipelines a set of standard components you can use as a part of a pipeline or ML training script and libraries for the base functionality of many standard components Our solutions teams are working to make this even easier releasing common patterns like anomaly detection which telco customers are putting to use for cybersecurity while banks use it to detect financial fraud  Wrapping upBringing ML capabilities to this broad set of new personas democratizes the most important aspect of big data generating insights that help businesses drive predictions new customer segments recommendations or more The deeper insights provided by ML are going to become more and more critical to business success which means the businesses that succeed are going to be the ones that can deploy ML and artificial intelligence widely At Google we know the best ideas tend to bubble up rather than get pushed down When your full organization has access to both data and the tools to analyze the data you re ready for whatever comes next If you d like to give machine learning a try today the BigQuery sandbox is a great and free place to get started trying out BigQuery ML Having discussed the importance of democratizing data insights and ML our next blog will address how to take advantage of these insights in real timeーa critical piece of delighting customers and staying ahead of the competition	2020-11-16 17:30:00