投稿時間:2021-01-28 05:35:04 RSSフィード2021-01-28 05:00 分まとめ(36件)

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AWS	AWS Management Tools Blog	How to implement a read-only service control policy (SCP) for accounts in AWS Organizations	https://aws.amazon.com/blogs/mt/implement-read-only-service-control-policy-in-aws-organizations/	How to implement a read only service control policy SCP for accounts in AWS OrganizationsCustomers who manage multiple AWS accounts in AWS Organizations can use service control policies SCPs to centrally manage permissions in their environment SCPs can be applied to an organization unit OU account or entire organization to restrict the maximum permissions that can be applied in the scoped AWS accounts In this post we are going to explore the use of SCPs to restrict an AWS account to read only access	2021-01-27 19:47:43
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	埋め込みしたGoogleマップが印刷プレビューに表示されません	https://teratail.com/questions/318963?rss=all	埋め込みしたGoogleマップが印刷プレビューに表示されません下記の問題につきまして、ご存知の方いらっしゃいましたら、ご教示お願いいたします。	2021-01-28 04:25:30
海外TECH	Ars Technica	“Warp speed,” “Prime Directive” predate Star Trek, per new reference tool	https://arstechnica.com/?p=1737615	online	2021-01-27 19:54:14
海外TECH	Ars Technica	Microsoft earnings: Xbox hardware sales shot up 86% with Series X/S	https://arstechnica.com/?p=1737676	highs	2021-01-27 19:40:37
海外TECH	Ars Technica	Samsung’s reportedly ready to supply foldable displays to rival companies	https://arstechnica.com/?p=1737651	chinese	2021-01-27 19:22:13
海外TECH	Ars Technica	The complete moron’s guide to GameStop’s stock roller coaster	https://arstechnica.com/?p=1737671	rally	2021-01-27 19:10:50
Apple	AppleInsider - Frontpage News	iCloud Keychain coming to Google Chrome on Windows for the first time	https://appleinsider.com/articles/21/01/27/icloud-keychain-coming-to-google-chrome-on-windows-for-the-first-time	iCloud Keychain coming to Google Chrome on Windows for the first timeApple has updated the iCloud for Windows app with a new feature that will soon let users access their iCloud Keychain passwords in Google Chrome iCloud for Windows now supports keychain syncingAccording to release notes for the latest update the app now offers support for iCloud Passwords Chrome extension Upon updating the app users will see a new passwords section within the app Users will be prompted to download the new Chrome extension required to take advantage of the feature Read more	2021-01-27 19:44:49
Apple	AppleInsider - Frontpage News	Apple now selling AirPods Max ear cushions separately	https://appleinsider.com/articles/21/01/27/apple-now-selling-airpods-max-ear-cushions-separately	Apple now selling AirPods Max ear cushions separatelyApple is now selling standalone AirPods Max ear cushions on its online store with an estimated delivery date within a couple of days Those looking to snag a replacement or additional pair of AirPods Max ear cushions will be able to buy a pair for according to a new listing on the Apple web store While they re currently being touted as coming soon the delivery estimator shows a delivery date of January at the earliest As of publication that s a two day turnaround time Read more	2021-01-27 19:38:45
Apple	AppleInsider - Frontpage News	iPad production to begin in Vietnam as Apple reduces reliance on China	https://appleinsider.com/articles/21/01/27/ipad-production-to-begin-in-vietnam-as-apple-reduces-reliance-on-china	iPad production to begin in Vietnam as Apple reduces reliance on ChinaApple will move a significant portion of its iPad production to Vietnam as part of a continuing effort to diversify its supply chain a new report claims Apple continues effort to reduce reliance on ChinaA report from Nikkei indicates that Apple is planning to shift production of a significant number of iPads to Vietnam One source at Apple supplier Foxconn said that the production shift could start as early as mid marking the first time that the company has made a major portion of its tablets outside of China s borders Read more	2021-01-27 19:04:17
