Revelo.ai

Do you know about our Youtube channel❓ With the new year, fresh data science videos are underway! 🙌 And with them, new opportunities for exploring or taking first steps in #dataanalysis, visual programming and data exploration, basic #machinelearning algorithms, and mining data from external sources... with Orange Data Mining! 🍊   At the moment, we regularly update 2️⃣ playlists with concise, 5-min hands-on tutorials on Intro to #datascience (33 videos) and Text Mining (4 videos). 🍪 Over Christmas, we got great response to our special edition Cookie Mining video! 👉 https://lnkd.in/ddnmDUEY   🐾 In the Pumice Challenge Series (3 videos), you can get an insight into the practical activities we did in primary and secondary schools last year within the Surname Challenge that involved 1000 students, who were learning to use Orange by exploring Slovene surnames. 👉 https://lnkd.in/ddb6xufw   🎁 Most recently, we've added a Survival Analysis series (5 videos) that involves a giveaway! 👉 https://lnkd.in/dCTviz47   🍊 And we couldn't be happier to see that even after 8 years, our playlist Getting Started with Orange continues to grow in popularity! 👉 https://lnkd.in/diQ7KEVj   Explored any of these playlists yet? What would you like to see more of this year? We'd love to hear from you! 💯 For a regular dose of data science delights, subscribe to Orange Data Mining Youtube channel 🎥 🌐 👉 https://lnkd.in/dcNAHauU #ai #education

Analiza hitro rastočih podjetjih za obdobje 2018-2022 je pokazala, da kriterije za uvrstitev izpolnjuje 3.074 podjetij, kar je 26 % manj📉 kot leto prej. Zaposlovala so 46.918 delavcev in ustvarila 17,2 milijard evrov čistih prihodkov od prodaje ter šestino neto čistega dobička v državi. Največji številčni delež hitro rastočih podjetij je obdržala Koroška regija, sledita Jugovzhodna Slovenija in Primorsko-Notranjska regija. 👉https://bit.ly/3GfoIXM

🏔 ❓ Have you ever found yourself with a mountain of documents, articles, or social media posts, and a less than infinite amount of time 😅 , wishing there was a way to somehow extract meaningful insights from this sea of words? 🔍 🌊 For example, a company looking for information how the customers feel about its new product often receives a flood of feedback through surveys - but this feedback comes in the form of unstructured data. 🤷♂️ 🤦♀️ Or in a legal context, you might have a pile of contracts or legal documents, and for a particular case, you are interested in selecting only the crucial clauses and terms that apply in this specific situation. 🛎   In situations like this, text mining is like an efficient assistant that organizes your information and makes it easier to navigate. 👌 It can sift through the unstructured data, identifying common themes and concerns. In the case of customer feedback for example, rather than just recognizing positive and negative words, it can identify the nuances of customer emotions – sentiments like happiness, frustration, or dissatisfaction. 🙌   The second video in our free Text Mining YT video series shows you how to use Orange to find semantically related words. It covers 🍊 widgets for corpus creation, embedding text in vector spaces, and finding nearest neighbors using vector representation. You can watch the video here 👉 https://lnkd.in/dX4dxSju #AI #education #dataanalytics #datascience