投稿時間:2022-05-25 03:35:22 RSSフィード2022-05-25 03:00 分まとめ(34件)

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IT	気になる、記になる…	Apple、｢WWDC22｣の基調講演を現地時間6月6日午前10時より開催へ	https://taisy0.com/2022/05/25/157274.html	apple	2022-05-24 17:35:48
AWS	AWS Government, Education, and Nonprofits Blog	Ordering free COVID-19 test kits with the help of the cloud	https://aws.amazon.com/blogs/publicsector/ordering-free-covid-19-test-kits-with-the-help-of-the-cloud/	Ordering free COVID test kits with the help of the cloudThis year to help mitigate the spread of COVID the Biden administration committed to making free COVID test kits available to U S households through covidtests gov AWS is honored to support this initiative by working with the U S Postal Service USPS to make sure the website for test kit ordering meets nationwide demand	2022-05-24 17:24:33
AWS	AWS	Monitoring AWS workloads with Amazon Managed Services (AMS) | Amazon Web Services	https://www.youtube.com/watch?v=CuNy1CWE9zQ	Monitoring AWS workloads with Amazon Managed Services AMS Amazon Web ServicesHow to proactively monitor your AWS workloads xx with AWS Managed Services AMS Learn more Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster AWS AmazonWebServices CloudComputing	2022-05-24 17:07:17
AWS	AWS - Webinar Channel	The top 7 ways to operationalize AWS Security Hub - AWS Online Tech Talks	https://www.youtube.com/watch?v=ZEgCsKHPpFI	The top ways to operationalize AWS Security Hub AWS Online Tech TalksAWS Security Hub is a cloud security posture management service that performs security best practice checks aggregates alerts and enables automated remediation In this tech talk we will provide detailed guidance and templates to operationalize security findings in Security Hub so you can maximize the value that you get from it Join us for a walkthrough of how to enrich Security Hub findings with account metadata create a bidirectional integration with a ticketing system build auto suppression rules and correlate findings We ll also show you how to set up automated and on demand remediation actions integrate Security Hub with BI tools for advanced visualizations and schedule weekly summary emails Learning Objectives Objective Understand how to detect deviations from security best practices with a single click Objective Explore how to correlate your security findings to discover new insights Objective Learn how you can accelerate mean time to resolution with automated response and remediation actions To learn more about the services featured in this talk please visit	2022-05-24 17:00:30
Google	Official Google Blog	Apple Music is now available on Waze	https://blog.google/waze/apple-music-is-now-available-on-waze/	Apple Music is now available on WazeFor years Waze has partnered with audio services to give you the best safest and most fun driving experience Starting today Apple Music will seamlessly integrate with Waze so you can keep your eyes on the road while enjoying the ride With a direct connection between the apps you can now access Apple Music content directly from the Waze Audio Player Enjoy more than million songs tens of thousands of curated playlists Apple Music Radio and more while you navigate We re thrilled to join forces with Apple Music to bring Apple Music subscribers their tunes while driving with Waze on iPhone	2022-05-24 18:00:00
python	Pythonタグが付けられた新着投稿 - Qiita	エロマーケットプレースの研究シリーズ 5: LightGBM で人気コンテンツの特徴を調べる (完）	https://qiita.com/c1z/items/ad4aa7427ed43abebc49	lightgbm	2022-05-25 02:42:38
python	Pythonタグが付けられた新着投稿 - Qiita	エロマーケットプレースの研究シリーズ 4: MeCab にサイトに出てくる未知語のエロ単語を登録	https://qiita.com/c1z/items/90b3eb9c34df8ad25755	mecab	2022-05-25 02:19:56
海外TECH	Ars Technica	500 Hz Asus monitor promises fewer visual artifacts, less latency than ever	https://arstechnica.com/?p=1855975	levels	2022-05-24 17:41:56
海外TECH	Ars Technica	Gorr the God Butcher is coming for Thor in new Love and Thunder trailer	https://arstechnica.com/?p=1855978	odinson	2022-05-24 17:19:38
海外TECH	MakeUseOf	How to Color Code Your Folders in Google Drive	https://www.makeuseof.com/color-code-folders-google-drive/	google	2022-05-24 17:45:13
