投稿時間:2023-06-19 04:15:47 RSSフィード2023-06-19 04:00 分まとめ(21件)

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python Pythonタグが付けられた新着投稿 - Qiita 【Linux/Python】Psi4とRDkitの導入~電荷と双極子モーメントの算出 https://qiita.com/h-nabata/items/11eb4c14f97d4f761445 anaconda 2023-06-19 03:39:42
Ruby Rubyタグが付けられた新着投稿 - Qiita Rubyで仮想DOMを扱える`ruby-wasm-vdom`を使ってCOWインタプリタを作ってみた https://qiita.com/ohakutsu/items/cd982be36e3f746fcaf8 getty 2023-06-19 03:09:37
Docker dockerタグが付けられた新着投稿 - Qiita Docker Scout と GitHub の統合ワークフロー https://qiita.com/gtrekter/items/aa0bd7d98e59be3afd73 qiita 2023-06-19 03:07:35
Docker dockerタグが付けられた新着投稿 - Qiita Supabase ローカル開発環境 + サーバー運用を想定 2023 https://qiita.com/masakinihirota/items/be94b4c74a7850a4b79c githubcopilot 2023-06-19 03:04:07
海外TECH MakeUseOf How to Fix the “Something Went Wrong” Office Error on Windows https://www.makeuseof.com/something-went-wrong-office-windows/ error 2023-06-18 18:16:18
海外TECH DEV Community GMM Clustering Algorithm Demystified https://dev.to/rajaniraiyn/gmm-clustering-algorithm-demystified-fpb GMM Clustering Algorithm DemystifiedGMM stands for Gaussian Mixture Model which is a distribution based clustering algorithm that assumes the data is composed of a mixture of Gaussian distributions The goal of the algorithm is to find the parameters of the distribution of each cluster such as the mean covariance and mixing coefficient WorkingStep Choose k as the number of Gaussian distributions or clusters in the data Initialize the parameters of each distribution randomly such as the mean covariance and mixing coefficient Step Calculate the probability of each data point belonging to each cluster using the current parameters and the Gaussian probability density function This is also known as the expectation step where the algorithm assigns a soft membership to each data point based on its likelihood Step Update the parameters of each cluster using the probabilities calculated in step and the maximum likelihood estimation method This is also known as the maximization step where the algorithm maximizes the log likelihood function with respect to the parameters Step Repeat steps and until the parameters converge or a maximum number of iterations is reached Pseudocode Input data points X number of clusters k maximum number of iterations max iter Output cluster assignments C cluster parameters M Step Initialize k cluster parameters randomlyM random parameters X k Initialize cluster assignmentsC empty array X size Initialize number of iterationsiter Loop until convergence or maximum iterationswhile iter lt max iter Step Calculate the probability of each data point belonging to each cluster P probability X M Step Update the parameters of each cluster using maximum likelihood estimation M update parameters X P Increment the number of iterations iter iter Assign each data point to the cluster with the highest probabilityfor i in range X size C i argmax P i Return the final cluster assignments and cluster parametersreturn C M AdvantagesIt can model clusters with different shapes sizes densities and orientations unlike k means which assumes spherical clusters It can assign soft memberships to data points meaning that a data point can belong to more than one cluster with different degrees of probability It can handle outliers or noise points by assigning them low probabilities DisadvantagesIt requires choosing k in advance which can be difficult or arbitrary It is sensitive to initialization and may converge to local optima It assumes that the data follows a Gaussian distribution which may not be true for some datasets It can have difficulty with high dimensional data as the covariance matrix becomes large and complex References and Further ReadingGaussian Mixture Model GeeksforGeeksGaussian Mixture Models Machine Learning Google for DevelopersGaussian Mixture Models Towards Data ScienceThis will be a multipart series which will follow up with more clustering algorithms with their working pseudocode advantages and disadvantages Please stay tuned for more such content If you liked this post please share it with your friends and fellow developers And don t forget to follow us for more programming tutorials and examples And also have a look my Portfoliocode‍together Githubconnect LinkedIn 2023-06-18 18:30:00
