投稿時間:2021-01-23 04:24:39 RSSフィード2021-01-23 04:00 分まとめ(28件)

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AWS	AWS Open Source Blog	Leverage deep learning in Scala with GPU on Spark 3.0	https://aws.amazon.com/blogs/opensource/leverage-deep-learning-in-scala-with-gpu-on-spark-3-0/	Leverage deep learning in Scala with GPU on Spark This post was contributed by Qing Lan Carol McDonald and Kong Zhao With the growing interest in deep learning DL more users are using DL in their production environments Because DL requires intensive computational power developers are leveraging GPUs to do their training and inference jobs As part of a major Apache Spark initiative to …	2021-01-22 18:40:35
python	Pythonタグが付けられた新着投稿 - Qiita	Cloud Functions Pythonを使ったローカル開発環境とデプロイ方法	https://qiita.com/morita-toyscreation/items/e5d62673c3c5fafbdbbc		2021-01-23 03:56:12
python	Pythonタグが付けられた新着投稿 - Qiita	【Python】ハレー彗星、惑星、準惑星の座標計算を行い、tkinterとmatplotlibを用いて三次元座標をアニメーションで表示するプログラムの作成	https://qiita.com/Irisviel128/items/490b7d96b180361ad52c	【Python】ハレー彗星、惑星、準惑星の座標計算を行い、tkinterとmatplotlibを用いて三次元座標をアニメーションで表示するプログラムの作成matplotlibを用いた動作画面ハレー彗星惑星水星、金星、地球、火星、木星、土星はじめに本文は筆者プログラミング初心者の個人的なプログラム制作について、得られた知見、手法を簡単にまとめた物です。	2021-01-23 03:43:35
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	詳細ページから削除ボタンをクリックすると投稿が削除できるようしたい	https://teratail.com/questions/317852?rss=all	詳細ページから削除ボタンをクリックすると投稿が削除できるようしたい現在スクールの実装中でして、削除機能を作っています。	2021-01-23 03:28:33
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	PythonでFace APIを使って感情認識をしたい	https://teratail.com/questions/317851?rss=all	PythonでFaceAPIを使って感情認識をしたいAzurenbspCognitivenbspServicesのFaceというAPIを使って画像の感情認識をしたいです。	2021-01-23 03:11:30
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	モダンなボタンについて radio や checkbox は使用するべきでしょうか？	https://teratail.com/questions/317850?rss=all	モダンなボタンについてradioやcheckboxは使用するべきでしょうか現在nbspVuejsnbspのコンポーネントを用いてnbspwebnbspアプリを開発しております。	2021-01-23 03:07:08
GCP	gcpタグが付けられた新着投稿 - Qiita	Cloud Functions Pythonを使ったローカル開発環境とデプロイ方法	https://qiita.com/morita-toyscreation/items/e5d62673c3c5fafbdbbc		2021-01-23 03:56:12
海外TECH	Ars Technica	New MacBook Air will feature MagSafe and be even thinner, report claims	https://arstechnica.com/?p=1736797	claimsalso	2021-01-22 18:54:42
Apple	AppleInsider - Frontpage News	Apple picks up 'Lessons in Chemistry' drama starring Brie Larson	https://appleinsider.com/articles/21/01/22/apple-picks-up-lessons-in-chemistry-drama-starring-brie-larson	Apple picks up x Lessons in Chemistry x drama starring Brie LarsonApple TV has placed a straight to series order for drama Lessons in Chemistry which is set to star Brie Larson as a single mother who couples cooking and science to teach a nation Brie Larson left and author Bonnie Garmus right Image credit left MTV International Lessons in Chemistry is based on an upcoming novel by Bonnie Garmus a copywriter creative director science editor and author The book is set to be published in from Doubleday Read more	2021-01-22 18:33:24
海外TECH	Engadget	Cadillac's upcoming Celestiq flagship EV has a tint-shifting smart roof	https://www.engadget.com/cadillacs-upcoming-celestiq-flagship-ev-has-a-tintshifting-smart-roof-180907501.html	Cadillac x s upcoming Celestiq flagship EV has a tint shifting smart roofGM has high hopes for its upcoming Cadillac Celestiq sedan slated for release in The flagship EV is being built to help the brand recapture its reign as “the Standard of the World As such it s expected to arrive packed to the gills with cut	2021-01-22 18:09:07
海外科学	NYT > Science	Restoring Environmental Rules Rolled Back by Trump Could Take Years	https://www.nytimes.com/2021/01/22/climate/biden-environment.html	Restoring Environmental Rules Rolled Back by Trump Could Take YearsPresident Biden has promised to reinstate more than rules and regulations aimed at environmental protection that his predecessor rolled back It won t happen overnight	2021-01-22 18:03:15
海外ニュース	Japan Times latest articles	Show must go on: Officials and organizers deny reports Tokyo Olympics will be canceled	https://www.japantimes.co.jp/news/2021/01/22/national/olympics-cancellation-denied/	Show must go on Officials and organizers deny reports Tokyo Olympics will be canceledPrime Minister Yoshihide Suga has insisted the delayed games will be held in July rejecting a claim by The Times of London that the government	2021-01-23 03:07:07
海外ニュース	Japan Times latest articles	Pandemic raises Japan suicide rate after decade of decline	https://www.japantimes.co.jp/news/2021/01/22/national/japan-suicide-rate/	previous	2021-01-23 03:07:45
