投稿時間:2022-05-19 01:35:37 RSSフィード2022-05-19 01:00 分まとめ(42件)

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AWS	AWS Big Data Blog	Use a linear learner algorithm in Amazon Redshift ML to solve regression and classification problems	https://aws.amazon.com/blogs/big-data/use-a-linear-learner-algorithm-in-amazon-redshift-ml-to-solve-regression-and-classification-problems/	Use a linear learner algorithm in Amazon Redshift ML to solve regression and classification problemsAmazon Redshift is the fastest most widely used fully managed and petabyte scale cloud data warehouse Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads Amazon Redshift ML powered by Amazon SageMaker makes it easy for SQL users such as data analysts data scientists and …	2022-05-18 15:30:47
AWS	AWSタグが付けられた新着投稿 - Qiita	【AWS】AWSCLIの「filter」と「query」の使い方について(備忘録)	https://qiita.com/masato930/items/e480bca687052d447538	awscli	2022-05-19 00:17:21
Docker	dockerタグが付けられた新着投稿 - Qiita	【Docker Compose】depends_onについて	https://qiita.com/penpen22/items/dfb430be0f7d7478a5cd	dependson	2022-05-19 00:34:49
GCP	gcpタグが付けられた新着投稿 - Qiita	Google Cloud アップデート (5/12-5/18/2022)	https://qiita.com/kenzkenz/items/9b6c490cbcccf5ccf50b	gkemayr	2022-05-19 00:26:00
GCP	gcpタグが付けられた新着投稿 - Qiita	ARCore Geospatial APIのBalloon PopサンプルをAndroidビルドして試す	https://qiita.com/noritsune/items/285105f06266e3678f6c	android	2022-05-19 00:13:57
海外TECH	Ars Technica	We made a PlayStation Plus explainer that’s better than Sony’s	https://arstechnica.com/?p=1854909	digest	2022-05-18 15:49:21
海外TECH	Ars Technica	Orphan Black’s Tatiana Maslany goes green in She-Hulk: Attorney at Law trailer	https://arstechnica.com/?p=1854812	series	2022-05-18 15:07:55
海外TECH	MakeUseOf	How to Reset a Samsung Galaxy S22 Phone That Is Locked	https://www.makeuseof.com/reset-samsung-galaxy-s22-locked/	samsung	2022-05-18 15:41:20
海外TECH	MakeUseOf	A DIY Guide to Camping With Technology	https://www.makeuseof.com/diy-guide-to-camping-with-technology/	ideas	2022-05-18 15:30:13
海外TECH	MakeUseOf	How to Improve macOS Performance in VMware on Windows	https://www.makeuseof.com/windows-macos-vmware-performance-improvements/	drivers	2022-05-18 15:15:13
海外TECH	DEV Community	Pitch me on Rust	https://dev.to/ben/pitch-me-on-rust-5bc6	Pitch me on RustPart of a new series Feel welcome to dip in and weigh in on a past question Let s say I ve never used Rust before Can anyone give the run down of what the language does and why you prefer it Feel free to touch on drawbacks as well	2022-05-18 15:22:42
海外TECH	DEV Community	SEMANTIC SEARCH AND ITS APPLICATIONS	https://dev.to/neurotech_africa/semantic-search-and-its-applications-3pk2	SEMANTIC SEARCH AND ITS APPLICATIONS“Semantic search is Google s growing ability to make associations between things in ways that come closer to how we humans make such connections Mark Traphagen of Stone Temple What Does Semantic Search Mean Semantic search is a data searching technique in which a search query aims to not only find keywords but to determine the intent and contextual meaning of the words a person is using for a search It uses vector search and machine learning to return results that aim to match a user s query even when there are no word matches To best find and rank results the semantic search will compare thousands of different properties that have been learned by machine learning and come back with a number that specifies how similar a record is to a query based on a formula that it has again derived through machine learning Now you may be asking in your mind It s complex  yes and powerful According to Wikipedia it seeks to improve search accuracy by understanding the searcher s intent and the contextual meaning of terms as they appear in the searchable dataspace whether on the Web or within a closed system to generate more relevant results Content that ranks well in semantic search is well written in a natural voice focuses on the user s intent and considers related topics that the user may look for in the future Semantic search is used strategically by companies for knowledge management It allows for meaningful and seamless data sharing by employees across teams and locations based on contextual references Even social media companies employ it on their platforms to help users explore common interests trending topics and products and services advertised by different businesses and organizations Let s use Google search as an example when the user searches for just a single keyword like burger they will provide with location to order burgers which seems that Google the majority of people searching for burger are interested in ordering burgers Along with creating links between the words in the query this personalizes the search to make