海外TECH	Engadget	BMW tries to get ahead of its supply curve using quantum computing	https://www.engadget.com/bmw-quantum-computing-honeywell-192942712.html	BMW tries to get ahead of its supply curve using quantum computingBMW is starting to embrace quantum computing to optimize its supply chains The automaker has started testing Honeywell systems to help it determine the best components to buy at the right time without disrupting production While one supplier might	2021-01-27 19:29:42
海外TECH	Engadget	Strega is a compact modular synth for crafting dreamscapes or hellscapes	https://www.engadget.com/strega-analog-drone-synthesizer-make-noise-alessandro-cortini-nine-inch-nails-192344791.html	Strega is a compact modular synth for crafting dreamscapes or hellscapesMake Noise primarily traffics in experimental Eurorack modules like Morphagene and Maths But a few years ago it made a play for a more entry level space with the Coast a compact modular synthesizer that blended the two popular schools of synthesi	2021-01-27 19:23:55
海外TECH	Engadget	Disney+ restricts kids from watching content with racist stereotypes	https://www.engadget.com/disney-plus-restricts-kids-accounts-191230707.html	Disney restricts kids from watching content with racist stereotypesLast fall Disney added content warnings on Disney to flag some of the racist content it had produced in the past Now the company is taking an additional step to provide children the proper context when seeing those titles In a move spotted by Pol	2021-01-27 19:12:30
海外TECH	Engadget	MIT's oncological risk AI calculates cancer chances regardless of race	https://www.engadget.com/mi-ts-oncological-risk-algorithm-calculates-cancer-chances-across-all-races-190033653.html	MIT x s oncological risk AI calculates cancer chances regardless of raceArtificial intelligence and machine learning systems continue to be adopted into an ever wider array of healthcare applications such as assisting doctors with medical image diagnostics Capable of understanding X rays and rapidly generating MRIs	2021-01-27 19:00:33
海外科学	NYT > Science	President Biden to Sign Executive Order, Pausing Oil and Gas Leasing	https://www.nytimes.com/2021/01/27/climate/biden-climate-executive-orders.html	President Biden to Sign Executive Order Pausing Oil and Gas LeasingThe president on Wednesday signed an array of executive orders elevating climate change at every level of the federal government The fossil fuel industry expressed strong opposition	2021-01-27 19:05:43
医療系	医療介護 CBnews	各加算のコスパを考えて効果的な算定を-快筆乱麻！masaが読み解く介護の今（61）	https://www.cbnews.jp/news/entry/20210125203751	介護報酬	2021-01-28 05:00:00
海外ニュース	Japan Times latest articles	Tokyo Olympics member says games going ahead ‘is up to the U.S.’	https://www.japantimes.co.jp/news/2021/01/27/national/olympics-tokyo-2020-member-games-u-s/	Tokyo Olympics member says games going ahead is up to the U S The International Olympic Committee and Japanese organizers have been increasingly bullish in recent weeks about the prospect of holding the postponed games	2021-01-28 04:54:58
海外ニュース	Japan Times latest articles	‘A Family’: This sentimental ode to yakuza life ignores reality	https://www.japantimes.co.jp/culture/2021/01/27/films/film-reviews/a-family/	sentimentality	2021-01-28 05:10:18
海外ニュース	Japan Times latest articles	Expect revivals and VR from the stage as theater continues to deal with the coronavirus	https://www.japantimes.co.jp/culture/2021/01/27/stage/revivals-and-virtual-reality-stage/	Expect revivals and VR from the stage as theater continues to deal with the coronavirusIn his anthem “The Times They Are A Changin Bob Dylan sings “As the present now Will later be past The order is	2021-01-28 05:00:02
ニュース	BBC News - Home	Philippa Day: Benefit errors 'predominant factor' in mum's death	https://www.bbc.co.uk/news/uk-england-nottinghamshire-55826996	deathphilippa	2021-01-27 19:21:28
