#knime — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #knime, aggregated by home.social.
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Webinar: Mastering Flow Variables in KNIME Learn how flow variables enable dynamic, parametric workflows beyond simple automation. #KNIME #DataScience #Webinar #Automation #Analytics #NoCode
RE: https://bsky.app/profile/did:plc:tj7ezlihla4k6jbegjthsssi/post/3lom2xzgozk2y -
Hoje em dia talvez seja papo meio fora de moda, mas quando eu discutia muito sobre migrações do #Windows para #Linux, o fantasma do #Excel com macros nojentas em VBA sempre espreitava. Depois de alguns anos trabalhando com #KNIME, eu sugiro romper com o Excel de uma vez. Se não for possível abandonar certos fluxos legados, nem vale a pena migrar. Migração para Linux não pode ser encarada como "Windows de graça" ou "Windows sem os problemas do Windows". Isso é auto-enganação e dá prejuízo depois.
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Estou processando alguns dados extraídos do #Notion via #KNIME (usando snippet de código #Python que consulta "bancos de dados do Notion" via API) e não consigo ignorar o consumo de recursos. O processador Xeon de >10 anos frita para processar cerca de mil linhas. São vários minutos até conseguir chegar numa tabela utilizável. E a coisa só não fica pior porque eu rodo um ambiente leve (baseado no #FVWM) e posso dedicar 8 GB de RAM apenas para o KNIME, já que o computador tem 40 GB.
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Read this blog to learn about #financialanalytics, what a financial analyst does, how to become one, and why financial analytics matters. Discover use cases, challenges, and how #lowcode #KNIME helps automate workflows in FP&A, audit, tax, and more. https://brnw.ch/21wN0Ae
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More exciting #OpenMS news:
We are proud to announce the release of OpenMS 3.2, now with support for #KNIME 5.3 better export integration with #SIRIUS and improvements to our spectra viewer TOPPView. Read about all the improvements and find a link to download the installers at https://openms.de/news/release3.2/
#OpenScience #TeamMassSpec #opensource -
What if we told you that in roughly 10 mins from now, you could have a completely free #LLM running locally on your computer — with zero lines of code? 💻 Read how in this article by KNIME CloudOps Engineer SJ Porter, using #GPT4All and #KNIME Analytics Platform: https://brnw.ch/21wMPYv
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Recentemente, tenho avaliado escrever e gravar alguns conteúdos sobre tratamento de dados, automação, integração com pacotes de escritório e boas práticas no geral. Trabalhei por 3,5 anos numa consultoria (um escritório de planejamento urbano e regional) e percebi que há muitas lacunas, mesmo quando o #QGIS está presente. Em matéria de tratamento de dados e automação, sou usuário do #KNIME, logo, decidi dar uma olhada em alternativas, como #Pentaho (PDI, que já conhecia de outros carnavais) e #ApacheHop, mas a que mais achei curiosa foi o #ApacheNiFi.
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Recentemente, tenho avaliado escrever e gravar alguns conteúdos sobre tratamento de dados, automação, integração com pacotes de escritório e boas práticas no geral. Trabalhei por 3,5 anos numa consultoria (um escritório de planejamento urbano e regional) e percebi que há muitas lacunas, mesmo quando o #QGIS está presente. Em matéria de tratamento de dados e automação, sou usuário do #KNIME, logo, decidi dar uma olhada em alternativas, como #Pentaho (PDI, que já conhecia de outros carnavais) e #ApacheHop, mas a que mais achei curiosa foi o #ApacheNiFi.
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Recentemente, tenho avaliado escrever e gravar alguns conteúdos sobre tratamento de dados, automação, integração com pacotes de escritório e boas práticas no geral. Trabalhei por 3,5 anos numa consultoria (um escritório de planejamento urbano e regional) e percebi que há muitas lacunas, mesmo quando o #QGIS está presente. Em matéria de tratamento de dados e automação, sou usuário do #KNIME, logo, decidi dar uma olhada em alternativas, como #Pentaho (PDI, que já conhecia de outros carnavais) e #ApacheHop, mas a que mais achei curiosa foi o #ApacheNiFi.
