Mathieu Torchiamathieutorchia.com·Oct 21, 2024The Cost of SimplificationNumbers are everywhere. Whether we hear them from U.S. presidential candidates, find them in articles during our searches, or see them in financial reports, they form a significant part of the information we consume. We live in an era where "Big Data...Discuss·10 likes·49 readsanscombe
Ahmad W Khanblog.ahmadwkhan.com·Oct 21, 2024The Science Behind AI's First Nobel PrizeThe 2024 Nobel Prize in Physics was awarded to John Hopfield and Geoffrey Hinton for their foundational work in bridging physics and artificial intelligence (AI). Their work on Hopfield Networks and Boltzmann Machines brought physics-driven insights ...Discuss·4 likesnobel prize
Rishirishi2220.hashnode.dev·Oct 19, 2024Prerequisites of Resource Management with Probabilistic Scheduling in the Context of Linux #010. Introduction & Prerequisites 0.1 Definition of Scheduling Scheduling in operating systems refers to the method by which processes are assigned CPU time and other resources. It plays a critical role in resource management by determining which proce...Discuss·82 readsLinux
Nalaka Wanniarachchinalaka.hashnode.dev·Oct 17, 2024Line Chart or Bar Chart? Saving You from Data Disaster!Hey there, data enthusiasts! Today, we're diving into a classic data visualization dilemma that's more common than you might think. Take a look at these two charts: Image Credit/Idea : Nicholas Lea-Trengrouse , Hamsini Sukumar,Inforiver Spot the pr...Discusspowerb
Baileymathsmusings.hashnode.dev·Oct 16, 2024Modelling MLB Team Performance: A State Space & Bayesian ApproachMajor League Baseball is the second richest sports league in the world, generating more than $11 billion in annual revenue. It also has boasts the highest fan attendance per season among all leagues. Given this financial scale, baseball analytics has...Discuss·35 readsstatespacemodelling
Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 13, 2024Understanding Covariance, Correlation, and Collinearity: A Comprehensive GuideIn the world of statistics and data analysis, understanding how different variables interact is crucial for building effective models. Three important concepts that help us analyze these relationships are covariance, correlation, and collinearity. In...Discusscollinearity
Dharshini Sankar Rajdharshinisankarraj.hashnode.dev·Oct 8, 2024Sampling on DatasetsOnce you’ve created a dataset, you want to explore the values inside. Exploring very large datasets can be difficult, as even simple operations can be expensive, both in terms of computational resources and time. The same sampling principle applies t...Discuss·1 likeData Science
Sai Prasanna Maharanasaimaharana.hashnode.dev·Oct 7, 2024What is AB Testing in terms of Machine Learning Model ? Explain it with a dataset?A/B testing in the context of machine learning models involves comparing two versions of a model (or model parameters) to determine which one performs better based on a specific metric. This is particularly useful in scenarios like recommending produ...DiscussData Preprocessingstatistics
Sai Prasanna Maharanasaimaharana.hashnode.dev·Oct 7, 2024What is clipping for outlier treatment?Clipping is a method used to handle outliers in data by limiting the range of values to within a specified minimum and maximum. This technique is straightforward and can be effective in preventing extreme values from skewing the results of data analy...DiscussData PreprocessingMachine Learning
Sai Prasanna Maharanasaimaharana.hashnode.dev·Oct 6, 2024What is Correlation, When will it arise, and how to handle it, Explain it with a dataset. Also, what is a Correlation matrix?Correlation is a statistical measure that expresses the extent to which two variables are linearly related. It’s a common tool for determining how closely two quantities move in relation to one another. The correlation coefficient ranges from -1 to +...DiscussData PreprocessingMachine Learning
