投稿時間:2021-05-27 07:20:34 RSSフィード2021-05-27 07:00 分まとめ(22件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
Google	カグア！Google Analytics 活用塾:事例や使い方	鳥好きさんなら読みたい11冊とオンラインイベント情報	https://www.kagua.biz/review/book/torizukibooks2019.html	好き	2021-05-26 21:00:51
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	seleniumでタグのないところの値を取得したい	https://teratail.com/questions/340557?rss=all	dcffdaffadcdcpng	2021-05-27 06:09:54
海外TECH	Ars Technica	These offline, disc-based games require an online check-in on Xbox Series X	https://arstechnica.com/?p=1767928	delivery	2021-05-26 21:23:02
海外TECH	DEV Community	Join our Electron Developer Office Hour	https://dev.to/coscreen/join-our-electron-developer-office-hour-94	Join our Electron Developer Office HourWe are excited to share our new community initiative Developer Office Hours by the engineering team at CoScreen on technologies that we are excited about Electron is a hugely popular open source framework that enables the development of cross platform desktop apps using web technologies If you have ever used Visual Studio Code Slack Discord or an endless list of other great apps on macOS or Windows you ve used Electron These office hours are an opportunity for you to ask questions you need answered or share challenges you need help navigating on a given topic We believe in creating a meaningful space for developers of all levels to learn collaborate and catch up on the latest technologies and frameworks We ve created a dedicated block of time to make sure someone from our team can help answer questions and facilitate the conversations for our growing community The up and coming Developer Office Hour will be hosted by Brad Carter Software Engineer at CoScreen and an Electron enthusiast Here s the rough agenda Quick intro on Electron and how we use it at CoScreen to build our cross platform collaboration appHelping you to decide when it is the right technology for you and when it isn tAnd of course do our best to answer all of your questions The event will be hosted on CoScreen on June rd at am PST pm EST Sign up and submit your questions hereMake sure to include your name and any useful information so we can help you best We are looking forward to chatting with all of you and learning together not all questions will be answered but we will do our best to The CoScreen Team	2021-05-26 21:28:01
Apple	AppleInsider - Frontpage News	Michiel Huisman joins cast of upcoming Apple TV+ action-thriller 'Echo 3'	https://appleinsider.com/articles/21/05/26/michiel-huisman-joins-cast-of-upcoming-apple-tv-action-thriller-echo-3?utm_medium=rss	Michiel Huisman joins cast of upcoming Apple TV action thriller x Echo x Michiel Huisman has joined the cast of upcoming Apple TV action thriller Echo written by Academy Award winner Mark Boal Credit Marc de GrootHuisman will play Prince in the show a member of the Echo team and soon to husband to Amber Chesborough a scientist who goes missing He will play opposite Luke Evans who will play Bambi Amber s brother Read more	2021-05-26 21:45:28
Apple	AppleInsider - Frontpage News	Exploitable WebKit flaw still present in iOS and macOS despite available fix	https://appleinsider.com/articles/21/05/26/exploitable-webkit-flaw-still-present-in-ios-and-macos-despite-available-fix?utm_medium=rss	Exploitable WebKit flaw still present in iOS and macOS despite available fixApple has not yet patched a WebKit vulnerability present in iOS and macOS despite a fix for the flaw being available for weeks Credit WebKitThe vulnerability first discovered by security researchers at cybersecurity startup Theori resides in the implementation of AudioWorklets in WebKit Although the bug could cause Safari crashes Theori says it s also an exploitable confusion type flaw Read more	2021-05-26 21:04:10
Apple	AppleInsider - Frontpage News	Apple TV 4K is 'super easy' to disassemble, Siri Remote is not	https://appleinsider.com/articles/21/05/26/apple-tv-4k-is-super-easy-to-disassemble-siri-remote-is-not?utm_medium=rss	Apple TV K is x super easy x to disassemble Siri Remote is notA new teardown video reveals that while the Apple TV K may be a relatively simple product to fix the updated Siri remote proves far more problematic Apple announced the new Apple TV K during April s Spring Loaded event showing off the refreshed set top box with the A Bionic CPU a new Siri Remote and automatic color balancing via iPhone Read more	2021-05-26 21:21:07
海外TECH	Engadget	Blizzard has canceled BlizzCon 2021	https://www.engadget.com/blizzcon-2021-canceled-213623847.html	Blizzard has canceled BlizzCon Blizzard said on Wednesday the ongoing realities of the coronavirus pandemic make it too difficult to pull off the type of convention fans have come to expect from the studio	2021-05-26 21:36:23