the experience relevant to your user Source Screenshot by the author But when it comes to a long query the results will be based on the intent and contextual meaning of the query Source Screenshot by the author How Does Semantic Search Work The Semantic Search algorithm works by discovering contextual relationships between words and terms Through natural language processing techniques like named entity recognition  NER the algorithm recognizes and extracts entities in a text When a person inputs a query into a search engine like Google Bing or a company s private intelligent search engine the NLP algorithms break down the query into subsets They use tasks such as error correction synonyms POS tagging retrieval and conversion to word embeddings to analyze the text Combining all these activities they extract relevant details from the data source and present the user with precise results By integrating NER with the semantic search you achieve better contextual meaningful insights from customer words This provides an understanding of the intent of your customer and identifies the key themes topics and ideas that your customers are talking about on social media surveys and any other text that s important to your organization This can help in adjusting business strategies to better fit the customer s needs Is semantic search applicable in your business and marketing plans and how can you use it to your advantage young boy thinkingKeep in mind that Semantic searches don t match on text but on the meaning Applications of Semantic SearchLet s look at how Semantic search can be applicable in different fieldsIn information categorization  as companies around the world strive to find better options for managing the flow of unstructured information they often turn to the classification systems Semantic search tools can be applied in categorizing information to fit the intent and the contextual meaning of the information into specific categories In Research  Most of the research companies need the Semantic search for essential analysis of information from several sources Semantic search plays a great role in understanding the potential area and techniques over other competitors Extracting metadata from images the image search engine allows for the search of patent material with images similar to images or features provided by the user The objective of the multimodal search is to improve the performance of the classical retrieval techniques with the inclusion of the results from the advanced search methodologies Semantic search can help in extracting a set of data describing and providing information about the rights and administration of an image Enterprise Knowledge Management  Organizations use Semantic search in understanding various vital needs for knowledge management across areas like customer voice data employee data customer feedback etc From tasks like search and retrieval to sentiment analysis of reviews and comments semantic search solutions enable enterprise teams to access organization wide information seamlessly and integrate business intelligence strategies Indexing the company s information  in cleaning and slicing documents into meaningful sections then the meaning of each section is numerically encoded as a semantic fingerprint An inverted index of section fingerprints is created and finally you can easily add change or delete document sections in the index You can read more about this application here Searching for pieces of information able to enter a search query that consists of words semantic expressions text or sample documents in a search engine like Google Bing or a company s private intelligent search engine where the results are ranked based on semantic similarity This is commonly one simply because you struggle with browser pages every day looking for different pieces of information or even fixing program errors for developers In Smart Devices  Devices like Smart cars laptops smartphones Smartwatches and digital appliances all use semantic search technologies let me use a simple scenario when your phone understands an incorrect spelling and gives you the right answer when your smart device remembers your favorite song All of these are using intelligent algorithms that understand your query through contextual reference Spelling Tolerance  In different search applications ranging from intranet search engines job portals for engineers search engines for jobs and continued education for workers found that the users made a lot of typing and spelling errors While simple errors like inclusion omission exchange and permutation of characters are quite easy to identify and in simple cases can be automatically corrected In Marketing  Semantic Search