投稿時間:2023-01-17 23:23:27 RSSフィード2023-01-17 23:00 分まとめ(32件)

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IT	気になる、記になる…	新製品発表と何か関係が?? − Appleの企業向けオンラインストアがメンテナンス中に	https://taisy0.com/2023/01/17/167154.html	apple	2023-01-17 13:36:49
IT	気になる、記になる…	やはり今後数週間以内に｢メタルギア｣関連の発表が行われる?? − 雷電の声優が示唆	https://taisy0.com/2023/01/17/167149.html	雷電	2023-01-17 13:19:48
TECH	Techable（テッカブル）	就活仲間とアバターで情報交換できるアプリ登場。ES添削・模擬面接もオンラインで	https://techable.jp/archives/191258	株式会社	2023-01-17 13:41:18
TECH	Techable（テッカブル）	小田急ロマンスカー内でXRを体験できるツアーを開催！伊勢原に向かう車内で「XR作品」を視聴	https://techable.jp/archives/191255	小田急ロマンスカー	2023-01-17 13:40:33
python	Pythonタグが付けられた新着投稿 - Qiita	綺麗なインペインティング Pytorch-MADF の使い方	https://qiita.com/john-rocky/items/971cfe82accd80922b28	pytorchmadf	2023-01-17 22:35:02
python	Pythonタグが付けられた新着投稿 - Qiita	Dataplex(Data Catalog) でカスタムエントリを更新する - カラムの description を変えてみる	https://qiita.com/ShuA/items/f5f7638ccd2c06afbfa8	bigquery	2023-01-17 22:25:01
js	JavaScriptタグが付けられた新着投稿 - Qiita	Javascript基礎	https://qiita.com/koooen/items/8c06c845ffa45342c5a5	script	2023-01-17 22:08:21
golang	Goタグが付けられた新着投稿 - Qiita	Go言語の簡単なテスト方法	https://qiita.com/totoaoao/items/78c90fa66e82609427d9	nethttptypea	2023-01-17 22:54:57
Git	Gitタグが付けられた新着投稿 - Qiita	GitHub 初期設定〜使い方まで Vol.1	https://qiita.com/yuuuki72/items/b4f906c1548137971825	github	2023-01-17 22:27:47
海外TECH	DEV Community	Calculus for Data Science: An Introduction	https://dev.to/anurag629/calculus-for-data-science-an-introduction-33lm	Calculus for Data Science An IntroductionCalculus is a branch of mathematics that deals with the study of rates of change and accumulation of quantities In data science some of the main important topics in calculus include Derivatives used to understand how a function changes with respect to its input Integrals used to calculate the total accumulated change of a function Multivariate calculus deals with functions of multiple variables which is important for understanding more complex data sets Optimization used to find the best solution for a problem such as finding the minimum or maximum of a function Differential equations used to model complex phenomena and make predictions about them These concepts are used in many machine learning algorithms like gradient descent linear regression and neural networks DerivativesIn calculus a derivative is a measure of how a function changes as its input also called the independent variable changes It is represented by the symbol d dx or ∂ ∂x where x is the input variable The derivative of a function tells us the slope of the function at a given point which can be used to determine the rate of change of the function at that point For example consider the simple function f x x The derivative of this function is f x x This tells us that the slope of the function at any point x is x If we graph the function we can see that it is a parabola and the slope of the parabola at any point x is x In data science derivatives are used in machine learning algorithms like gradient descent Gradient descent is an optimization algorithm used to find the minimum of a function also called the cost function The algorithm starts at a random point on the function and iteratively moves in the direction of the negative gradient the derivative until it reaches a minimum Here is an example of how to calculate the derivative of a function in python Example from sympy import x Symbol x f x derivative f diff x print derivative xWe can visualize the function and its derivative using python libraries such as matplotlib or plotly Here is an example using matplotlib import matplotlib pyplot as pltimport numpy as npx np linspace y x dy xfig ax plt subplots ax plot x y r linewidth ax plot x dy g linewidth ax legend y x dy dx x plt show Example Consider the function f x sin x The derivative of this function is f x cos x This tells us that the slope of the function at any point x is cos x In data science the sine function and its derivative the cosine function are often used in time series analysis and signal processing For example the sine function can be used to model periodic patterns in data such as daily temperature fluctuations or stock prices The derivative of the sine function the cosine function can be used to determine the rate of change of these patterns at any given point in time x np linspace np pi np pi y np sin x dy np cos x fig ax plt subplots ax plot x y r linewidth ax plot x dy g linewidth ax legend y sin x dy dx cos x plt show IntegralAn integral is a measure of the total accumulated change of a function with respect to its input It is represented by the symbol ∫ and the integral of a function from a to b is represented by the notation ∫a b Integrals can be classified into two types definite