ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Jul 14, 2024Probability Distributions in Machine LearningProbability distributions play a vital role in the field of machine learning, providing the mathematical foundation for many algorithms and models. They help in understanding data, making predictions, and estimating uncertainty. In this blog, we will...Discuss·10 likesMachine LearningMachine Learning
Sammith S Bharadwajsammith.hashnode.dev·Jul 5, 2024TIL but from youtube: CVM algorithmIntroduction This time its stuff related to data streams and how to optimise it to ensure we can get an approximation of number of distinct elements. So the video talks about the paper https://arxiv.org/abs/2301.10191. I did try to read it, some of i...DiscussPython
Arbash Hussaincckeh.hashnode.dev·Jun 24, 2024A Step-by-Step Guide to Naive Bayes in Machine LearningIntroduction Welcome back, everyone, to this 4th blog post in our Machine Learning Algorithms Series! Today, we are diving into the Naive Bayes algorithm, a fundamental tool in the machine learning toolkit. In this blog, we will implement the Naive B...Discuss·104 readsMachine Learningnaivebayes
Fatima Jannatmahia.hashnode.dev·Jun 17, 2024Probability & Statistics for Machine Learning & Data ScienceLesson 1 - Introduction to Probability Probability is the likelihood of an event occurring. Let's get into it. Let's say, In a school there are 10 kids where 3 kids plays football and 7 kids don't play football. What will be the probability of pickin...DiscussProbability & Statistics for Machine Learning & Data ScienceML
Sunghoon Kimssuhoon.hashnode.dev·Jun 16, 2024확률론 기초딥러닝에서 확률론이 왜 필요한가요? 기계학습에서 사용되는 손실함수(loss function)들의 작동 원리는 데이터 공간을 통계적으로 해석해서 유도하게 된다. 회귀 분석에서 손심함수로 사용되는 $L_2$ 노름은 예측오차의 분산을 가장 최소화하는 방향으로 학습을 유도한다. 분류 문제에서 사용되는 교차엔트로피(cross-entropy)는 모델 예측의 불확실성을 최소화하는 방향으로 학습을 유도한다. 즉, 분산 및 불확실성을 최소화하기 위해서는...Discuss인공지능 기초Mathematics
lokesh bapteforlokesh bapte's team bloglokeshml-1717668845960.hashnode.dev·Jun 6, 2024Naive Bayes Classifier in Machine LearningNaive Bayes is a supervised learning algorithm used for clasification as well as regression tasks this algorithm is based on bayes’s theorem and the conditional probabiltiy. It is used in application like spam filtering,sentimental analysis,text clas...DiscussData Science
Simon Crowesimoncrowe.hashnode.dev·May 26, 2024How Python Proved Me Wrong About Video PokerThis is my first post. It is 50% an anecdote about an experience that inspired me to start this blog, and 50% a showcase of how a domain can be modelled using a few lines of Python. I was recently staying at a hotel situated above a casino. Curiosity...Discuss·50 readsPython
Md Faizan Alamsololearner.hashnode.dev·Apr 21, 202412 Factor AppImagine your app growing wildly popular — millions of users! But it crashes every time new users join. Not ideal, right? That’s where scalability comes in — building software that handles growth gracefully. Now, maintaining a complex app can feel lik...Discuss·10 likes12 Factor App
__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·130 reads#ArchitectureComparison