海外ニュース	Japan Times latest articles	Shodai and Daieisho win to stay in two-way title race after Day 13	https://www.japantimes.co.jp/sports/2021/01/22/sumo/basho-reports/shodai-daieisho-day-13/	basho	2021-01-23 03:53:28
ニュース	BBC News - Home	Coronavirus: UK R number 'between 0.8 and 1'	https://www.bbc.co.uk/news/health-55768033	adviser	2021-01-22 18:51:35
ニュース	BBC News - Home	Covid-19: UK variant 'may be more deadly' but nation's R number drops	https://www.bbc.co.uk/news/uk-55770350	coronavirus	2021-01-22 18:17:28
ニュース	BBC News - Home	Essex lorry deaths: Men jailed for killing 39 migrants in trailer	https://www.bbc.co.uk/news/uk-england-essex-55765213	october	2021-01-22 18:16:03
ニュース	BBC News - Home	Sea shanty: Can viral success make a music career?	https://www.bbc.co.uk/news/entertainment-arts-55768333	career	2021-01-22 18:42:33
ニュース	BBC News - Home	Uncapped Odogwu and Randall called up by England for Six Nations	https://www.bbc.co.uk/sport/rugby-union/55766166	squad	2021-01-22 18:02:33
ビジネス	ダイヤモンド・オンライン - 新着記事	防水バッグが浮き輪に?! ワークマンの仕掛け人が明かす 「先読み力」をつける たった1つの習慣 - ワークマン式「しない経営」	https://diamond.jp/articles/-/258575		2021-01-23 03:55:00
ビジネス	ダイヤモンド・オンライン - 新着記事	子どもをダメにする親、 伸ばす親の育て方はどこが違う？ - だから、この本。	https://diamond.jp/articles/-/259754	そのてぃ先生が厳選した子育てのスゴ技をまとめた『子どもに伝わるスゴ技大全カリスマ保育士てぃ先生の子育てで困ったら、これやってみ』がベストセラーとなっています。	2021-01-23 03:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	株式投資をすると手に入る 3つのチカラとは？ - 10万円から始める！　小型株集中投資で1億円　実践バイブル	https://diamond.jp/articles/-/257325	株式投資をすると手に入るつのチカラとは万円から始める小型株集中投資で億円実践バイブルふつうの会社員でも年あれば、気づいたときには億円小型株は伸びしろが大きいわりに、目を付けている投資家が少ない。	2021-01-23 03:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	コロナ後もオンライン教育が広がる理由 - スタンフォード式生き抜く力	https://diamond.jp/articles/-/256818	コロナ後もオンライン教育が広がる理由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。	2021-01-23 03:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「桃太郎」（3） 桃太郎のきびだんごは 現物支給の「給与」にあたる!? - 桃太郎のきびだんごは経費で落ちるのか？	https://diamond.jp/articles/-/260667	「桃太郎」桃太郎のきびだんごは現物支給の「給与」にあたる桃太郎のきびだんごは経費で落ちるのか鬼ヶ島から財宝を持ち帰った桃太郎を待っていたのは、毎年の確定申告でした。	2021-01-23 03:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【自宅でヨガ】背中、お腹、もも、お尻の 大きい筋肉を動かして脂肪を燃やす！ - 整えるヨガ	https://diamond.jp/articles/-/259576	youtube	2021-01-23 03:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	冷え性がラクになる 「筋肉をふるわせて熱を作る」体操です - 1日7秒手を伸ばしなさい	https://diamond.jp/articles/-/260197	冷え性がラクになる「筋肉をふるわせて熱を作る」体操です日秒手を伸ばしなさい「まったく知られていませんが、実は慢性的な肩こりや腰痛などのからだの不調の原因は、手が縮こまって、短くなっていることにあります。	2021-01-23 03:30:00
ビジネス	ダイヤモンド・オンライン - 新着記事	韓国ベストセラーエッセイが教えてくれる、「人間関係」でストレスを抱えないためのシンプルな考え方 - 今日も言い訳しながら生きてます	https://diamond.jp/articles/-/260059	一生懸命	2021-01-23 03:25:00
GCP	Cloud Blog	Giving the newly unified Google Cloud AI Platform a spin	https://cloud.google.com/blog/topics/developers-practitioners/giving-newly-unified-google-cloud-ai-platform-spin/	Giving the newly unified Google Cloud AI Platform a spinThe Google Cloud AI Platform team have been heads down the past few months building aunified view of the machine learning landscape What is it How good is it What does it mean for data science jobs What is there to unify The idea is that there are a few key constructs in machine learning We create datasets by ingesting data analyzing the data and cleaning it up ETL or ELT We then train a model ーthis includes experimentation hypothesis testing and hyperparameter tuning This model is versioned and rebuilt when there is new data on a schedule or when the code changes ML Ops The model is evaluated and compared to existing model versions The model is deployed and used for online and batch predictions Yet depending on how you do your ETL do you store your data in CSV files TensorFlow records JPEG files In Cloud Storage In BigQuery the rest of the pipeline becomes very different Wouldn t it be nice to have the idea of an ML dataset That any downstream model TensorFlow sklearn PyTorch can use That s what it means to unify behind the concept of a dataset The Cloud AI Platform unified Diagram courtesy Henry Tappen and Brian KobashikawaUnified Cloud AI Platform provides unified definitions implementations of four concepts A dataset can be structured or unstructured It has managed metadata including annotations and can be stored anywhere on GCP Realize that this is the vision ーat present only Cloud Storage and BigQuery are supported Not Bigtable or Pub Sub yet A training pipeline is a series of containerized steps that can be used to train an ML model using a dataset The containerization helps with generalization reproducibility and auditability A model is an ML model with metadata that was built with a Training Pipeline or directly loaded as long as it is in a compatible format  An endpoint can be invoked by users for