海外科学	BBC News - Science & Environment	Stephen Hawking's papers to be saved for the nation	https://www.bbc.co.uk/news/science-environment-57088148	personal	2021-05-26 21:32:48
金融	生命保険おすすめ比較ニュースアンテナ waiwainews	第2回海外投資勉強会講師 IN京都〜とにかくアウトプット、アウトプット！	http://seiho.waiwainews.net/view/12419	newsallrightsreserved	2021-05-27 06:41:27
金融	生命保険おすすめ比較ニュースアンテナ waiwainews	40代社長の保険見直し	http://seiho.waiwainews.net/view/12417	newsallrightsreserved	2021-05-27 06:41:25
ニュース	BBC News - Home	Covid: France imposes quarantine on UK travellers	https://www.bbc.co.uk/news/world-europe-57256859	indian	2021-05-26 21:50:50
ニュース	BBC News - Home	San Jose shooting: Eight killed in California rail yard shooting	https://www.bbc.co.uk/news/world-us-canada-57260869	california	2021-05-26 21:55:12
ニュース	BBC News - Home	Batley school protests: Teacher allowed back in Prophet Muhammad image row	https://www.bbc.co.uk/news/uk-england-leeds-57261147	muhammad	2021-05-26 21:04:11
ニュース	BBC News - Home	Friends reunion: 10 of the best moments	https://www.bbc.co.uk/news/entertainment-arts-57120599	special	2021-05-26 21:02:21
LifeHuck	ライフハッカー［日本版］	部下のやる気を刺激して成功へと導く「エンゲージ」の引き出し方	https://www.lifehacker.jp/2021/05/235311book_to_read-764.html	高め	2021-05-27 07:00:00
北海道	北海道新聞	米、中国研究所説否定せず　コロナ起源、証拠提供求める	https://www.hokkaido-np.co.jp/article/548440/	新型コロナウイルス	2021-05-27 06:13:49
北海道	北海道新聞	ＮＹ株小反発、１０ドル高　景気回復の加速に期待	https://www.hokkaido-np.co.jp/article/548442/	景気回復	2021-05-27 06:03:00
北海道	北海道新聞	感染症「疑い」で宿泊拒否可能　来年国会で法改正目指す	https://www.hokkaido-np.co.jp/article/548441/	新型コロナウイルス	2021-05-27 06:03:00
ビジネス	東洋経済オンライン	｢黙食･黙乗｣の1人旅はこれからの旅のスタイルだ 感染リスク低く､会話はなくても自由がある | トラベル最前線 | 東洋経済オンライン	https://toyokeizai.net/articles/-/430376?utm_source=rss&utm_medium=http&utm_campaign=link_back	東洋経済オンライン	2021-05-27 06:30:00
ニュース	THE BRIDGE	創薬効率化のEngine Biosciences、シンガポールでシリーズA最大規模の4,200万米ドルを調達	http://feedproxy.google.com/~r/SdJapan/~3/t_InCnLRXpE/engine-biosciences-secures-us42m-to-scale-its-drug-discovery-platform-and-prepare-for-clinical-trials-20210525	創薬効率化のEngineBiosciences、シンガポールでシリーズA最大規模の万米ドルを調達シンガポールとアメリカを拠点とする創薬企業EngineBiosciencesは、シリーズAラウンドで多くの投資家から約万米ドル万シンガポールドルを調達した。	2021-05-26 21:30:59
GCP	Cloud Blog	Cloud AI in the developer community	https://cloud.google.com/blog/topics/developers-practitioners/cloud-ai-developer-community/	Cloud AI in the developer communityEditor s note This post features third party projects built with AI Platform At Google I O on May Google Cloud announced Vertex AI a unified UI for the entire ML workflow which includes equivalent functionality from the AI Platform and new MLOps services Most of the sample code and materials introduced in this post will also be applicable to Vertex AI products Do you know Google Developers Experts GDEs The GDE program is a network of highly experienced technology experts influencers and thought leaders who are passionate in sharing their knowledge and experiences with fellow developers Among the many GDEs specialized in various Google technologies ML Machine Learning GDEs have been very active across the globe hence we would like to share some of the great demos samples and blog posts these ML GDEs have recently published for learning Cloud AI technologies If you are interested in becoming an ML GDE please check the bottom of this article to apply Try the live demo and learn how to train and serve scikit learn modelsVictor Dibia created a great live demo NYC Taxi Trip Advisor with Cloud AI tools Anyone can try it out With this demo you can choose a starting point and destination point e g from JFK Airport to Central Park so the tool shows a predicted trip time and fare using a multitask ML model sklearn Live demo NYC Taxi Trip AdvisorOn the Notebooks published on the GitHub repo Victor explains how he designed the demo with Vertex AI Notebooks Prediction and App Engine including the process for downloading the training data preprocessing training of the ML models Random Forest and MLP with scikit learn deploying to Prediction and serving with App Engine The repo will be improved to further fine tune the user experience and the underlying ML models e g use of a bayesian prediction model that allows for principled measures of uncertainty Systems architectureVisual sanity checks on the MLP model predictions AutoML Notebooks BigQuery a fast quick and efficient MLMinori Matsuda published a blog post Empowering Google Cloud AI Platform Notebooks by powerful AutoML where he explains how you can integrate Vertex AI Notebooks and AutoML Tables with BigQuery by using New York City taxi trips public dataset He says Combining these we can quickly implement efficient iterations of feature engineering modeling evaluation and prediction to increase the accuracy In the post Minori explains how AutoML technology works using Model Search Google published recently The article says the concept of model