ニュース	BBC News - Home	Biden signs 'existential' executive orders on climate and environment	https://www.bbc.co.uk/news/world-us-canada-55829189	climate	2021-01-27 19:29:56
ニュース	BBC News - Home	Gamestop: 'Failing' firm soars in value as amateurs buy stock	https://www.bbc.co.uk/news/business-55817918	investors	2021-01-27 19:20:07
ニュース	BBC News - Home	Covid hotel quarantine: 'It's the luck of the draw'	https://www.bbc.co.uk/news/uk-55813987	scheme	2021-01-27 19:18:04
ビジネス	ダイヤモンド・オンライン - 新着記事	ベンチャー「IPO難民問題」に商機！監査法人の準大手・中小が逆襲 - 激動！会計士	https://diamond.jp/articles/-/260433	新規株式公開	2021-01-28 05:00:00
ビジネス	ダイヤモンド・オンライン - 新着記事	緊急事態宣言の今こそ身につけるべき究極の時間管理法「構造化」とは？ - 経営・戦略デザインラボ	https://diamond.jp/articles/-/261051	緊急事態	2021-01-28 04:55:00
ビジネス	ダイヤモンド・オンライン - 新着記事	星野リゾート代表が直伝！雇用調整助成金が経営をここまで変えた【動画】 - 星野リゾート代表が緊急提言！コロナ禍を生き残る経営戦略	https://diamond.jp/articles/-/261049	星野リゾート代表が直伝雇用調整助成金が経営をここまで変えた【動画】星野リゾート代表が緊急提言コロナ禍を生き残る経営戦略コロナ第波の拡大と緊急事態宣言をどのように乗り越えることができるのかその大きな鍵を握るのが、雇用調整助成金の制度だ。	2021-01-28 04:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	コロナ禍でカルチャーをどう変えるか？2021年に生き残る組織とは - アフターコロナの組織像	https://diamond.jp/articles/-/259895	コロナ禍でカルチャーをどう変えるか年に生き残る組織とはアフターコロナの組織像リモートワークやオンライン化がより普及すると雇用のあり方が変わるだけでなく、連動して組織全体を変えていく必要がある。	2021-01-28 04:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	星野リゾート代表が喝破、67年前の松下幸之助「観光立国論」にこそ本質あり - 星野リゾート代表・星野佳路さんと考える「これからの観光」	https://diamond.jp/articles/-/259067	星野リゾート代表が喝破、年前の松下幸之助「観光立国論」にこそ本質あり星野リゾート代表・星野佳路さんと考える「これからの観光」コロナ禍を経て、観光業が今後目指すべき道とは半世紀以上前に松下幸之助氏が国際観光の意義を唱えるなど、日本において「観光立国」政策はどのような変遷をたどってきたのか、また、今からわれわれが目指すべき「観光立国」の姿とはどのようなものか、星野リゾート代表・星野佳路さんと考えていきます。	2021-01-28 04:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	漫画『AKIRA』の予言は現実になるか？無観客の五輪会場をコロナが直撃 - 情報戦の裏側	https://diamond.jp/articles/-/261048	akira	2021-01-28 04:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	コロナ禍で離婚・再婚が増えれば、「相続」問題も増えるか - News&Analysis	https://diamond.jp/articles/-/261047	newsampampanalysis	2021-01-28 04:30:00
ビジネス	ダイヤモンド・オンライン - 新着記事	1日6万円の時短協力金は、飲食業の経営には「過剰気味」な現状 - 野口悠紀雄　新しい経済成長の経路を探る	https://diamond.jp/articles/-/261046	時間短縮	2021-01-28 04:25:00
ビジネス	ダイヤモンド・オンライン - 新着記事	バイデン政権、サウジへの武器売却を一時凍結＝関係筋 - WSJ発	https://diamond.jp/articles/-/261149	関係筋	2021-01-28 04:24:00
ビジネス	ダイヤモンド・オンライン - 新着記事	日本酒メーカーが「ユダヤ教の食品認証」を相次ぎ取得する理由、獺祭に南部美人も - News&Analysis	https://diamond.jp/articles/-/261045	newsampampanalysis	2021-01-28 04:20:00
ビジネス	ダイヤモンド・オンライン - 新着記事	一橋大／東工大「就職先企業・団体」ランキング2020！東工大1位はソニー、一橋大1位は？ - 就活最前線	https://diamond.jp/articles/-/260815	一橋大学	2021-01-28 04:10:00
ビジネス	ダイヤモンド・オンライン - 新着記事	一橋大／東工大「就職先企業・団体」ランキング2020！【全20位・完全版】 - 就活最前線	https://diamond.jp/articles/-/260809	一橋大学	2021-01-28 04:10:00
ビジネス	ダイヤモンド・オンライン - 新着記事	赤ちゃんがステーキにしゃぶりつく!?米国で人気急騰の離乳食とは？ - News&Analysis	https://diamond.jp/articles/-/260968	赤ちゃんがステーキにしゃぶりつく米国で人気急騰の離乳食とはNewsampampAnalysis離乳食の進めかたに正解は存在せず、親と赤ちゃんが自分たちに合ったスタイルを選ぶのが一番。	2021-01-28 04:05:00
GCP	Cloud Blog	How to build demand forecasting models with BigQuery ML	https://cloud.google.com/blog/topics/developers-practitioners/how-build-demand-forecasting-models-bigquery-ml/	How to build demand forecasting models with BigQuery MLRetail businesses have a goldilocks problem when it comes to inventory don t stock too much but don t stock too little With potentially millions of products for a data science and engineering team to create multi millions of forecasts is one thing but to procure and manage the infrastructure to handle continuous model training and forecasting this can quickly become overwhelming especially for large businesses With BigQuery ML you can train and deploy machine learning models using SQL With the fully managed scalable infrastructure of BigQuery this means reducing complexity while accelerating time to production so you can spend more time using the forecasts to improve your business So how can you build demand forecasting models at scale with BigQuery ML for thousands