was one of the key elements that created this new customer experience era Now is most of the time your focus should be on making their experience online and offline as simple and as beneficial to them as possible Businesses such as digital marketing non profit and eCommerce are shifting towards a place where it is the customer who has the power All of these are the result of features like personalization and suggestion based browsing of the incredible access to a widespread amount of information News Monitoring  companies use semantic search in monitoring their news to keep track of their brand reputation competitor analysis and other affairs that affect their markets News monitoring may vary across industries but the semantic search can be applied in analysis of information of various use cases depending on company goals A semantic search is better because trying to provide a more accurate result compared to other traditional search techniques If search engines were merely returning results based on keywords you wouldn t like the search results you were getting The very best results can only be returned by taking into consideration the semantic factors of the information	2022-05-18 15:16:49
海外TECH	DEV Community	SWAHILI TEXT AUGMENTATION WITH BACK TRANSLATION	https://dev.to/neurotech_africa/swahili-text-augmentation-with-back-translation-2o5g	SWAHILI TEXT AUGMENTATION WITH BACK TRANSLATION Data is a tool for enhancing intuitions Hilary Mason data scientist and founder of Fast Forward LabIn most cases when working on Natural Language Processing challenges such as Sentiment Analysis Text Classification collecting enough labeled observations for each category can be challenging The best option is to try using data augmentation techniques What is Data Augmentation Data augmentation are techniques that are used to generate additional synthetic data using the data you have According to Wikipedia  Data augmentation in data analysis are techniques used to increase the amount of data by adding slightly modified copies of already existing data or newly created synthetic data from original data It acts as a regularizer and helps in reducing over fitting when training a machine learning model Augmentation techniques are super popular in computer vision applications but they are just as powerful for Natural Language Processing as well Today I will just go with the back translation technique with Swahili text using Google API If this is your first time hearing about Swahili Swahili has also known as Kiswahili a Bantu language and the native language of the Swahili people It is one of two official languages of the East African Community countries namely Tanzania Burundi Democratic Republic of Congo Kenya Rwanda South Sudan  and Uganda About Back TranslationBack Translation is the Natural Language Processing data augmentation also called reverse translation which is the process of re translating content from the target language back to its source language in literal terms Let s take an example translating Swahili content to English then to Swahili Back translation doesn t impact the translation memory or other resources like glossaries used by the translator It is most helpful when the content at hand includes slogans titles product names taglines and puns simply because the implied meaning of the content in one language doesn t necessarily work for another language or region Commonly Back translation is used as a quality assessment and assurance tool technique where the linguist translates the original source text into the new language then the linguist translates the localized string back into the source language literally to convey the meaning of the translation at the end the content owner or project manager selects the option that best represents the brand tone and intention of the source content Why Back Translation It helps to identify any ambiguities errors and confusion that may arise from the nuances of language and helps to evaluate the equivalence of meaning between the source and target text By comparing the back translation to the original text the quality and accuracy of the translation into another language can be confirmed In Natural language Processing we use it as a method to boost the quantity of text data for model training purposes This method is mostly applied in Pharmaceutical companies medical device companies and Clinical research organizations Using Back Translation in Augmenting Swahili dataFor this case we will use Google translate as our main translator which is easily consumed through an API we are going to follow the steps below Collecting original Swahili textConverting Swahili text into English using Google TranslateConverting the