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In our latest blog, we're happy to share a comprehensive overview of all free KNIME cheat sheets! Whether you're just starting your data science journey or a seasoned pro, we've got something for everyone, organized by learning level, data profession, and area of expertise. Check it out and boost your skills with us! 💪✨ https://bit.ly/4e3TiTd
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💡 Ready to beef up your data science knowledge? Dive into this complete glossary to learn all the most common data science terminology from the experts at KNIME. Don't forget to bookmark it! 🔖 https://brnw.ch/21wLNS6
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Take a peek at our most recent blog for a #lowcode way of connecting with #opensource #LLMs locally via #Ollama using #KNIME's AI extension! We've got a tutorial to guide you in connecting to 80+ LLMs using KNIME: https://brnw.ch/21wLvt2
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#DBSCAN is effective for detecting fraudulent transactions, because it can automatically detect clusters of normal behavior and highlight anomalies without needing detailed prior knowledge about the fraud patterns.💰🔍 Read this #KNIMEforFinance article: https://brnw.ch/21wLmmC
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#DBSCAN is effective for detecting fraudulent transactions, because it can automatically detect clusters of normal behavior and highlight anomalies without needing detailed prior knowledge about the fraud patterns.💰🔍 Read this #KNIMEforFinance article: https://brnw.ch/21wLmmC
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#DBSCAN is effective for detecting fraudulent transactions, because it can automatically detect clusters of normal behavior and highlight anomalies without needing detailed prior knowledge about the fraud patterns.💰🔍 Read this #KNIMEforFinance article: https://brnw.ch/21wLmmC
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#DBSCAN is effective for detecting fraudulent transactions, because it can automatically detect clusters of normal behavior and highlight anomalies without needing detailed prior knowledge about the fraud patterns.💰🔍 Read this #KNIMEforFinance article: https://brnw.ch/21wLmmC
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#DBSCAN is effective for detecting fraudulent transactions, because it can automatically detect clusters of normal behavior and highlight anomalies without needing detailed prior knowledge about the fraud patterns.💰🔍 Read this #KNIMEforFinance article: https://brnw.ch/21wLmmC
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With advanced tech, soccer clubs can track passes, angles, and ball speed, during matches. 👀 ⚽️ Can #ml algorithms distinguish a men's game from a women's game, and, if yes, what are the differences? Read on to find out more. https://brnw.ch/21wL0Qz
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#KNIME helped #Audi automate one of its most complex and important processes – supply chain management. Automating this single supply chain management workflow has resulted in a yearly saving of €30,000, eliminating manual work in Excel and Python, while also enabling immediate access to forecasts. 🚀 💥 Want to know more? Read this success story: https://brnw.ch/21wKY7t
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Navigating the complexities of evolving fraud patterns can be daunting, given the enormous volume of transactions. Read our blog post that examines #quantiles as a simple and effective method for identifying potential fraudulent activities. https://brnw.ch/21wKY38
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Overfitting, data leakage, and incorrect use of normalization are the 3 common #ml pitfalls when splitting a dataset. Read this blog by our guest writer, Dr. Carsten Lange, a professor of Economics at Cal Poly Pomona, to learn how to avoid these and more. https://brnw.ch/21wKVfP
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Did you know that you can build GenAI functionalities into your KNIME workflows to speed up basic tasks, build basic workflows, and facilitate quicker insights? Let's look at 7 common GenAI-related use cases using KNIME to enhance efficiency and cost-effectiveness. https://brnw.ch/21wKPEt
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Calling all high school students! Don't miss out on a chance to upskill in the world of data with KNIME's free virtual summer school this July. Join us from your own timezone in Europe or the US. Learn more: 📊👩💻🌐 https://brnw.ch/21wKHS2
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88% of organizations agree that open source is critical to innovation in data science and machine learning. Data science tools, like KNIME, that embrace openness as their core principle will always be among the first to integrate any innovation. From big data to autoML and now GenAI! Read this blog post for a dive deep into how open-source tools can sharpen your competitive edge. 🚀 💡https://brnw.ch/21wKGbo
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💳 In this #KNIMEforFinance credit card #frauddetection series, learn how to implement a fraud detection algorithm based on outlier detection techniques. Start with this Random Forest supervised learning algorithm to help identify fraudulent transactions: https://brnw.ch/21wKBH1
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💳 In this #KNIMEforFinance credit card #frauddetection series, learn how to implement a fraud detection algorithm based on outlier detection techniques. Start with this Random Forest supervised learning algorithm to help identify fraudulent transactions: https://brnw.ch/21wKBH1
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💳 In this #KNIMEforFinance credit card #frauddetection series, learn how to implement a fraud detection algorithm based on outlier detection techniques. Start with this Random Forest supervised learning algorithm to help identify fraudulent transactions: https://brnw.ch/21wKBH1
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💳 In this #KNIMEforFinance credit card #frauddetection series, learn how to implement a fraud detection algorithm based on outlier detection techniques. Start with this Random Forest supervised learning algorithm to help identify fraudulent transactions: https://brnw.ch/21wKBH1
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Na linha do que comentei no meu último toot, sempre fico pensando se deveria explorar produzir conteúdo sobre as ferramentas que uso no dia a dia. Eu sinceramente acho que a combinação entre #KNIME e Google #Sheets é fantástica, além disso, a possibilidade de jogar fragmentos de código em #R ou #Python (com ambientes devidamente configurados com o #Anaconda) facilita demais extração de dados.
