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optimization

Tune Deep Neural Networks using Bayesian Optimization | by Nikos Kafritsas | Jun, 2022

Leverage Bayesian Theory to boost your performancePhoto by Syarafina Yusof on UnsplashIn a previous post, we presented a case study about Image Classification using Tensorflow and Deep Learning Methods.Although the case study was minimal, it showcased every stage of a machine learning project: Cleaning, preprocessing, model building, training, and evaluation. But we skipped tuning.In this article, we will delve a little deeper into hyperparameter optimization. Again, we will use the Fashion MNIST dataset, which is…

A Gentle Introduction to Optimization | by Julia Kho | Jun, 2022

What is optimization and how does it work behind the scenes?Photo by Ricardo Gomez Angel on UnsplashIn this article, you will learn the basics of optimization and gain an understanding of how optimization truly works behind the scenes. Through two example problems, I will illustrate how to build an easy optimization problem and show you how changes to the components of the problem may affect your… What is optimization and how does it work behind the scenes?Photo by Ricardo Gomez Angel on UnsplashIn this article, you…

Cloud Optimization in the Healthcare Sector

Let’s know that cloud optimization has been demonstrated in the healthcare sector. Technology adoption in healthcare has come a long way now, in terms of refining its data management processes, from traditional storage to digitalization of healthcare data. Healthcare institutions were looking towards digital transformation methods in order to stay afloat and provide the best possible patient-centered care. Hospitals and health systems have had little choice but to alter care delivery to meet the pandemic’s…

Dickey-Fuller Optimization: Tackle Time Series Cointegration Head-on | by Diego Barba | May, 2022

Never mind the maneuvers; minimize the Dickey-Fuller statistic directly to achieve a stationary time series. Full Python code.Image by author.There are many methods for finding cointegrating vectors. Some methods leverage OLS, others matrix eigendecomposition. Regardless of the method, it is customary to do a sanity check by performing a stationarity test on the resulting time series.The workflow goes something like this:find the cointegrating vector (the method of your choice)do a stationarity test on the time series…

Top 5 AI Use Cases for Supply Chain Optimization in 2022

A supply chain is like a web that connects all the business components such as manufacturing, procurement, logistics, sales, marketing, and so on. The recent global pandemic and other geopolitical disruptions demonstrated how weak supply chains could bring down whole organizations. Many companies are investing in digital solutions to optimize their supply chain operations. Artificial intelligence (AI) is a popular technology that is making every sector smarter and more resilient. The global supply chain AI market is…

Android tablets are finally getting better app and UI optimization

Android tablets have long languished behind the most successful product in the segment – the iPad. One of the most prominent reasons why Android tablets don’t stand a chance against iPads is because of the bad app optimization and UI elements. The devices are mostly blown-up versions of Android phones. But not anymore. Google is rethinking the UI and adding new features that will make Android tablets more competitive with their Apple counterpart. The Android tablet segment is reaching 270 million active users and…