search uses greedy beam search the multiple trainers even try RNNs such as LSTM tunes the depth of the layers and the connection and eventually does ensembles It creates a model written in TensorFlow finally Minori actually tries out the framework and shows how it works with a video Model Search trial by Minori MatsudaAlso Minori points out that one of the easiest ways to create an AutoML model from the dataset on BigQuery is to use BigQuery ML on Vertex AI Notebooks Creating an AutoML Tables model from BigQuery ML on Vertex AI NotebooksThis is a great example of an integrated solution you can compose with the powerful platform and services on Google Cloud Video tutorials on Google Cloud AI platform and services Srivatsan Srinivasan has been posting a great series of videos on YouTube Artificial Intelligence on Google Cloud Platform with sample code One of those videos features a telecom churn prediction use case where he trains a XGBoost model and deploys it to Vertex AI Prediction This is not only a sample code but a great online learning content The video includes introductions to the following concepts Google Cloud Vertex AI OverviewCreating Cloud AI Notebook InstanceDeveloping Your First ML Model on Google CloudCreating Custom Predictor for InferenceBundling Dependency for DeploymentDeploying model on Vertex AI predictionCloud StorageFeature importance with the XGBoost modelIn addition to Google cloud AI platform and AI platform prediction the video tutorial covers Deploying model on Google Cloud Run App Engine and GKEBigQuery MLCloud AutoML VisionSpeech to TextMLOps on Google CloudDistributed Training in TensorFlow with AI Platform and DockerLast April Sayak Paul posted a full fledged content Distributed Training in TensorFlow with AI Platform amp Docker He starts with Operating with a Jupyter Notebook environment can get very challenging if you are working your way through large scale training workflows as is common in deep learning He uses AI Platform and Docker for solving this problem by providing a training workflow that is fully managed by a secure and reliable service with high availability Sayak says While developing this workflow I considered the following aspects for services I used to develop the workflow  The service should automatically provision and deprovision the resources we would ask it to configure allowing us to only get charged for what s been truly consumed The service should also be very flexible It must not introduce too much technical debt into our existing pipelines In this post he explains the end to end processes starting from designing the data pipeline that takes images for cats and dogs and converts to TFRecord stored on Cloud Storage Data pipeline with TensorFlowAlso his published repository contains the all code required for implementing the workflow with rich documentation explaining how those files are organized and packaged in a Docker container to be submitted to AI Platform Training Dockerfile for the container packagingTraining logs on Cloud LoggingIf you are a TensorFlow user Sayak s post could be the best way to learn what benefit you can get from the AI Platform and how to get started with the actual sample code SNS curation with AI Platform GKEChansung Park s project Curated Personal Newsletter is a great sample with an actual demo app and the source code that aims for collecting all the posts from one s SNS wall including personal note shared retweeted then it will send an automatically curated periodic newsletter The system combines AI Platform Training and Prediction with Google Kubernetes Engine for building an end to end MLOps pipelines for continuous training and deployment whenever a new version of data or code for a model is integrated Systems ArchitectureAlthough the project is still in development it is a useful example as an end to end ML pipeline built with various Google Cloud services Chansung also published a great write up on MLOps in Google Cloud which also helps understanding how you can build a production ML pipeline with various Cloud AI tools  Next stepsIf you are interested in joining the community nearby you please check Google Cloud community page and find relevant information on meetups tutorials and discussions If you share the same passion in sharing your Cloud AI knowledge and experiences with fellow developers and interested in joining this ML GDE network please check the GDE Program website watch this ML GDE Program intro video and send an email to cloudai gde google com with your intro and relevant activity information  Related ArticleGoogle Cloud unveils Vertex AI one platform every ML tool you needGoogle Cloud launches Vertex AI a managed platform for experimentation versioning and deploying ML models into production Read Article	2021-05-26 21:30:00