and indefinite integrals A definite integral has specific limits of integration and the result is a single value while an indefinite integral does not have specific limits of integration and the result is a function For example consider the simple function f x x The definite integral of this function from a to b is ∫ x dx x evaluated at the limits of integration In data science integrals are used in a variety of contexts such as In probability and statistics integrals are used to calculate probability densities and cumulative distribution functions In signal processing integrals are used to calculate the area under a signal curve which can be used to determine the total energy of the signal In physics and engineering integrals are used to calculate displacement velocity and acceleration Here is an example of how to calculate the definite integral of a function in python x Symbol x f x integral integrate f x print integral x np linspace y x fig ax plt subplots ax fill between x y plt show This will plot the function y x and fill the area under the curve representing the definite integral of the function Multivariate CalculusIn calculus multivariate calculus deals with functions of multiple variables as opposed to single variable functions In data science this is important for understanding more complex data sets that have multiple features or variables For example consider a simple two variable function f x y x y This is a function of two variables x and y The partial derivative of this function with respect to x is ∂f ∂x x and the partial derivative with respect to y is ∂f ∂y y These partial derivatives tell us how the function changes with respect to each variable independently In data science multivariate calculus is used in machine learning algorithms like gradient descent Gradient descent is an optimization algorithm used to find the minimum of a function also called the cost function In multivariate case the gradient descent algorithm updates the values of all the variables features simultaneously based on their partial derivatives Here is an example of how to calculate the partial derivative of a function in python x y symbols x y f x y partial x f diff x partial y f diff y print partial x print partial y x ydef f x y return x y x np linspace y np linspace X Y np meshgrid x y Z f X Y fig plt figure ax plt axes projection d ax plot surface X Y Z cmap viridis plt show Optimization In mathematics and computer science optimization is the process of finding the best solution for a problem such as finding the minimum or maximum of a function In data science optimization algorithms are used to find the best parameters for a model to make accurate predictions For example consider a simple function f x x The minimum of this function is at x where f x An optimization algorithm like gradient descent can be used to find the minimum of this function Gradient descent starts at a random point on the function and iteratively moves in the direction of the negative gradient the derivative until it reaches a minimum In data science optimization algorithms are used in a variety of contexts such as In machine learning optimization algorithms are used to find the best parameters for a model such as the weights in a neural network In computer vision optimization algorithms are used to find the best parameters for image processing algorithms such as image compression In natural language processing optimization algorithms are used to find the best parameters for language models such as word embeddings Here is an example of how to use the optimization algorithm gradient descent in python import numpy as npdef f x return x def grad x return xx learning rate iterations for i in range iterations x x learning rate grad x print x print f x e e Another example is to find the maximum of a function for example f x x the maximum of this function is at x where f x In this case you can use optimization algorithm like gradient ascent which is the same as gradient descent but with a positive gradient to find the maximum of the function x np linspace y x fig ax plt subplots ax plot x y r linewidth ax scatter c green s ax annotate Minimum xy xytext arrowprops arrowstyle gt color green plt show Differential equations A differential equation is an equation that describes the relationship between a function and its derivatives It is used to model complex phenomena and make predictions about them In data science differential equations are used in a variety of contexts such as In finance differential equations are used to model stock prices and interest rates In physics and engineering differential equations are used to model physical systems such as the motion of a particle or the flow of