海外TECH	MakeUseOf	How to Check If Someone Else Is Accessing Your Facebook Account	https://www.makeuseof.com/tag/check-accessing-facebook-account/	How to Check If Someone Else Is Accessing Your Facebook AccountIt s bad news if someone has access to your Facebook account without your knowledge Learn how to know if Facebook account has been breached	2022-05-24 17:40:14
海外TECH	MakeUseOf	8 Unique DIY Speaker Projects	https://www.makeuseof.com/unique-diy-speaker-projects/	projects	2022-05-24 17:30:13
海外TECH	MakeUseOf	How to Download Flash Videos and Content on Websites	https://www.makeuseof.com/tag/how-to-download-embedded-flash-swf-files-using-your-browser/	downloaders	2022-05-24 17:30:14
海外TECH	MakeUseOf	How to Import Invalid MP3 Files Into iTunes on Windows	https://www.makeuseof.com/windows-invalid-mp3-itunes/	windows	2022-05-24 17:15:14
海外TECH	DEV Community	Introducing DigitalOcean Functions: A powerful serverless computing solution	https://dev.to/digitalocean/introducing-digitalocean-functions-a-powerful-serverless-computing-solution-3c48	Introducing DigitalOcean Functions A powerful serverless computing solutionDigitalOcean is committed to providing products that serve developers throughout their journey and access to serverless computing has been one of the most popular requests from DigitalOcean users who want to spend less time managing their infrastructure and more time building impactful applications In recent years serverless computing has gained tremendous popularity among developers building modern apps and according to IDC s IaaSView buyer survey of cloud IaaS buyers intend to utilize serverless functions in the next months In September DigitalOcean acquired Nimbella to accelerate our introduction of serverless computing and today we re delighted to announce the general availability of our serverless product  DigitalOcean Functions  DigitalOcean Functions is a fast scalable and cost effective compute solution that enables you to build quickly scale automatically and save costs by removing the need to pay for idle resources Functions are snippets of code that run in response to event based triggers and builders of all kinds can now create serverless functions on DigitalOcean for a variety of purposes including serverless APIs for your web apps and mobile apps Benefits of DigitalOcean FunctionsDigitalOcean Functions enable higher developer productivity and lower operating costs Some of the benefits include   Enabling developers to focus more on their code Since the provisioning and scaling of resources are managed by DigitalOcean you can spend your valuable time improving your app Saving costs by eliminating the need to maintain idle servers Since functions run in response to certain events you pay for resources only when they are running Automatic scaling based on demand DigitalOcean will handle scaling of the infrastructural components so you don t have to   Getting to market faster without having to learn complex infrastructure oriented concepts such as containers and Kubernetes You can write functions in your preferred language and deploy them easily in just a few steps Why use DigitalOcean FunctionsWith DigitalOcean Functions we manage the resources and automatically scale them either up or down based on demand This solution is uniquely positioned to serve the needs of developers and businesses by providing the ability to Build apps that require on demand functions as well as long running containers  In many scenarios developers want to extend their apps running on containers or static sites with serverless components For example a developer with a container based app could add a function as an API endpoint enabling them to easily extend their app running on containers with serverless components This results in faster time to market and lower costs since they don t need to pre provision containers and means variations in traffic to parts of the app are handled without a full app rewrite Test your functions before pushing to production  DigitalOcean Functions includes a developer console and a command line tool so you can develop functions locally using your favorite editors and IDEs ship quickly to the cloud and test your serverless functions before committing your code to GitHub or GitLab to deploy your app to production The developer tooling is free to use conveniently accessible from your local terminal and