海外TECH DEV Community Yet Another Newsletter LOL: AI and Pandas https://dev.to/nickytonline/yet-another-newsletter-lol-ai-and-pandas-1m0d Yet Another Newsletter LOL AI and PandasAnother week another newsletter Let s get to it Around the WebAn interesting read from the GitHub blog Survey reveals AI s impact on the developer experienceThe folks at builder io have a new post out that s worth a look ChatGPT Prompts for Web DevelopersI still need to check this out but Panda a universal styling solution for the modern web recently dropped It s touted as a CSS in JS library that bundles at build time is type safe and is scalable Panda works in Next js App dir Astro Qwik Solid and more Check out the demo Great news for the Fresh project Not only did they drop version but Marvin Hagemeister Preact core team is now the lead maintainer and latest Deno hire Congrats Marvin Fresh amp Deno Fun StuffLEGO designers crack the conspiracy of the long lost LEGO goatWords of Wisdom for the WeekHard to enact meaningful change unless you understand the impacts of your decisions IMO Sarah Drasner on TwitterShameless PlugsIt was a double header stream week on nickyt live Austin Gil from Akamai amp Nick Nisi from CFO and JSParty fame joined me on stream Lots of fun and great conversation The recordings will be up on YouTube sometime next week but in the interim check out the highlights Highlight Full Spectrum File Uploads with Austin GilHighlight Let s build something fun with XState TypeScript and React with Nick NisiThe stream with Glauber Costa from Turso is up Check it out and remember to like and subscribe JobsThere some open roles at Clerk Frontend backend developer advocate…Supabase is looking for a Customer Solution ArchitectI post jobs in the iamdeveloper com community plus all other kinds of content as do others If you re looking for another friendly nook of the internet head to discord iamdeveloper com If you liked this newsletter you can subscribe or if RSS is your jam you can also subscribe via RSS 2023-06-18 18:29:28
海外科学 NYT > Science Northern India Endures Heat Wave, and a Wave of Deaths https://www.nytimes.com/2023/06/18/world/asia/india-heat-death.html Northern India Endures Heat Wave and a Wave of DeathsSome doctors believe the high number of fatalities is tied to the temperatures But the authorities are still trying to determine how many people died and what exactly killed them 2023-06-18 18:25:09
ニュース BBC News - Home Uganda school attack: 'Gospel songs interrupted by screaming' https://www.bbc.co.uk/news/world-africa-65945814?at_medium=RSS&at_campaign=KARANGA brutality 2023-06-18 18:38:13
ニュース BBC News - Home The Ashes 2023: Ollie Robinson 'does not care' about how Usman Khawaja celebration is seen https://www.bbc.co.uk/sport/cricket/65946176?at_medium=RSS&at_campaign=KARANGA The Ashes Ollie Robinson x does not care x about how Usman Khawaja celebration is seenEngland s Ollie Robinson says he does not care how his celebration for the wicket of Usman Khawaja was perceived in the Australia dressing room 2023-06-18 18:37:29
ビジネス ダイヤモンド・オンライン - 新着記事 無洗玄米、発芽玄米、ロウカット玄米って何?初心者でも失敗しない玄米食の始め方 - ストレスフリーな食事健康術 岡田明子 https://diamond.jp/articles/-/324595 無洗玄米、発芽玄米、ロウカット玄米って何初心者でも失敗しない玄米食の始め方ストレスフリーな食事健康術岡田明子健康につながる食材ということで挙げられる玄米。 2023-06-19 03:55:00
ビジネス ダイヤモンド・オンライン - 新着記事 「統計的に正しいことが、個人にとって正しいとは限らない」という問題 - シンプルで合理的な人生設計 https://diamond.jp/articles/-/323866 人生設計 2023-06-19 03:50:00
ビジネス ダイヤモンド・オンライン - 新着記事 心を病まずに上手に叱られるコツ - 20代が仕事で大切にしたいこと https://diamond.jp/articles/-/323669 飯塚 2023-06-19 03:45:00
ビジネス ダイヤモンド・オンライン - 新着記事 物価上昇2%超を見通す日銀、利上げの判断が遅れた米国と同じ失敗をしていないか - 数字は語る https://diamond.jp/articles/-/324630 展望レポート 2023-06-19 03:40:00
ビジネス ダイヤモンド・オンライン - 新着記事 【社説】トヨタ株主、気候ロビーに一撃 - WSJ PickUp https://diamond.jp/articles/-/324629 wsjpickup 2023-06-19 03:35:00
ビジネス ダイヤモンド・オンライン - 新着記事 ロシア労働力不足、経済の大問題に - WSJ PickUp https://diamond.jp/articles/-/324628 wsjpickup 2023-06-19 03:30:00
ビジネス ダイヤモンド・オンライン - 新着記事 マイクロソフトとオープンAI、気まずい提携 - WSJ PickUp https://diamond.jp/articles/-/324627 wsjpickup 2023-06-19 03:25:00
ビジネス ダイヤモンド・オンライン - 新着記事 北海道大学のキャンパスはどんな雰囲気? - 大学図鑑!2024 有名大学82校のすべてがわかる! https://diamond.jp/articles/-/324650 2023-06-19 03:20:00
ビジネス ダイヤモンド・オンライン - 新着記事 職場にいる「良いアドバイスができる人」と「ただの自己満足で終わってしまう人」の決定的な違いとは - 1秒で答えをつくる力 お笑い芸人が学ぶ「切り返し」のプロになる48の技術 https://diamond.jp/articles/-/324645 2023-06-19 03:15:00
ビジネス ダイヤモンド・オンライン - 新着記事 【売れる商品】「便利さ・心地よさ」に続く「第3の要素」とは? - 新マーケティング原論 https://diamond.jp/articles/-/323911 2023-06-19 03:10:00
ビジネス ダイヤモンド・オンライン - 新着記事 「アイデアに価値はない」と思う人ほど、うまくいく理由 - 発想の回路 https://diamond.jp/articles/-/324614 「アイデアに価値はない」と思う人ほど、うまくいく理由発想の回路「アイデアが思いつかない」「企画が通らない」「頑張っても成果が出ない」このように悩んだことはないでしょうか。 2023-06-19 03:05:00

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