translated text back into Swahili using Google translateResults assessment Designed by the AuthorGoogle translate will perform the translation of Swahili to English then back to Swahili not only this you can try it in your native language also to see what the translation will look like Why Google Translate simply because is the most popular service for this purpose but you need to get an API key to use it and it is a paid service We are not going to pay here only because we can consume Google translate API through excel spreadsheets the work becomes more simple if you have a Google account you have access to their Google Sheets web app Let s collect Swahili text just a simple file with six sentences you can just use this on a large text classification challenge Screenshot by author Then it s time to consume Google translate first we should add other two new columns for English text and Augmented text  Then use GOOGLETRANSLATE  to perform translation of Swahili sentences to English and then back to Swahili GOOGLETRANSLATE  requires three arguments to be specified the text you want to translate the source language and the target language GOOGLETRANSLATE text source language target language Screenshot by author This is just for understanding the concept of translation but for applying Back translation we can use GOOGLETRANSLATE function twice at once Screenshot by author Here is the full command GOOGLETRANSLATE GOOGLETRANSLATE A sw en en sw CopyAfter writing the command just hit the return key to see the augmented Swahili textScreenshot by author After the first sentence we can apply the formula to all observations by selecting the first cell of AUGMENTED TEXT column and drag the small square at the bottom right side below Screenshot by author Wow our Back Translation worked well then if your working with sentiment analysis challenge you can apply this in your training set of sentiments to augment the data Note By applying Back Translation some text may result into their original structure just make sure to set a filtering action for all augmented sentiments that will be the same as their original this will help to remove all duplicates Then you can export the csv file and use the data to train your model Final Thoughts Text augmentation techniques in NLP are powerful tools for making generalized models  Back translation offers an interesting approach when you ve small training data but want to improve the performance of your model Depending on which language you working with it is not mandatory to use only Google translate but you can opt for other powerful tools to perform such tasks like using transformer models etcBack translation won t assess quality of expression may be important as most translations will need to be more just accurate they will need to be well worded and read naturally in the target language Also Back translation won t identify typos or grammatical and punctuation errors Be careful on which case you are using this technique to avoid result mismatch	2022-05-18 15:09:35
海外TECH	DEV Community	JavaScript History with Quizzes	https://dev.to/codewithshahan/javascript-history-with-quizzes-3h4d	JavaScript History with QuizzesSince its release in JavaScript has gone through many changes from ECMAScript in to ECMAScript in Before going forward I would like to draw your attention on my YouTube Channel where I publish clear and concise web development content based on JavaScript amp React that you gonna love soon IntroductionJavaScript was created at Netscape Communications by Brendan Eich in Netscape and Brendan Eich designed JavaScript as a scripting language for Netscape Navigator which was a leading web browser in the s JavaScript s first name was Mocha After that it was known as Live Script and later known as JavaScript If you ever have to run programs in the browser you definitely need to use JavaScript At first JavaScript was used to add interactive web elements like button clicks hover states form validation and so on Later it goes more robust with Dynamic HTML DHTML AJAX Object Oriented Programming OOP using the class keyword etc Today we can run JavaScript outside the browser thanks to Node js which makes JavaScript a real software language to build full stack applications JavaScript is Everywhere Evolution of Modern JavaScriptThe evolution of any programming language is community driven That means no individual person can directly add new features until it goes through several stages of approval by a leading organization JavaScript s evolution has been proceeded by a group of individual programmers browser vendors the companies that make and sell provide browsers and community leaders Anyone can submit a proposal to the ECMA European