Pearson VUE’s Post

In order for history students to be truly engaged, we need to help them see the relevance of events in the past using an inquiry-based approach. Learn how by preordering "Teaching Beyond the Timeline." Use promo code TIMELINE20 at the link to receive 20% off the web price and free shipping when you preorder before April 16, 2024: http://spr.ly/6042ZFzyj

Did you ever make cue cards when revising for your exams? We know we did. Loads of hand-written hints for every subject. Despite award winning systems (a different-coloured pen for each topic and the like 😉), the cards took ages to make, regularly got lost, and it’d be hard to know what to focus on and when 🫤 AI-flashcard builder, Luna would’ve been a total game-changer 👇 - **Save time** - Convert content into flashcards in seconds - **Stay organised** - Create colour-coded collections for each subject - **Prioritise** - Luna works out your optimum review schedule so you’re always focusing on the right stuff at the right time Meet Luna 👇 https://lnkd.in/dGy55EUQ

Are you interested in learning how to do style transfer how you can effect a style of an image based on a reference style using IPAdapter like the example below Wait!! for the blog we are working on ☺️ stay tuned for more such insightful techniques and workflow using open source stable diffusion models

Well, seeing as I spent the last 20 minutes cleaning out my personal email from all the junk that accumulated in the last 3 days, I'm on to talk about #NIR and this monster secret project I can't talk about. I noticed in this project that after you pile so many samples into a database, the LOCAL algorithm comes close to collapsing to be the same as KNNR with N=100 or so. The PLS step doesn't add that much more. Interesting. You know, the more I think about it, KNN is a much better pedagogical approach to NIR than Beer's law. One is how things look in real life and the other is ideal dilute solutions. If you don't know what KNN is, it's the duck test. If it looks like a duck and quacks like a duck and swims like a duck, it's probably a duck. So you can assign concentrations based on what a sample spectrum looks like. You match it up against the examples you already have. There are all sorts of tricks on preprocessing and selecting wavelengths and how you weigh distances or calculate them and group size and so on for you to show your artistry. But pretty much it's the same as any matching game you started playing when you were in preschool. It works surprisingly well and is a great start for the next thing you want to do after that. It will change your mind if, instead of looking for dilute, almost not there things, you look at the world trying to find ducks. And Jeep drivers already do it. (Jeep drivers know what I mean) #NIR isn't as much about finding linearity as it is matching what nature does.

🌟 Exciting News! 🌟 Just published a new blog post on choreographic programming and out-of-order processes. This paper introduces a model that guarantees absence of communication integrity violations and deadlocks in choreographic programming. Check out the full details and insightful evaluation of the API here: https://bit.ly/3vRVWug

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I really enjoyed this short course! The examples and projects were great and the course structure and content definitely meet the high Uplimit (Formerly CoRise) standards!! 🥳🐍 https://lnkd.in/eDtWT-Kw

🎉 Day 108 of the CP Challenge! 🚀💡 Today, on Day 108 of our 150-day CP challenge, let's tackle the fascinating problem "Journey Planning"! 🛠️ Approach: 1️⃣ We iterate through the list of cities, each with its beauty value. 2️⃣ We use a hash map (or dictionary) to group cities based on the difference between the city's index and its beauty value. 3️⃣ For each group, we accumulate the beauty values and keep track of the maximum accumulated value. 4️⃣ Finally, we output the highest beauty value sum found. Link to the problem is in the comment section mentioned below ⬇ #Competitiveprogramming #Coding #Consistency #Motivation #Cfbr

Personality Quiz i made using kokology, info gathered will be used to create a eda. If you hit the play button at the top and scroll to the bottom it will ask you some visualizations questions and it will tell you something about yourself based on your answers. Check it out if interested https://lnkd.in/e-q-wyXi

New DEMO! Will Be Dreaming is available on itch! Play as a narcoleptic whose nightmares are plagued by mistakes of his past. While you're awake, search through your computer to piece together what happened and discover information that will help you in your nightmares. While you're asleep, complete puzzles as you traverse through the levels of your consciousness. Note: THIS IS A DEMO! Not all of the mechanics/puzzles are implemented. This was created as a proof of concept for our Senior Project Development course. Made in collaboration with Tyler Zhang, Wilby Pham, and Cecelia Powell. https://lnkd.in/egp8atCT