__CPP__Try_Hard__niranjan2004.hashnode.dev·Apr 4, 2024All you need is this Example to understand Random ProcessesRandom Process In this post I'll try to convince you that I am not insane for my enthusiasm for the idea of random process ( even though I was introduced to the idea today ) since this is modelling of data blew my mind on how visually rich it was. Th...DiscussMathematics
SWATHI PUNREDDYswathireddy.hashnode.dev·Feb 24, 2024Diving into Docker: Exploring Architecture and Why It Excels Beyond Virtualization - Day 16In the realm of modern software development and deployment, Docker has emerged as a transformative tool, revolutionizing the way we build, ship, and run applications. But what exactly is Docker, and how does it differ from traditional virtualization?...Discuss·10 likes·126 reads#ArchitectureComparison
Suraj Karkisavvysuraj.hashnode.dev·Feb 17, 2024Anomaly Detection Using Probabilistic and Dimension-Based ModelsBefore I start, let's have some motivation: "Great things happen to those who don't stop believing, trying, learning, and being grateful." Roy T. Bennett This is the second lesson of the Anomaly Detection lecture series. In this lesson, you going...Discuss·1 likeAnomaly DetectionPythonMathematics
Jay Pateljayinsights.hashnode.dev·Feb 14, 2024Foundations of Data Science and AI/ML: Building Blocks for SuccessIntroduction: Welcome to the world of Data Science and AI/ML! You can call these fields as the backbone of modern innovation, as they are beating the path for new achievements across different fields, such as healthcare, finances and so on. Through t...Discuss·14 likes·83 readsData Science
Suraj Karkisavvysuraj.hashnode.dev·Feb 6, 2024Intro to Anomaly DetectionBefore I start, let's have some motivation: "People worry that computers will get too smart and take over the world, but the real problem is that they're too stupid and they've already taken over the world." Pedro Domingos As you know, these days...Discuss·1 like·34 readsAnomaly DetectionMachine Learning
Kaan Berke UGURLARkaanberke.hashnode.dev·Nov 6, 2023The Ups and Downs of Probability Distributions in Deep LearningProbability distributions are a key component of many deep learning systems. By understanding the advantages and disadvantages of using probability distributions, we can build more effective models. In this post, I'll explore when probability distrib...Discuss·119 readsprobability
Mithilesh Gaikwadesymith.hashnode.dev·Oct 28, 2023Creating Strong and Versatile Passwords with C ProgrammingIn an era dominated by digital interactions, safeguarding your online presence is a top priority. A crucial aspect of online security revolves around creating robust, unique passwords for your various accounts. Password generators, a valuable tool in...Discuss·11 likes·222 readspasswords
Aayush Shahaaaaayushh.hashnode.dev·Oct 8, 2023Bloom Filters - What, How and WhereWhat is it? The textbook definition of a bloom filter doesn't tell us much - A bloom filter is a space-efficient probabilistic data structure. But what does this mean? Instead of discussing a bloom filter's definition, it's more helpful to consider t...Discuss·20 likes·29 readsbloom filter
Kashikashibaipatil.hashnode.dev·Sep 10, 2023The Building Blocks of Probability: Discrete and Continuous DistributionsProbability distribution function A probability distribution function (PDF) is a mathematical function that describes the likelihood of various outcomes or events in a random experiment or process. In simple terms, all possible values a random variab...Discussprobability
Haocheng Linhaochengcodedev.hashnode.dev·Aug 13, 2023[Statistics 1 🔢] Probabilities🌟Key Terms Independent $$x_i, x_j$$Two variables are independent when a joint distribution could be expressed as a product between two marginal distributions. $$P(x_i, x_j) = P(x_i)P(x_j)$$Bayes Theorem Bayes Theorem or Bayern Munich? 🤔 The probab...Discussstatistics
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