a fluid In biology and medicine differential equations are used to model the spread of diseases and the behavior of populations For example consider the simple differential equation dy dx x This equation describes the relationship between the function y and its derivative dy dx To find the specific function y that satisfies this equation we can use a technique called integration which essentially undoes the derivative Integrating both sides of the equation with respect to x gives us y x C where C is an arbitrary constant of integration from scipy integrate import solve ivpdef dy dx x y return xsolution solve ivp dy dx t eval y solution y print y t np linspace y np exp t fig ax plt subplots ax plot t y r linewidth plt show Summary Data science is a field that heavily relies on the concepts of calculus In this post we will introduce the basics of derivatives integrals multivariate calculus optimization and differential equations and how they are used in data science Through simple examples and visualizations we will explore how these concepts are applied in time series analysis signal processing machine learning computer vision and natural language processing By understanding the fundamentals of calculus data scientists can better analyze and understand complex data sets optimize models and make accurate predictions	2023-01-17 13:38:24
海外TECH	DEV Community	SRE book notes: Eliminating Toil	https://dev.to/bitmaybewise/sre-book-notes-eliminating-toil-5am5	SRE book notes Eliminating ToilThese are the notes from Chapter Eliminating Toil from the book Site Reliability Engineering How Google Runs Production Systems This is a post of a series The previous post can be seen here SRE book notes Service Level Objectives Hercules Lemke Merscher・Jan ・ min read sre books slo So what is toil Toil is the kind of work tied to running a production service that tends to be manual repetitive automatable tactical devoid of enduring value and that scales linearly as a service grows Not every task deemed toil has all these attributes but the more closely work matches one or more of the following descriptions the more likely it is to be toilWe don t need to go that far to find toil in our daily work A very simple example of a task that can be considered toil is a semi manual step by step deployment process Who never had to have installed a set of tools in the laptop to build and deploy a program at some point in time and perform some actions in a predefined order It s the kind of thing that becomes more annoying the more the company grows and nobody is willing to do it At least of each SRE s time should be spent on engineering project work that will either reduce future toil or add service features We share this goal because toil tends to expand if left unchecked and can quickly fill of everyone s time Toil isn t always and invariably bad…It s fine in small doses and if you re happy with those small doses toil is not a problem Toil becomes toxic when experienced in large quantities If you re burdened with too much toil you should be very concerned and complain loudly Your career progress will slow down or grind to a halt if you spend too little time on projects Google rewards grungy work when it s inevitable and has a big positive impact but you can t make a career out of grunge Be attentive if you re the kind of professional who starts to happily accept too much toil to help your colleagues People around you will be super happy that you re dealing with the boring work for them but eventually you could be setting a trap for yourself as without noticing they will let you deal with the toil all the time to the point you will not have time to work on projects that will make you progress in your career People have different limits for how much toil they can tolerate but everyone has a limit Too much toil leads to burnout boredom and discontent Excessive toil makes a team less productive A product s feature velocity will slow if the SRE team is too busy with manual work and firefighting to roll out new features promptly Even if you re not personally unhappy with toil your current or future teammates might like it much less If you build too much toil into your team s procedures you motivate the team s best engineers to start looking elsewhere for a more rewarding job New hires or transfers who joined SRE with the promise of project work will feel cheated which is bad for morale Most probably the best engineers will dodge the bullet before even joining the team by asking the right questions during the interview process considering you re being frank with them Few engineers are motivated to jump into a big pile of toil and accept the challenge of dealing with and reducing it to acceptable levels This chapter resonated a lot with some experiences I had in the past I wish I had read this chapter before At least now I have a piece of literature to recommend So better keep toil under acceptable thresholds If you liked this post consider subscribing to my newsletter Bit Maybe Wise You can also follow me on Twitter and Mastodon Photo by Tim Gouw on Unsplash	2023-01-17 13:32:19