Por exemplo, profissionalmente, eu mantenho múltiplos bancos de dados no #Notion. Consigo extrair informações deles usando código em Python no KNIME, fazer uma série de tratamentos e concluir carregando tudo no Google Sheets. Dali, o consumo é feito em planilhas com alguma dose de abstração (usando fórmulas) e, até mesmo, em um dashboard no Looker Studio.
Adicionalmente, o paradigma visual do KNIME ainda facilita documentar os processos, facilita a utilização por não-programadores e permite introduzir abstrações nas caixas de diálogo dos componentes, eliminando a necessidade de modificação dos fluxos de trabalho construídos.
Enfim, tudo muito sofisticado e a custo baixo (a maioria dos mortais pagaria apenas pelo Notion, o que significaria desembolsar cerca de 50 reais por mês).
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Custom #AI-powered chatbots can be tailored to your needs, equipped with specialized knowledge and real-time data for accurate responses, making them highly effective. Read our blog post on how to create one, using #KNIME's AI Extension: 🤖https://brnw.ch/21wJS1K
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Die Online-#Veranstaltungsreihe #dcifTalk unseres #Partnerverband #DeutschesCompetitiveIntelligenceForum (#dcif) e.V. geht in die nächste Runde.
#dcifTalk - #Prozessoptimierung mit #KNIME: Ein #SalesReport - Beispiel aus der Praxis mit Elisabeth Richter
Sie lernen die no-code/low-code #Software KNIME kennen und erfahren, wie Arbeitsabläufe mit KNIME vereinfacht, optimiert und automatisiert werden können.
Mi., 15.05.2024 - 16:30-17:30 Uhr
Infos und Anmeldung https://dcif.de/?veranstaltung=97413
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Die Online-#Veranstaltungsreihe #dcifTalk unseres #Partnerverband #DeutschesCompetitiveIntelligenceForum (#dcif) e.V. geht in die nächste Runde.
#dcifTalk - #Prozessoptimierung mit #KNIME: Ein #SalesReport - Beispiel aus der Praxis mit Elisabeth Richter
Sie lernen die no-code/low-code #Software KNIME kennen und erfahren, wie Arbeitsabläufe mit KNIME vereinfacht, optimiert und automatisiert werden können.
Mi., 15.05.2024 - 16:30-17:30 Uhr
Infos und Anmeldung https://dcif.de/?veranstaltung=97413
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Die Online-#Veranstaltungsreihe #dcifTalk unseres #Partnerverband #DeutschesCompetitiveIntelligenceForum (#dcif) e.V. geht in die nächste Runde.
#dcifTalk - #Prozessoptimierung mit #KNIME: Ein #SalesReport - Beispiel aus der Praxis mit Elisabeth Richter
Sie lernen die no-code/low-code #Software KNIME kennen und erfahren, wie Arbeitsabläufe mit KNIME vereinfacht, optimiert und automatisiert werden können.
Mi., 15.05.2024 - 16:30-17:30 Uhr
Infos und Anmeldung https://dcif.de/?veranstaltung=97413
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Die Online-#Veranstaltungsreihe #dcifTalk unseres #Partnerverband #DeutschesCompetitiveIntelligenceForum (#dcif) e.V. geht in die nächste Runde.
#dcifTalk - #Prozessoptimierung mit #KNIME: Ein #SalesReport - Beispiel aus der Praxis mit Elisabeth Richter
Sie lernen die no-code/low-code #Software KNIME kennen und erfahren, wie Arbeitsabläufe mit KNIME vereinfacht, optimiert und automatisiert werden können.
