投稿時間:2023-04-12 01:19:56 RSSフィード2023-04-12 01:00 分まとめ(21件)

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AWS	AWS Partner Network (APN) Blog	Accelerate Productivity with KONE Construction Time Use Solution on AWS	https://aws.amazon.com/blogs/apn/accelerate-productivity-with-kone-construction-time-use-solution-on-aws/	Accelerate Productivity with KONE Construction Time Use Solution on AWSConstruction companies sometimes utilize buildings own elevators during the construction phase but during this time operating conditions are very different from normal elevator use According to KONE s studies the first year call out rate of an elevator which has been used during construction time can be twice as high compared to an elevator which has not been used in construction Learn how KONE s construction time use solutions leverage AWS to support customers during the construction phase of any project	2023-04-11 15:11:02
AWS	AWS Machine Learning Blog	Create your RStudio on Amazon SageMaker licensed or trial environment in three easy steps	https://aws.amazon.com/blogs/machine-learning/create-your-rstudio-on-amazon-sagemaker-licensed-or-trial-environment-in-three-easy-steps/	Create your RStudio on Amazon SageMaker licensed or trial environment in three easy stepsRStudio on Amazon SageMaker is the first fully managed cloud based Posit Workbench formerly known as RStudio Workbench RStudio on Amazon SageMaker removes the need for you to manage the underlying Posit Workbench infrastructure so your teams can concentrate on producing value for your business You can quickly launch the familiar RStudio integrated development environment IDE …	2023-04-11 15:39:53
python	Pythonタグが付けられた新着投稿 - Qiita	Dockerで新しいPythonプロジェクトの開発環境コンテナを立ち上げる	https://qiita.com/kotattsu3/items/d68c35ba317a7996d963	docker	2023-04-12 00:52:09
python	Pythonタグが付けられた新着投稿 - Qiita	文学部卒社会人が大学院で人工知能研究に挑戦〜１日目〜	https://qiita.com/shomak07/items/e729a607ee0d50705fce	人工知能	2023-04-12 00:12:28
AWS	AWSタグが付けられた新着投稿 - Qiita	ネットワークの構築（VPCとかサブネットとか）	https://qiita.com/kimbem99/items/2e35657d19ba019c7725	自分自身	2023-04-12 00:32:08
Docker	dockerタグが付けられた新着投稿 - Qiita	Dockerで新しいPythonプロジェクトの開発環境コンテナを立ち上げる	https://qiita.com/kotattsu3/items/d68c35ba317a7996d963	docker	2023-04-12 00:52:09
Docker	dockerタグが付けられた新着投稿 - Qiita	Misskeyインスタンスを建ててみた	https://qiita.com/Soli0222/items/dcbe5113dc7565b87702	misskeyio	2023-04-12 00:16:08
海外TECH	Ars Technica	Network-watching gadget Monitor-IO chooses a graceful, owner-friendly death	https://arstechnica.com/?p=1930660	deathdevice	2023-04-11 15:07:01
海外TECH	MakeUseOf	Are Some Websites Not Opening in Any Browser on Windows? 8 Ways to Fix It	https://www.makeuseof.com/website-not-loading-any-browser/	Are Some Websites Not Opening in Any Browser on Windows Ways to Fix ItSwapping browsers on Windows is usually a surefire way to fix website connectivity issues but what if even that fails to do the job	2023-04-11 15:16:16
海外TECH	DEV Community	Exploring the World of Machine Learning: Definition, Types, Applications, and Upcoming Trends for 2023.	https://dev.to/phylis/exploring-the-world-of-machine-learning-definition-types-applications-and-upcoming-trends-for-2023-38fl	Exploring the World of Machine Learning Definition Types Applications and Upcoming Trends for Introduction Machine learning has emerged as a revolutionary force that is revolutionizing numerous industries as technology continues to advance at a rapid rate With its ability to analyze data recognize patterns and make predictions machine learning has become an indispensable tool for businesses looking to stay ahead of the competition But what exactly is machine learning and how does it work In this article we will delve into the world of machine learning covering everything from its definition and types to its numerous applications in industries like marketing finance and healthcare We will also look ahead to the upcoming trends for and examine the ways in which this cutting edge technology is poised to change the world as we know it So join me on this exciting journey as we dive into the fascinating world of machine learning What is Machine Learning Machine learning is a subfield of artificial intelligence that involves training computer algorithms to learn from data and make predictions or decisions without being explicitly programmed to do so The term machine learning was coined in by Arthur Samuel an IBM employee and pioneer in the fields of computer gaming and artificial intelligence The process involves feeding large amounts of data into a machine learning algorithm which then learns from that data and uses it to make predictions or decisions How does Machine Learning work Machine learning works by training algorithms on large amounts of data to identify patterns and make predictions These algorithms use statistical techniques to analyze data and adjust their models based on the results of their analysis The process involves a series of steps collecting and preprocessing data selecting an appropriate model training the model on the data validating the model s performance deploying the model to make predictions and monitoring its performance over time The process of machine learning can be complex but by following these steps it is possible to build accurate and effective models that can help solve a wide range of real world problems Classification of Machine Learning There are three main types of machine learning Supervised