海外TECH	DEV Community	Stubs/fakes(casting as a particular object)	https://dev.to/csituma/stubsfakescasting-as-a-particular-object-105f	Stubs fakes casting as a particular object Stubs are a key tool for software testing allowing developers to test individual units of code in isolation by replacing external dependencies with simplified versions Here s an example of a stub in use import IncomingMessage from http import Utils from app Utils Utils describe Utils test Suite gt test getRequestPath valid request gt const request url http localhost login as IncomingMessage const requestPath Utils getRequestBasePath request expect requestPath toBe login In this example the Utils getRequestBasePath req IncomingMessage string function is being tested using a stub specifically the const request url http localhost login as IncomingMessage object This object simulates an incoming HTTP request and is used in place of an actual incoming request that would come from a client The function is supposed to extract the base path of the request URL and return it In the test case the request URL is hardcoded to be http localhost login and the expected output is login The test case uses the Jest testing framework to test the expected output of the function Stubs are not only useful in unit testing but also in integration testing and acceptance testing They are used to replace external systems with simple implementations allowing the developer to test how different parts of the system interact with each other and make tests more efficient reliable and flexible	2023-01-17 13:11:54
Apple	AppleInsider - Frontpage News	Apple's business store goes down ahead of rumored launches	https://appleinsider.com/articles/23/01/17/apples-business-store-goes-down-ahead-of-rumored-launches?utm_medium=rss	Apple x s business store goes down ahead of rumored launchesApple has taken down its online store for business users in what could be preparation for the launch of updated Mac models Apple s online store for businesses is down Apple traditionally takes down its online stores ahead of major announcements to give it an opportunity to make changes to its product lineup Following late and unusual rumors of new products in January Apple has done the same thing on the morning of an expected announcement Read more	2023-01-17 13:19:22
Apple	AppleInsider - Frontpage News	How to use AI subject selection in Photos in iOS 16 & macOS Ventura	https://appleinsider.com/inside/ios-16/tips/how-to-use-ai-subject-selection-in-photos-in-ios-16-macos-ventura?utm_medium=rss	How to use AI subject selection in Photos in iOS amp macOS VenturaApple added a few new AI based selection tools to Photos in iOS and Preview in macOS Ventura Here s how to use them Apple s Photos app on iOS has a few new image selection and copy features You can use these features to make selected portions of your photos available to others or to copy them to other applications Copy and share Read more	2023-01-17 13:19:51
海外TECH	Engadget	Amazon has a big sale on TP-Link routers and smart home gadgets	https://www.engadget.com/amazon-sale-tp-link-routers-smart-home-gadgets-132551567.html?src=rss	Amazon has a big sale on TP Link routers and smart home gadgetsIf you re looking for new routers mesh WiFi systems and smart home devices such as lights and plugs TP Link is selling quite a few at a discount on Amazon The TP Link Archer AX WiFi router is currently available for which while not quite its lowest price on the website is still percent off retail The company says it was designed with K streaming in mind If you re a frequent and serious gamer TP Link s Archer GX WiFi Gaming router is also on sale for which is the lowest we ve seen it go for on the website nbsp Buy TP Link modems routers and smart home devices at Amazon up to percent offArcher GX is a tri band router which provides a Gbps dedicated band for your gaming needs It can detect and optimize game streams and it comes with eight detachable antennas that give it the power to provide WiFi coverage for a four bedroom house Meanwhile TP Link s Archer AXE Quad Band WiFi E router has dropped back down to its all time low of It can deliver WiFi speeds of up to Gbps and provide access to a new GHz band Like the Archer GX this router also comes with eight antennas to ensure WiFi coverage for big homes But if you