available to you out of the box Seamlessly integrate with Managed Databases  DigitalOcean offers a comprehensive set of services including Managed Databases for MySQL Redis PostgreSQL and MongoDB so that you can easily add a managed database in the app creation workflow Your app can have a DigitalOcean functions component that s triggered based on HTTP requests to update the database For example if you have an e commerce site and a user adds an item to the shopping cart an API can trigger a function to update the database that maintains inventory data Connections to the database utilize security features such as trusted sources Enjoy support for common languages and runtimes  DigitalOcean Functions supports many of the most popular runtimes including Node js Python Go and PHP We take care of applying patches and other updates to ensure the execution environment is stable and secure Pricing documentation and availability You get GB seconds of usage for free per month and overages are charged at GB second There is no separate charge for function invocations In other words the pricing is simpler more affordable and predictable Please refer to the pricing page to learn more about the limits of memory and runtime for DigitalOcean Functions   Regional availability DigitalOcean Functions will be available in NYC AMS SFO SGP LON FRA TOR BLR regions Documentation View our documentation to learn more Sample apps Learn about sample apps available for DigitalOcean Functions Walkthrough video See below for a walkthrough of DigitalOcean Functions Looking forward Over the next few months we ll be adding more ways for you to invoke and configure your functions such as background functions scheduling and many more exciting use cases We ll also be adding support for more language runtimes and scheduled functions Stay tuned for more updates  We hope that you re excited about this release and that you ll give DigitalOcean Functions a try Check out the docs for more information and join our upcoming serverless event in the Americas and APAC to dive deeper into the product how to guidance and use cases on June If you d like to have a conversation about using DigitalOcean Functions in your business please contact our sales team Happy coding Serverless Business Unit at DigitalOcean	2022-05-24 17:50:16
海外TECH	DEV Community	Should I search for a job, and then move? Or move and then search?	https://dev.to/sloan/should-i-search-for-a-job-and-then-move-or-move-and-then-search-5116	Should I search for a job and then move Or move and then search This is an anonymous post sent in by a member who does not want their name disclosed Please be thoughtful with your responses as these are usually tough posts to write Email sloan dev to if you d like to leave an anonymous comment or if you want to ask your own anonymous question I m hoping to move somewhere else in the next year and wondering Should I get a job and then move to where it is or should I move and then search for jobs I really want a fresh start in a new town with a new job but I don t know which should come first I feel like I could argue for both sides so I d love some advice from other people	2022-05-24 17:38:52
海外TECH	DEV Community	Towards understanding ML predictions - Introduction	https://dev.to/malakar_soham/towards-understanding-ml-predictions-introduction-26nc	Towards understanding ML predictions   IntroductionLet s say we want to quarantine people who have been exposed to a newly discovered virus that has a few symptoms in order to subdue it as soon as possible However the symptoms overlap with the common flu virus and we have a Machine Learning ML model trained to predict the virus in accordance with the symptom In order to know what symptoms point to which pathogens and by how much importance we definitely have to explain the predictions Similarly many a time it might have occurred why does an ML model predict something and what might be the triggers for it For basic models like Logistic Regression or Naive Bayes explaining the model might be fairly simple but for models like Neural Networks things get a bit complex In this article we will try to understand how all sorts of models can be explained without diving into too many technical details ContentsWhat is