learningUnsupervised learningReinforcement learning Supervised learning Supervised learning is a type of machine learning algorithm where the model is trained on a labeled dataset The dataset used to train the model contains both the input data and the corresponding output data or label The goal of supervised learning is to learn a mapping function that can predict the output for new input data accurately In supervised learning the dataset used for training is typically divided into two sets the training set and the validation set The training set is used to train the model while the validation set is used to test the model s performance on new unseen data The model s performance on the validation set is used to tune its hyperparameters which are the values that determine how the model learns from the data There are two main types of supervised learning classification and regression Classification Classification is a type of supervised learning where the goal is to predict a categorical or discrete output variable The input data can be of any type such as numerical textual or image based The output is usually a class label such as cat or dog or a binary label such as spam or not spam The classification algorithm learns to identify patterns in the input data that are associated with each output class Popular algorithms used for classification include logistic regression decision trees support vector machines SVMs and neural networks Regression Regression is a type of supervised learning where the goal is to predict a continuous output variable The input data can be of any type such as numerical textual or image based The output is a continuous value such as the price of a house or the temperature of a room The regression algorithm learns to identify patterns in the input data that are associated with the output value Popular algorithms used for regression include linear regression polynomial regression and neural networks Supervised learning has many practical applications such as image recognition natural language processing and recommendation systems For example in image recognition the model can be trained to identify objects in images such as cats or dogs In natural language processing the model can be trained to classify text as positive or negative based on the sentiment In recommendation systems the model can be trained to recommend products or services based on the user s past behavior Unsupervised learning Unsupervised learning is a type of machine learning where the algorithm learns from unlabeled data meaning it does not have any specific target or output variable to predict Instead it tries to identify patterns or structure within the data on its own It is a powerful technique for discovering patterns and relationships in data without any prior knowledge of the labels or outcomes and can be broadly classified into Clustering Clustering is a process of grouping similar data points together based on their similarity In clustering the data is partitioned into groups or clusters based on the similarity of the data points in each cluster The most commonly used clustering algorithms are k means hierarchical clustering and density based clustering Dimensionality Reduction Dimensionality reduction is a process of reducing the number of variables in the dataset while retaining the most important information The most commonly used dimensionality reduction techniques are Principal Component Analysis PCA t SNE and Autoencoders Association Rule Learning Association rule learning is a process of identifying relationships between variables in a dataset It is used to discover patterns and relationships between different variables in the data The most commonly used association rule learning algorithms are Apriori and FP growth Anomaly Detection Anomaly detection is a process of identifying unusual data points or outliers in a dataset Anomaly detection is used in fraud detection intrusion detection and health monitoring The most commonly used anomaly detection algorithms are Local Outlier Factor LOF Isolation Forest and One class SVM Reinforcement Learning It is a type of machine learning that is concerned with developing algorithms that can learn how to make decisions based on feedback from their environment It is a form of learning where an agent interacts with an environment and learns to take actions that maximize some notion of cumulative reward How reinforcement learning worksAn agent learns through trial and error by exploring different actions in an environment and observing the resulting outcomes The agent receives feedback from the environment in the form of a reward signal which tells it how well it is doing at achieving its goal The agent then updates its decision making policy based on the feedback it receives with the goal of maximizing the total reward it can receive over time Advantages of One of the key advantage of reinforcement learning is that it has the ability to learn from experience without the need for a predefined set of labeled data making it useful for applications such as robotics gaming and autonomous systems where agents must be able to learn and adapt to new situations in real time Reinforcement learning algorithms can be broadly categorized into two types model based and model free Model based algorithms rely on a model of the environment to make decisions while model free algorithms learn directly from the interaction with the environment