still need mesh WiFi systems to help boost coverage there are a couple on sale right now as well nbsp You can get a three pack bundle of the TP Link Deco P Hybrid Mesh WiFi system which can provide coverage for a sq ft home for That s percent less than its typical price Meanwhile a two pack bundle of the TP Link Deco X is on sale for or percent lower than retail The two WiFi capable mesh devices can cover over an area up to sq ft in size nbsp If you re looking for smart home devices you can also find Kasa and Tapo by TP Link branded products in the list The Kasa Smart Plug Mini is on sale for down from retail It can add voice control support to any outlet particularly for Alexa and Google Assistant The device also allows you to switch off electronics from anywhere using the Kasa app and to monitor the consumption of anything that s plugged into it In addition the TP Link sale includes Kasa Smart Bulbs for percent off as well as Kasa and Tapo light strips for up to percent off nbsp Follow EngadgetDeals on Twitter and subscribe to the Engadget Deals newsletter for the latest tech deals and buying advice	2023-01-17 13:25:51
海外TECH	CodeProject Latest Articles	Connecting to IBM MQ (with SSL)	https://www.codeproject.com/Tips/5268164/Connecting-to-IBM-MQ-with-SSL	connecting	2023-01-17 13:21:00
海外科学	NYT > Science	Are We Living in a Computer Simulation, and Can We Hack It?	https://www.nytimes.com/2023/01/17/science/cosmology-universe-programming.html	algorithm	2023-01-17 13:08:39
海外TECH	WIRED	Big Tech’s Layoffs Highlight How the US Fails Immigrant Workers	https://www.wired.com/story/big-techs-layoffs-highlight-how-the-us-fails-immigrant-workers/	country	2023-01-17 14:00:00
金融	RSS FILE - 日本証券業協会	新型コロナウイルス感染症への証券関係機関等・各証券会社の対応について（リンク集）	https://www.jsda.or.jp/shinchaku/coronavirus/link.html	新型コロナウイルス	2023-01-17 14:30:00
金融	金融庁ホームページ	つみたてNISA対象商品届出一覧、つみたてNISA取扱金融機関一覧を更新しました。	https://www.fsa.go.jp/policy/nisa2/about/tsumitate/target/index.html	対象商品	2023-01-17 15:00:00
金融	金融庁ホームページ	適格機関投資家等特例業務届出者に対する行政処分について公表しました。	https://www.fsa.go.jp/news/r4/shouken/20230117.html	行政処分	2023-01-17 15:00:00
ニュース	BBC News - Home	A39 Somerset: Double-decker bus carrying 70 people overturns	https://www.bbc.co.uk/news/uk-england-somerset-64301329?at_medium=RSS&at_campaign=KARANGA	conditions	2023-01-17 13:39:19
ニュース	BBC News - Home	David Carrick: Metropolitan Police sack serial rapist police officer	https://www.bbc.co.uk/news/uk-england-beds-bucks-herts-64302608?at_medium=RSS&at_campaign=KARANGA	officers	2023-01-17 13:45:29
ニュース	BBC News - Home	Ken Bruce to leave BBC Radio 2 show after 31 years and join Greatest Hits	https://www.bbc.co.uk/news/entertainment-arts-64305756?at_medium=RSS&at_campaign=KARANGA	greatest	2023-01-17 13:02:58
ニュース	BBC News - Home	UK conversion therapy ban to include trans people	https://www.bbc.co.uk/news/uk-64304142?at_medium=RSS&at_campaign=KARANGA	gender	2023-01-17 13:42:31
ニュース	BBC News - Home	Brixton Academy security guards regularly 'took bribes'	https://www.bbc.co.uk/news/uk-64263074?at_medium=RSS&at_campaign=KARANGA	academy	2023-01-17 13:51:25
ニュース	BBC News - Home	Britishvolt: UK battery start-up collapses into administration	https://www.bbc.co.uk/news/business-64303149?at_medium=RSS&at_campaign=KARANGA	attempts	2023-01-17 13:27:04
ニュース	BBC News - Home	Murray holds off Berrettini in five-set Melbourne thriller	https://www.bbc.co.uk/sport/tennis/64300085?at_medium=RSS&at_campaign=KARANGA	Murray holds off Berrettini in five set Melbourne thrillerAndy Murray produces one of his best performances in recent years to hold off Italian th seed Matteo Berrettini in a five set thriller at the Australian Open first round	2023-01-17 13:19:49
ニュース	BBC News - Home	Cost of living: Five tips when asking for a pay rise	https://www.bbc.co.uk/news/business-64288791?at_medium=RSS&at_campaign=KARANGA	psychologist	2023-01-17 13:41:55
ニュース	BBC News - Home	NFL: Dak Prescott stars as Dallas Cowboys beat Tampa Bay Buccaneers 31-14	https://www.bbc.co.uk/sport/av/american-football/64306272?at_medium=RSS&at_campaign=KARANGA	NFL Dak Prescott stars as Dallas Cowboys beat Tampa Bay Buccaneers Watch the key plays as Dak Prescott stars for the Dallas Cowboys in a wildcard weekend play off victory against the Tampa Bay Buccaneers	2023-01-17 13:14:51
ニュース	BBC News - Home	Six Nations: Scotland include McConnochie, Healy, Henderson & McDowall in squad	https://www.bbc.co.uk/sport/rugby-union/64306112?at_medium=RSS&at_campaign=KARANGA	scotland	2023-01-17 13:18:07
海外TECH	reddit	we still going to pull an august?	https://www.reddit.com/r/BBBY/comments/10ebsmd/we_still_going_to_pull_an_august/	we still going to pull an august submitted by u Mysterious Moee to r BBBY link comments	2023-01-17 13:04:54