model explainabilityWhy should we care Explainable approachesAccuracy and intelligibility trade offFuture WorkReferencesFootnote What is model explainabilityModel explainability refers to how accurately we can explain the model s predictions or explain patterns for the predictions For example let s say we have trained a model to predict if a person has Covid or not depending on symptoms This can help us determine which symptom is the most potent in classifying the person having Covid Why should we care For simpler models we might not have to need to explain the model However for more complex models or if we are skeptical about a model s prediction model explainability can help us  More often than not every ML model has a goal to achieve For certain applications the goal is to have high recall whereas for certain high precision Let s say you run a model and the P R numbers are not in the range you were expecting In order to reach the goal you need to understand the model A few other questions about any model are  Why did our model make a mistake Explainability can help us understand the importance of features and how it affects a modelDoes our model discriminate Let s say there is an imbalanced dataset and the model overfits a particular class For instance there are many AI enabled photo post processing where the AI is trained on Europeans and Americans so when it does post processing for any other ethnic group the photos don t look natural How can we understand and trust the model s decision Every ML engineer has trust issues with his model when it comes to the production environment Explaining the model helps build that trust Are we in a high risk environment There might be times when there is no room for false positives in predictions like ruling out if a person has cancer or not In these scenarios explaining the model is heavily required Explainable approachesThere are ways of explaining any ML model Glass box modelsBlack box explanationLet us try to understand them in greater details Glass box modelsThese models are built in such a way that they are inherently explainable This means no extra steps are required to explain a model after the training the model all explanations become a part of the model during the training stage itself In simple words if we want the explanations we just need to call an inbuilt method that fetches us the explanations Since these models are designed to be interpretable it provides us with exact and accurate explainability for any prediction i e no approximations Using this reasoning how the models make a decision becomes very easy A few examples of glass box models are Explainable boosting machines EBM linear models decision trees and GAMs Black box explanationsUnlike glass box models black box explanations are made by training a wrapper on top of existing models In this approach the wrapper on top of the model tries to explain the model by varying the inputs and outputs of the model To understand it further let s take an example Consider a castle with gates entry and exit Both the gates have guards and they are constantly communicating with each other through some medieval telephone Now two people    and years old enter the castle in a queue and come out as and years old people respectively The guards discuss the changes and say that they have grown old by They further go on to discuss that the older the people the more they age Though the example is a bit contrived it clears the concept The biggest advantage of this approach is that since it s like a wrapper it can work on any model However its biggest disadvantage is that depending on the varying outputs it gives an approximate explainability which might be incorrect in a few scenarios A few examples of black box explanations are SHAP LIME global surrogate PDP Accuracy and intelligibility trade offLet s first define the terms Accuracy is the measure of how many correct predictions our model is able to provide Intelligibility is how easy it is to explain the model There is this constant trade off with simpler models having high intelligibility but a lower accuracy and complex models having higher accuracy but lower intelligibility It is observed in most cases that the simpler models like logistic regression