Computer Manufacturers Association committee that prioritize these proposals to decide what should be included in the coming feature or update Original JavaScript ES In this way after the first release of ECMAScript the evolution goes through on and on each year until ES which became chaotic along with the political mess and that version was never released Then in ES was released after a quite long gap This update includes new array methods object properties and library support for JSON which made JavaScript more popular This version was the first main revision of JavaScript ES Revolution Modern Js In the year JavaSccript released another version of JavaScript called ES which was the second main revision of JavaScript This update helped JavaScript developers to “write less do more thanks to arrow functions template strings class destruction modules and so on After releasing ES or ES JavaScript had a lot more momentum in releasing new features with proposals each year which is now called the yearly additions instead of calling main revision Everything that goes into this stage proposal is called ESNext Meaning this bounce of features will be added in the next major JavaScript release You can read currently finished proposals in on the official Ecma TC committee s GitHub account Without community driven proposals amp active community JavaScript wouldn t be the most popular programming language in Although some of the developers hate JavaScript being a programming language JavaScript is No longer Limited to BrowserBefore JavaScript couldn t be run outside the browser and it was just limited to web programming In the creation of Google s V engine which is traditionally called the Chrome V engine had come up which a high performance JavaScript and WebAssembly engine written in C programming language provided a crucial turning point for JavaScript Before that the Netscape Commnucinications used Spider Monkey which was the first JavaScript Engine Fortunately the Chrome V engine was so powerful that developers were able to build sophisticated web based applications that performed just like mobile or desktop applications After that Ryan Dahl who is a software engineer comes up with a great idea He released an open source JavaScript environment called Node js which provided a way to run JavaScript outside of the browser Today we can use JavaScript to build mobile applications desktop applications and backend servers which makes JavaScript the most popular programming language QuizIt s time to Quiz Here is the online quiz game that I created from this article Let me know in the comment section below about this quiz game ConclusionIt s not true that JavaScript isn t a real programming language How could it be Nowadays JavaScript developers can build cross platform mobile and desktop apps easily using JavaScript frameworks There are a lot of well known popular applications that build with JavaScript Discord app is one of them World giant companies like Google Netflix Twitter and Facebook are using JavaScript in their service JavaScript is Everywhere Thanks for your time and happy coding	2022-05-18 15:04:54
Apple	AppleInsider - Frontpage News	Deals: Apple AirPods 3 dip to $149.99 on Amazon ($30 off)	https://appleinsider.com/articles/22/05/18/deals-apple-airpods-3-dip-to-14999-on-amazon-30-off?utm_medium=rss	Deals Apple AirPods dip to on Amazon off Amazon has issued a steeper price drop on Apple AirPods discounting the wireless earbuds to Units are in stock and ready to ship Price drops on AirPods are in effect at Amazon todayThe AirPods deal puts Apple s earbuds within of the record low price recorded at Amazon in January At off it s also the best AirPods price available across leading Apple resellers Read more	2022-05-18 15:42:22
Apple	AppleInsider - Frontpage News	Anker's new USB-C dock lets M1 Mac users run three monitors	https://appleinsider.com/articles/22/05/18/ankers-new-usb-c-dock-lets-m1-mac-users-run-three-monitors?utm_medium=rss	Anker x s new USB C dock lets M Mac users run three monitorsAnker has launched a new in docking station that not just provides USB A ports but also allows M Mac owners to run up to three displays Credit AnkerThe Anker USB C dock packs a wealth of different port options and includes Multi Stream Transport to run multiple video signals on a single connection Users will be able to run up to three K displays using the hub over HDMI Read more	2022-05-18 15:36:33