without building a model Applications of Machine Learning Machine learning has a wide range of applications in various fields and its use is likely to increase as the amount of data being generated continues to grow This applications include Healthcare Machine learning has the potential to revolutionize the healthcare industry and improve patient outcomes It is being to analyze medical images predict disease outcomes and identify potential drug candidates This technology Image and Speech Recognition Machine learning algorithms can be trained to recognize images and speech allowing for applications such as facial recognition and speech to text conversion This ca be applicable in a variety of fields from security and surveillance to healthcare and education Predictive Analytics Machine learning can be used to predict future outcomes based on historical data This is particularly in finance where it can be used to identify investment opportunities and assess risks Fraud Detection Machine learning algorithms can be used to detect fraudulent transactions reducing the risk of financial loss especially in the banking and insurance industries Recommender Systems Machine learning algorithms can be used to build recommender systems that suggest products or services to users based on their preferences and past behavior This technology is used by companies such as Amazon and Netflix to recommend products and movies to their users Upcoming Trends for Machine learning is a rapidly evolving field with new trends emerging constantly as researchers and practitioners continue to push the boundaries of what is possible The most promising and exciting trends in machine learning that are likely to shape the field in the coming years include Explainable AI As AI systems become more powerful and widespread there is an increasing need for transparency and accountability Explainable AI focuses on developing models and techniques that can provide clear explanations for the decisions made by AI systems This will not only be important for legal and ethical reasons but also to help users understand and trust AI systems Automated Machine Learning focuses on developing algorithms and tools that can automatically build and optimize machine learning models This has the potential to make machine learning more accessible to non experts and to speed up the process of building and deploying models ConclusionIn conclusion we have explored the exciting world of machine learning and delved into its definition types applications and upcoming trends for We hope that this blog has provided you with a comprehensive understanding of what machine learning is and how it is transforming various industries From healthcare to finance from retail to transportation machine learning has the potential to revolutionize every sector With the advancements in technology the future of machine learning looks promising and we can expect more innovations and breakthroughs in the field I hope that you have enjoyed reading this blog and gained some valuable insights into the world of machine learning Whether you are a student a professional or simply curious about the latest technological advancements we encourage you to explore this fascinating field further and stay updated on the latest trends and developments	2023-04-11 15:42:10
Apple	AppleInsider - Frontpage News	Apple demands that it have no big tech competitors near its Mumbai store	https://appleinsider.com/articles/23/04/11/apple-demands-that-it-have-no-big-tech-competitors-near-its-mumbai-store?utm_medium=rss	Apple demands that it have no big tech competitors near its Mumbai storeApple s lease for its Apple BKC store in Mumbai reportedly includes a specific list of competing brands that it will not allow to have any advertising or retail locations nearby Apple BKC in MumbaiIndia s The Economic Times is reporting that Apple has stipulated a no go exclusive area around its new store in the Reliance Jio World Drive Mall It s curiously similar to a report about Apple s new office space in Bengaluru where the owners have agreed to bar rivals including Microsoft and Netflix Read more	2023-04-11 15:04:29
Apple	AppleInsider - Frontpage News	French antitrust agency set to investigate Apple's app tracking privacy policies	https://appleinsider.com/articles/23/04/11/french-antitrust-agency-set-to-investigate-apples-app-tracking-privacy-policies?utm_medium=rss	French antitrust agency set to investigate Apple x s app tracking privacy policiesAfter two years of availability French antitrust regulators are expected to proceed with an investigation surrounding the impacts of Apple s app tracking policies a report claims Apple s App Tracking Transparency has already caught the attention of regulators in France But it seems that after dealing with fines from the country s data protection authority competition officials want to get in on the action The French Competition Authority is believed to be preparing an antitrust investigation into Apple according to sources of Axios The investigation will look into complaints from its app tracking policy changes Read more	2023-04-11 15:27:11