Decision trees have high intelligibility but low accuracy and it s the exact opposite for complex models like Random Forests and Neural Nets Now the question arises of which algorithm to use We will explore more on this in the next article ConclusionModel explainability is an actively researched area in ML with promising outcomes It can speed up the lifecycle of ML pipelines by easily explaining the models In the next article we will learn more about glass box and black box models and how to remove the accuracy vs intelligibility trade off ReferencesMolnar C Interpretable Machine Learning A Guide for Making Black Box Models Explainable nd ed Kübler R The Explainable Boosting Machine Special thanks to Yash Govind for his useful remarks FootnoteIf you liked this article do let me know in the comments If you have any questions write me on LinkedIn	2022-05-24 17:12:00
海外TECH	CodeProject Latest Articles	Subnetting with IPv6 - Part 2/2	https://www.codeproject.com/Articles/660475/Subnetting-with-IPv-Part	calculator	2022-05-24 17:20:00
海外科学	NYT > Science	Some Elephants Are Getting Too Much Plastic in Their Diets	https://www.nytimes.com/2022/05/24/science/india-elephants-plastic.html	Some Elephants Are Getting Too Much Plastic in Their DietsIn India the large mammals see trash in village dumps as a buffet but researchers found they are inadvertently consuming packaging and utensils	2022-05-24 17:38:22
海外科学	NYT > Science	What to Know About Monkeypox	https://www.nytimes.com/article/what-is-monkeypox.html	recent	2022-05-24 17:53:16
海外科学	BBC News - Science & Environment	Forecasters predict a very active hurricane season	https://www.bbc.co.uk/news/science-environment-61571996?at_medium=RSS&at_campaign=KARANGA	storms	2022-05-24 17:30:12
ニュース	BBC News - Home	Cost of living: Government plan to help households could come in days	https://www.bbc.co.uk/news/uk-politics-61572226?at_medium=RSS&at_campaign=KARANGA	downing	2022-05-24 17:31:23
ニュース	BBC News - Home	Monkeypox: UK cases rise to 71, with vaccines for high-risk contacts	https://www.bbc.co.uk/news/health-61570562?at_medium=RSS&at_campaign=KARANGA	patience	2022-05-24 17:08:08
ニュース	BBC News - Home	No UK official forced Nazanin to sign confession - minister	https://www.bbc.co.uk/news/uk-61570261?at_medium=RSS&at_campaign=KARANGA	false	2022-05-24 17:11:02
ニュース	BBC News - Home	Chelsea: Premier League approves takeover deal from Todd Boehly consortium	https://www.bbc.co.uk/sport/football/61490237?at_medium=RSS&at_campaign=KARANGA	Chelsea Premier League approves takeover deal from Todd Boehly consortiumThe Premier League approves the £bn takeover of Chelsea with the consortium led by US businessman Todd Boehly passing its owner s and directors test	2022-05-24 17:53:19
ビジネス	ダイヤモンド・オンライン - 新着記事	【精神科医が教える】 絶対に失敗しない目標設定のコツ - 精神科医Tomyが教える 心の荷物の手放し方	https://diamond.jp/articles/-/303235	【精神科医が教える】絶対に失敗しない目標設定のコツ精神科医Tomyが教える心の荷物の手放し方生きていれば、不安や悩みは尽きない。	2022-05-25 02:55:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【断りベタ必見】断ってるのに「なぜか感じいい」断り方ベスト2 - だから、この本。	https://diamond.jp/articles/-/303023	【断りベタ必見】断ってるのに「なぜか感じいい」断り方ベストだから、この本。	2022-05-25 02:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	今から買ってもいい、おすすめのETF7本はこれ！【パート1】 - ETFはこの7本を買いなさい	https://diamond.jp/articles/-/303670		2022-05-25 02:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【TBSアナウンサーが教える】 先輩・安住紳一郎アナと 別ルートで勝負したワケ - 伝わるチカラ	https://diamond.jp/articles/-/301787		2022-05-25 02:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【92歳の現役総務課長が教える】 複数の仕事を抱える人が自覚すべき 2つのポイント - 92歳 総務課長の教え	https://diamond.jp/articles/-/303632	【歳の現役総務課長が教える】複数の仕事を抱える人が自覚すべきつのポイント歳総務課長の教え「仕事がおもしろくない」「上司にうんざり」「もう会社を辞めたい」そんな思いが少しでもあるなら参考にしたいのが、歳にして、現役総務課長としてバリバリ働いている玉置泰子さんの著書『歳総務課長の教え』だ。	2022-05-25 02:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【幸運な人は知っている】つい他人と比べて「自分なんて」と落ち込みがちな心が軽くなる「自分を認める練習」 - 迷いをすっきり消す方法	https://diamond.jp/articles/-/303668	落ち込み	2022-05-25 02:30:00
ビジネス	ダイヤモンド・オンライン - 新着記事	疲れをためない最強メソッド「やる気貯金」とは？ - 大量に覚えて絶対忘れない「紙1枚」勉強法	https://diamond.jp/articles/-/303739	貯金	2022-05-25 02:25:00
北海道	北海道新聞	ヤ３―１日（２４日）　日本ハムサヨナラ負け	https://www.hokkaido-np.co.jp/article/684962/	日本ハム	2022-05-25 02:21:08
IT	週刊アスキー	「WWDC22」は6月7日午前2時（日本時間）の基調講演で開幕	https://weekly.ascii.jp/elem/000/004/092/4092466/	基調講演	2022-05-25 02:35:00