Apple	AppleInsider - Frontpage News	Indian trade body calls for 'urgent' App Store regulation	https://appleinsider.com/articles/22/05/18/indian-trade-body-calls-for-urgent-app-store-regulation?utm_medium=rss	Indian trade body calls for x urgent x App Store regulationThe Alliance of Digital India Foundation ADIF has issued a study of the App Store and Google Play Store concluding that the stores are powerful but it s hard to determine what would be fair pricing App Store on an iPhoneApple is a key contributor to the Indian economy and has recently expanded local production even as it and Google s app stores come under regulator scrutiny Now the ADIF has released a study into how Apple and Google s app policies affect Indian developers Read more	2022-05-18 15:00:34
海外科学	NYT > Science	Over 75 Percent of Long Covid Patients Were Not Hospitalized for Initial Illness, Study Finds	https://www.nytimes.com/2022/05/18/health/long-covid-hospitalization.html	Over Percent of Long Covid Patients Were Not Hospitalized for Initial Illness Study FindsResearchers analyzed the largest database of private insurance claims in the United States in the first four months after a diagnostic code for long Covid was created	2022-05-18 15:41:40
金融	RSS FILE - 日本証券業協会	会員の主要勘定及び顧客口座数等	https://www.jsda.or.jp/shiryoshitsu/toukei/kanjyo/index.html	顧客	2022-05-18 15:38:00
金融	RSS FILE - 日本証券業協会	株主コミュニティの統計情報・取扱状況	https://www.jsda.or.jp/shiryoshitsu/toukei/kabucommunity/index.html	株主コミュニティ	2022-05-18 15:30:00
金融	金融庁ホームページ	「金融商品取引法施行令の一部を改正する政令（案）」等のパブリックコメント結果について公表しました。	https://www.fsa.go.jp/news/r3/shouken/20220518/20220518.html	金融商品取引法施行令	2022-05-18 17:00:00
金融	金融庁ホームページ	「記述情報の開示の充実に向けた解説動画」の配信について公表しました。	https://www.fsa.go.jp/news/r3/singi/20220518.html	解説動画	2022-05-18 17:00:00
金融	金融庁ホームページ	職員を募集しています。（金融モニタリング業務に従事する職員【公認会計士】）	https://www.fsa.go.jp/common/recruit/r3/souri-21/souri-21.html	公認会計士	2022-05-18 17:00:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	韓国関税庁、4月のコンテナ運賃を発表	https://www.jetro.go.jp/biznews/2022/05/d219a7fed0e7aa77.html	韓国	2022-05-18 15:50:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	米ウィスコンシン州、バイオ製薬企業アローヘッドの新規投資に250万ドルの税還付を発表	https://www.jetro.go.jp/biznews/2022/05/b3bcd7570cdfa9d9.html	還付	2022-05-18 15:45:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	不動産テックのアビ、コロンビア2社目のユニコーン企業へ	https://www.jetro.go.jp/biznews/2022/05/dd87555ee2d1c8f5.html	不動産テック	2022-05-18 15:40:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	サンパウロ州でアグリショー2022、過去最高の農機などの販売額を記録	https://www.jetro.go.jp/biznews/2022/05/6fcad3440bb26dc0.html	過去最高	2022-05-18 15:35:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	入国規制緩和により、第1四半期の外国人渡航者が倍増	https://www.jetro.go.jp/biznews/2022/05/b6ec904992bb3c7a.html	規制緩和	2022-05-18 15:30:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	山東省、全国初となるCO2排出量の減量置換ルールを設定	https://www.jetro.go.jp/biznews/2022/05/c362965ca4261219.html	置換	2022-05-18 15:25:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	未成年者にオンライン配信でのギフティングを禁止	https://www.jetro.go.jp/biznews/2022/05/7edfd96434990f88.html	未成年者	2022-05-18 15:20:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	仮想通貨取引所のFTX US、本社を米サンフランシスコからシカゴに移転	https://www.jetro.go.jp/biznews/2022/05/a2a9dd7733f4cb91.html	ftxus	2022-05-18 15:15:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	サワン・ロジスティクス、物流人材育成で国立大学と覚書締結	https://www.jetro.go.jp/biznews/2022/05/1f7aa9cde8a10c26.html	人材育成	2022-05-18 15:10:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	マツモトキヨシ、香港1号店をオープン	https://www.jetro.go.jp/biznews/2022/05/a86768c99fa63cb0.html	香港	2022-05-18 15:05:00
ニュース	BBC News - Home	Shrewsbury and Telford NHS Trust admits failures after two patients die	https://www.bbc.co.uk/news/uk-england-shropshire-61492208?at_medium=RSS&at_campaign=KARANGA	ismael	2022-05-18 15:12:26
ニュース	BBC News - Home	Government windfall tax U-turn inevitable, says Keir Starmer	https://www.bbc.co.uk/news/uk-politics-61495297?at_medium=RSS&at_campaign=KARANGA	labour	2022-05-18 15:45:33
ニュース	BBC News - Home	Northern Ireland Protocol: Fact-checking claims about Brexit	https://www.bbc.co.uk/news/61468750?at_medium=RSS&at_campaign=KARANGA	panels	2022-05-18 15:27:26
ニュース	BBC News - Home	Rangers in Seville: Thousands in city ready for Europa final	https://www.bbc.co.uk/news/uk-scotland-glasgow-west-61486178?at_medium=RSS&at_campaign=KARANGA	europa	2022-05-18 15:35:20
ニュース	BBC News - Home	Ukraine conflict: What is Nato and how can Finland and Sweden join?	https://www.bbc.co.uk/news/world-europe-18023383?at_medium=RSS&at_campaign=KARANGA	finland	2022-05-18 15:32:50
サブカルネタ	ラーブロ	鼈＠小岩　煮干しそば＋濃厚魚介つけ麺大	http://ra-blog.net/modules/rssc/single_feed.php?fid=199232	東京都江戸川区南小岩	2022-05-18 16:25:07
北海道	北海道新聞	自民、参院選山形で擁立論浮上　独自候補見送りに地元反発	https://www.hokkaido-np.co.jp/article/682591/	山形選挙区	2022-05-19 00:32:00
北海道	北海道新聞	米、ロシア国債不履行示唆　財務長官、原油に関税検討	https://www.hokkaido-np.co.jp/article/682585/	記者会見	2022-05-19 00:04:56
北海道	北海道新聞	殴られたか、男性死亡　病院に運んだ男立ち去る	https://www.hokkaido-np.co.jp/article/682589/	東京都渋谷区恵比寿	2022-05-19 00:10:00