to millions of products like for this liquor product below In this blogpost I ll show you how to build a time series model to forecast the demand of multiple products using BigQuery ML Using Iowa Liquor Sales data I ll use months of historical transactional data to forecast the next days You ll learn how to pre process data into the correct format needed to create a demand forecasting model using BigQuery MLtrain an ARIMA based time series model in BigQuery MLevaluate the modelpredict the future demand of each product over the next n daystake action on the forecasted predictions create a dashboard to visualize the forecasted demand using Data Studiosetup scheduled queries to automatically re train the model on a regular basisThe data Iowa Liquor SalesThe Iowa Liquor Sales data which is hosted publicly on BigQuery is a dataset that contains the spirits purchase information of Iowa Class “E liquor licensees by product and date of purchase from January to current from the official documentation by the State of Iowa The raw dataset looks like this As on any given date there may be multiple orders of the same product we need to Calculate the total of products sold grouped by the date and the productCleaned training dataIn the cleaned training data we now have one row per date per item name the total amount sold on that day This can be stored as a table or view In this example this is stored as bqmlforecast training data using CREATE TABLE Train the time series model using BigQuery MLTraining the time series model is straight forward  How does time series modeling work in BigQuery ML When you train a time series model with BigQuery ML multiple models components are used in the model creation pipeline ARIMA is one of the core algorithms Other components are also used as listed roughly in the order the steps they are run Pre processing Automatic cleaning adjustments to the input time series including missing values duplicated timestamps spike anomalies and accounting for abrupt level changes in the time series history Holiday effects Time series modeling in BigQuery ML can also account for holiday effects By default holiday effects modeling is disabled But since this data is from the United States and the data includes a minimum one year of daily data you can also specify an optional HOLIDAY REGION With holiday effects enabled spike and dip anomalies that appear during holidays will no longer be treated as anomalies A full list of the holiday regions can be found in the HOLIDAY REGION documentation Seasonal and trend decomposition using the Seasonal and Trend decomposition using Loess STL algorithm Seasonality extrapolation using the double exponential smoothing ETS algorithm Trend modeling using the ARIMA model and the auto ARIMA algorithm for automatic hyper parameter tuning In auto ARIMA dozens of candidate models are trained and evaluated in parallel which include p d q and drift The best model comes with the lowest Akaike information criterion AIC Forecasting multiple products in parallel with BigQuery MLYou can train a time series model to forecast a single product or forecast multiple products at the same time which is really convenient if you have thousands or millions of products to forecast To forecast multiple products at the same time different pipelines are run in parallel  In this example since you are training the model on multiple products in a single model creation statement you will need to specify the parameter TIME SERIES ID COL as item name Note that if you were only forecasting a single item then you would not need to specify TIME SERIES ID COL For more information see the BigQuery ML time series model creation documentation Evaluate the time series modelYou can use the ML EVALUATE function documentation to see the evaluation metrics of all the created models one per item As you can see in this example there were five models trained one for each of the products