online predictions and explanations It can have one or more models and one or more versions of those models with disambiguation carried out based on the request The key idea is that these artifacts are the same regardless of the type of dataset or training pipeline or model or endpoint It s all mix and match So once you create a dataset you can use it for different models For example you can get Explainable AI from an endpoint regardless of how you trained your model This unification is clearly visible from the web UI Okay enough of the why Let s take it for a spin ML in SQL with BigQueryI ll use the Air BnB New York Citydataset on Kaggle to predict the price of an apartment rental It s always good when you are training an ML model using new technology to compare it against something that you know and understand So I ll load into BigQuery and use BigQuery ML This data set is a bit unwieldy and required cleanup before I could load it into BigQuery see this blog post for details but I made the BigQuery dataset public so you can simply try out the query Having verified that the data look reasonable let s go ahead and train an xgboost model to predict the price This is as simple as adding two lines of SQL code We get a model that converges quicklyand achieves a mean absolute error of How good is this What s the mean price of a New York city apartment on Air BnB That is So we are within Maybe not a model to go marching into production with …but you shouldn t expect a public dataset to have the more proprietary and personalized data that would help improve these predictions Still the availability of this data helps show us how to train an ML model to predict the price Let s try Auto ML Tables in uCAIP next Unified Cloud AI PlatformLet s start with the CSV file that is on Kaggle so that we are not stuck with the data transformations I did to load the data into BigQuery Go toName it airbnb raw and Select tabular and choose the Iowa regionOnce dataset is created select CSV file from GCS and supply the URL gs ai analytics solutions data public airbnb nyc csvuCAIP happily loads the data without any finickiness pulls out the header and shows the columns Click on Generate Statistics and it shows you that the only potentially iffy fields in terms of missing values are the review fields But that makes sense not every Air BnB guest is going to leave a review Now select Train new model and choose Regression and AutoML Again notice that we can provide our own custom code and still remain within the overall workflow We don t have to give up on an automated training pipeline just because we want to customize one part of the process In the next pane select price as the target column to be predicted In the next pane remove the id column from the set of predictors Change the neighborhood to Categorical from Text and change the objective to MAE Give it a budget of hours and start training About hours later the training finished and we can examine the model and deploy it if we d like We get a Mean Absolute Error of almost better than what we got with xgboost So a more accurate model with less code With evaluation feature importance explainability deployment etc all provided out of the box The low downBoth BigQuery ML and AutoML Tables are easy to use and awfully good It helps to understand the fundamentals of the domain why are reviews missing and of machine learning don t use the id column as an input but both products are quite approachable from the perspective of a citizen data scientist The coding and infrastructure management overhead have been almost completely eliminated What does this mean for data science jobs The move from writing Raw HTML to using weebly wix etc hasn t meant fewer web developer jobs Instead it has meant more people creating websites And when everyone has a basic website it has driven a need to differentiate to build better websites and so more jobs for web developers The democratization of machine learning will lead to the same effect As more and more things become easy there will be more and more machine learning models built and deployed That will drive the need to differentiate and build pipelines of ML models that outperform and solve increasingly complex tasks not just estimate the price of a rental but do dynamic pricing for example Democratization of machine learning will lead to more machine learning and more jobs for ML developers not less This is a good thing and I m excited about it And oh the unified Cloud AI Platform is really nice Try it on your ML problem and let me know you can reach me on Twitter at lak gcp how it did	2021-01-22 19:00:00