Mi., 15.05.2024 - 16:30-17:30 Uhr
Infos und Anmeldung https://dcif.de/?veranstaltung=97413
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Die Online-#Veranstaltungsreihe #dcifTalk unseres #Partnerverband #DeutschesCompetitiveIntelligenceForum (#dcif) e.V. geht in die nächste Runde.
#dcifTalk - #Prozessoptimierung mit #KNIME: Ein #SalesReport - Beispiel aus der Praxis mit Elisabeth Richter
Sie lernen die no-code/low-code #Software KNIME kennen und erfahren, wie Arbeitsabläufe mit KNIME vereinfacht, optimiert und automatisiert werden können.
Mi., 15.05.2024 - 16:30-17:30 Uhr
Infos und Anmeldung https://dcif.de/?veranstaltung=97413
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There's no denying that we're undergoing an #AI revolution powered by large language models (#LLMs). Read this blog to get an overview of four popular open source LLMs – Llama 2, Bloom, Claude 2, and Falcon. Find the key criteria to select the best fit for your use case and learn how you can apply them using the low-code data science tool, #KNIME Analytics Platform. https://brnw.ch/21wI4MQ
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Interested in learning about #datascience but worried your #statistics knowledge might not be enough? Good news: Your everyday use of statistics can get you started. Read more: https://brnw.ch/21wHPiZ
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Social media can impact #crisismanagement. During Hurricane Ian’s path to FL, there were 21 million tweets. 💬 How can analyzing tweets and their sentiment allow us to observe hurricane severity changes? See this #KNIME #geospatial #dataanalysis tutorial: https://brnw.ch/21wHGL8
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A technique like #contenttagging helps deliver a seamless website experience for visitors. Did you know that with the help of #AI and #LLMs, you can automate the process in just four steps? Read the latest #KNIME blog to learn how. https://brnw.ch/21wHEcg
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You know analyzing data is important, but did you know you can predict the future with that data? That’s the value of data science. Head to our blog and learn how you can get started with data science, why it’s important, and how easy it can be to learn.💡 https://bit.ly/3wOFBH6
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Thursday March 21 from 1800 to 2000 Knime and GIS session with Enrique Rodríguez (Datanauta). The location has not yet been decided. In case you want to reserve the date. Spread the word #knime
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Have you tried the KNIME Reporting Extension? It allows you to take multiple visualizations and quickly turn them into static PDF reports. 📊 Automatically generate static reports for all your recurring events, such as month-end close, quarterly performance, or on-demand statistics.📊✨ The cherry on top? No need to learn anything new! Check out our blog post for more info. https://brnw.ch/21wH6eO
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An AI-powered data app with a customized LLM can lead to numerous gains, including deeper accuracy of output, streamlined operations, and better customer experiences. Head to our blog and learn how you can craft trailed AI-powered data apps using KNIME. https://bit.ly/3OHKzM7
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An AI-powered data app with a customized LLM can lead to numerous gains, including deeper accuracy of output, streamlined operations, and better customer experiences. Head to our blog and learn how you can craft trailed AI-powered data apps using KNIME. https://bit.ly/3OHKzM7
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An AI-powered data app with a customized LLM can lead to numerous gains, including deeper accuracy of output, streamlined operations, and better customer experiences. Head to our blog and learn how you can craft trailed AI-powered data apps using KNIME. https://bit.ly/3OHKzM7
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An AI-powered data app with a customized LLM can lead to numerous gains, including deeper accuracy of output, streamlined operations, and better customer experiences. Head to our blog and learn how you can craft trailed AI-powered data apps using KNIME. https://bit.ly/3OHKzM7
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An AI-powered data app with a customized LLM can lead to numerous gains, including deeper accuracy of output, streamlined operations, and better customer experiences. Head to our blog and learn how you can craft trailed AI-powered data apps using KNIME. https://bit.ly/3OHKzM7
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Customer churn is an important KPI because it monitors the relationship between a company and its customers. Need to calculate your #customerchurn KPI automatically?
Check out this latest #KNIMEforFinance solution that will allow you to calculate and visualize the KPI values without manual editing, and share your analysis with your team through a browser-based data app link: https://bit.ly/3SOKrg8
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Customer churn is an important KPI because it monitors the relationship between a company and its customers. Need to calculate your #customerchurn KPI automatically?
Check out this latest #KNIMEforFinance solution that will allow you to calculate and visualize the KPI values without manual editing, and share your analysis with your team through a browser-based data app link: https://bit.ly/3SOKrg8
