Predicting

Image via Marvel Happy Sunday, superhero prognosticators, it’s time for another Marvel news roundup. With this weekend being relatively quiet for MCU updates, fans have decided to use their Time Stones to predict the future. And they’ve come to the conclusion that the grand finale of the Multiverse Saga may actually end up being a big disappointment, as well as pondering whether Wolverine’s long-awaited return will finally deliver something we’ve been dreaming of seeing in live-action for over two decades now.…

Feather Reef, in the central part of the Great Barrier Reef that is frequently exposed to damaging waves from cyclones—with a 10% chance of exposure in any given year under the current climate. Credit: Dr. Marji Puotinen. Climate models are unreliable when it comes to predicting the damage that tropical cyclones will do to sensitive coral reefs, according to a study published in the journal Earth's Future.…

Implementing logistic regression to predict price elasticity of demandPhoto by Campaign Creators on UnsplashIn this series, we are learning the STP Framework (Segmentation, Targeting, and Marketing), one of the most popular marketing approaches. In the first three posts (part 1, part 2, and part 3), we’ve learned to understand our customers using segmentation and divided our customer base into four segments based on their demographics, psychographics, and behavioral characteristics. That was covered in the first major…

Crypto investors are always on the hunt for new profit time bombs, but finding that one project that will skyrocket in value and multiply the zeroes in your bank account is anything but easy. Last year, we saw some spectacular gains from cryptos like Solana (10,000%), Terra LUNA (12,000%), and Shiba Inu (40,000,000%). But which is the next project set for stardom? According to analysts, it could be Tamadoge – one of the hottest meme coins on the market. Let’s check out all the details of this project and see exactly why…

Using Visualizations and Tree-Base Models to Analyze and Predict OutcomesImage by Pixabay on PexelsMany of the causes of healthcare worker attrition are related to the stressful nature of the healthcare work industry. Many employees work long hours and often experience high burnout. Employee attrition in healthcare is an issue because it exacerbates the issue of the limited supply of workers in the space. Since the healthcare space is significantly understaffed and many healthcare employees are overworked, the quality of…

Using image classification to predict impending process failuresPhoto by JJ Ying on UnsplashIntroductionThis article demonstrates use of CNN’s (Convolution Neural Networks) to predict an impending process failure in a paper machine using a real world dataset.This is done by arranging data samples representing several consecutive time-slices into an image that is a snapshot of the past and current state. If conditions prior to a failure are different from normal operation, then images of the condition can warn of an…

Image: Marvel Studios Avengers: Endgame saw Tony Stark/Iron Man making the greatest sacrifice to defeat Thanos and save the day, and now fans are dying to learn who, if anyone, could do the same in Avengers: Secret Wars. Saving the biggest dramatic moment for Tony Stark felt right considering he kickstarted the universe with 2008’s Iron Man, but with Secret Wars set to wrap up the Multiverse Saga, fans have strong opinions on who might take his place. There’s one obvious pick considering the multiversal nature…

Implementing logistic regression to predict price elasticity of demandPhoto by Artem Beliaikin on UnsplashIn this series, we are learning the STP Framework (Segmentation, Targeting, and Marketing), one of the most popular marketing approaches. In the first three posts, we’ve learned to understand our customers using segmentation and divided our customer base into four segments based on their demographics, psychographics, and behavioral characteristics. That covers the first step of the STP Framework.Our four segments of…

Belief networks and development of interdependence over measurements. Credit: Jonas Dalege and Tamara van der Does A new kind of predictive network model could help determine which people will change their minds about contentious scientific issues when presented with evidence-based information. …

Human decision-making can also cause models and reality to misalign. “People don’t necessarily always do what is, on paper, the most economic,” says Robbie Orvis, who leads the energy policy solutions program at Energy Innovation. This is a common issue for consumer tax credits, like those for electric vehicles or home energy efficiency upgrades. Often people don’t have the information or funds needed to take advantage of tax credits. Likewise, there are no assurances that credits in the power sectors will have the…