海外TECH	Engadget	Samsung's T7 Shield portable SSD is down to an all-time low of $80	https://www.engadget.com/samsung-t7-shield-portable-ssd-is-down-to-an-all-time-low-of-80-152254959.html?src=rss	Samsung x s T Shield portable SSD is down to an all time low of Samsung s T Shield is a ruggedized version of our favorite portable SSD offering IP rated water and dust resistance and a durable rubber casing on top of steady data transfer speeds As part of the company s latest round of discounts on its various storage devices both the TB and TB versions of the drive are priced lower than usual at Amazon Best Buy and Samsung s own online store The former is down to which matches its all time low while the latter is on sale for which is the best price we ve seen outside of a very brief drop to last August For reference the TB model has sat at this price for the last couple of weeks but it s still about below the average going rate we ve seen in recent months The TB model meanwhile has typically retailed around as of late The T Shield isn t the only good portable SSD in this price range as other USB Gen drives like the SanDisk Extreme Portable SSD and WD My Passport SSD can squeeze out a bit more performance and have longer five year warranties Samsung gives a three year warranty But the speed differences aren t huge and while all SSDs are more durable than older HDDs the T Shield s rugged shell should provide extra peace of mind if you often bring your laptop on the road and need to transfer or backup files For many the best option is whatever s cheapest at the time right now that s the T Shield Samsung has a few other noteworthy deals on storage gear The GB Samsung Evo Select is down to which is an all time low for a quick and reliable microSD card If you don t need as much space the GB Pro Plus microSD card is a bit faster and down to a low of And while the ultrafast speeds of a PCIe SSD like the Pro aren t necessary for most the TB version of that drive is available for a low of for those building a higher end PC just make sure its firmware is up to date Follow EngadgetDeals on Twitter and subscribe to the Engadget Deals newsletter for the latest tech deals and buying advice This article originally appeared on Engadget at	2023-04-11 15:22:54
海外TECH	Engadget	Android can automatically archive apps you aren't using	https://www.engadget.com/android-can-automatically-archive-apps-you-arent-using-150337942.html?src=rss	Android can automatically archive apps you aren x t usingAfter a teaser last year Google is ready to help you save space on your phone by shelving unused apps The company is rolling out an auto archive feature that removes key parts of apps without erasing personal data So long as an app is still available on the Play Store you just have to tap its icon to re download the missing pieces This can free as much as percent of an app s space Google says You ll get the auto archive option if you try to install an app when your device doesn t have enough remaining storage If you want to look for unused apps you can visit the Apps section of settings The software will typically say that it hasn t been opened for more than a few months Developers have to publish their apps using the App Bundle format for the feature to work but that shouldn t be an issue as it s been required since The concept isn t new Apple has offered custom recommendations to pull unused apps since iOS s release in However the addition may be particularly helpful on Android which powers a wider range of phones including low end models You may not feel as much pressure to upgrade a budget handset if you know you can simply archive apps until you re ready to use them Google adds that this could help developers If users can auto archive apps they re less likely to completely uninstall those apps Creators may be more likely to hold on to users even if those customers seldomly return This article originally appeared on Engadget at	2023-04-11 15:03:37
Cisco	Cisco Blog	The New Cisco Umbrella APIs for Managed Service Providers	https://feedpress.me/link/23532/16066131/the-new-cisco-umbrella-apis-for-managed-service-providers	The New Cisco Umbrella APIs for Managed Service ProvidersAPIs help MSPs to easily automate and seamlessly integrate products into their existing operations platforms The new Umbrella APIs are based on OpenAPI Specification OAS a standard that provides an enhanced experience for MSPs	2023-04-11 15:00:44
海外科学	NYT > Science	Abortion Ruling Could Undermine the F.D.A.’s Drug-Approval Authority	https://www.nytimes.com/2023/04/10/health/abortion-pill-fda.html	Abortion Ruling Could Undermine the F D A s Drug Approval AuthorityLegal scholars say the ruling by a Texas judge if upheld could spur disputes over many medications and upend the drug industry s reliance on the agency	2023-04-11 15:42:44
金融	金融庁ホームページ	スチュワードシップ・コードの受入れを表明した機関投資家のリストを更新しました。	https://www.fsa.go.jp/singi/stewardship/list/20171225.html	機関投資家	2023-04-11 17:00:00
金融	金融庁ホームページ	「NISAの満足度等に関する調査」を公表しました。	https://www.fsa.go.jp/common/about/research/20230407_2/20230407_2.html	調査	2023-04-11 17:00:00
金融	金融庁ホームページ	リスク性金融商品の販売・管理態勢に関する アンケート調査結果 （地域銀行１００行）を公表しました。	https://www.fsa.go.jp/news/r4/kokyakuhoni/20230411/fd_20230411.html	地域銀行	2023-04-11 17:00:00
金融	金融庁ホームページ	「脱炭素等に向けた金融機関等の取組みに関する検討会」（第６回）を開催します。	https://www.fsa.go.jp/news/r4/singi/20230411.html	金融機関	2023-04-11 17:00:00
海外TECH	reddit	[DISC] Chainsaw Man - Ch. 126 links	https://www.reddit.com/r/ChainsawMan/comments/12imnpp/disc_chainsaw_man_ch_126_links/	DISC Chainsaw Man Ch links Source Status Mangaplus Online Viz Online Join us on Discord Rate the chapter on a scale of View Poll submitted by u JeanneDAlter to r ChainsawMan link comments	2023-04-11 15:04:18