in item name The first four columns non seasonal p d q and has drift define the ARIMA model The next three metrics log likelihood AIC and variance are relevant to the ARIMA model fitting process The fitting process determines the best ARIMA model by using the auto ARIMA algorithm one for each time series Of these metrics AIC is typically the go to metric to evaluate how well a time series model fits the data while penalizing overly complex models As a rule of thumb the lower the AIC score the better Finally the seasonal periods detected for each of the five items happened to be the same WEEKLY Make predictions using the modelMake predictions using ML FORECAST syntax documentation which forecasts the next n values as set in horizon You can also change the confidence level the percentage that the forecasted values fall within the prediction interval The code below shows a forecast horizon of which means to make predictions on the next days since the training data was daily Since the horizon was set to the result contains rows equal to forecasted value number of items Each forecasted value also shows the upper and lower bound of the prediction interval given the confidence level As you may notice the SQL script uses DECLARE and EXECUTE IMMEDIATE to help parameterize the inputs for horizon and confidence level As these HORIZON and CONFIDENCE LEVEL variables make it easier to adjust the values later this can improve code readability and maintainability To learn about how this syntax works you can read the documentation on scripting in Standard SQL Plot the forecasted predictions You can use your favourite data visualization tool or use some template code here on Github for matplotlib and Data Studio as shown below How do you automatically re train the model on a regular basis If you re like many retail businesses that need to create fresh time series forecasts based on the most recent data you can use scheduled queries to automatically re run your SQL queries which includes your CREATE MODEL ML EVALUATE or ML FORECAST queries Create a new scheduled query in the BigQuery UIYou may need to first Enable Scheduled Queries before you can create your first one Input your requirements e g repeats Weekly and select Schedule Monitor your scheduled queries on the BigQuery Scheduled Queries pageExtra tips on using time series with BigQuery MLInspect the ARIMA model coefficientsIf you want to know the exact coefficients for each of your ARIMA models you can inspect them using ML ARIMA COEFFICIENTS documentation For each of the models ar coefficients shows the model coefficients of the autoregressive AR part of the ARIMA model Similarly ma coefficients shows the model coefficients of moving average MA part They are both arrays whose lengths are equal to non seasonal p and non seasonal q respectively The intercept or drift is the constant term in the ARIMA model SummaryCongratulations You now know how to train your time series models using BigQuery ML evaluate your model and use the results in production  Code on GithubYou can find the full code in this Jupyter notebook on Github Join me on February for a live walkthrough of how to train evaluate and forecast inventory demand on retail sales data with BigQuery ML I ll also demonstrate how to schedule model retraining on a regular basis so your forecast models can stay up to date You ll have a chance to have their questions answered by Google Cloud experts via chat Want more I m Polong Lin a Developer Advocate for Google Cloud Follow me on polonglin or connect with me on Linkedin at linkedin com in polonglin Please leave me your comments with any suggestions or feedback Thanks to reviewers Abhishek Kashyap Karl WeinmeisterRelated ArticleRetailers find flexible demand forecasting models in BigQuery MLTry BigQuery s design pattern for demand forecasting to create predictive analytics models for retail use cases Read Article	2021-01-27 19:30:00