Neeraj SujanforNeeraj Sujan's Blogdevcorner.hashnode.net·Jan 23, 2023Foundations of ProbabilityI always dreaded mathematics in school, but I always believed if you have good teachers, a dull subject like mathematics could also be made interesting. In this blog post, I will cover some basic concepts of probability and make it as interesting as ...Discuss·13 likes·47 readsMachine Learningprobability
NiravforNirav's blogsrkds.hashnode.net·Feb 1, 2023Fundas of ProbabilityHi there, I'm writing this blog because probability is a part of my master's syllabus so, I wanna share my learnings here. Note: $$3x + 2a = 5^2$$ ❌don't follow this approach, like writing raw math equeations ✅ Instead use words,sentences, clarity, ...Discuss·11 likes·39 readsProbability & Statisticsprobability
Dmitry RonzhinforDmitry Ronzhinronzhin.hashnode.net·Dec 17, 2022Randomness and choiceFrankly, I am not very good at probability theory (yeah, I did not learn as well as I should have been). But this science is so deep and beautiful and helps in a lot of tasks (algorithmic tasks too!) that couldn't have been solved otherwise, it is wo...Discuss·10 likes·61 readsmonty-hall
Smart ShockforSmartShocksmartshock.hashnode.net·Apr 10, 2023Using Python to Solve Binomial and Poisson DistributionsIntroduction Probability theory is an important branch of mathematics that deals with the study of random events and their outcomes. Two common probability distributions are the binomial distribution and the Poisson distribution, which are widely use...DiscussThe Essential Probability Concepts for Data Scientistsprobability
Smart ShockforSmartShocksmartshock.hashnode.net·Apr 10, 2023Discrete Probability DistributionsIntroduction Probability is an essential part of statistics, and probability distributions are a powerful tool in data analysis. Probability distributions describe the likelihood of different outcomes in a random event. Discrete probability distribut...DiscussThe Essential Probability Concepts for Data Scientistsprobability
Smart ShockforSmartShocksmartshock.hashnode.net·Apr 10, 2023Introduction to ProbabilityIntroduction Do you want to become a master of data science? Then you need to start with the basics of probability theory. Probability is the foundation of many statistical and machine learning techniques that data scientists use every day. In this a...Discuss·26 readsThe Essential Probability Concepts for Data ScientistsData Science
Sayeem Been Zamanforsayeemzzzaman.hashnode.net·Mar 24, 2023Probability & Statistics (Final)Discuss·1 like·49 readsUIU
Sayeem Been Zamanforsayeemzzzaman.hashnode.net·Mar 24, 2023Probability & Statistics (MID)Discuss·37 readsstatistics
NiravforNirav's blogsrkds.hashnode.net·Feb 1, 2023Fundas of ProbabilityHi there, I'm writing this blog because probability is a part of my master's syllabus so, I wanna share my learnings here. Note: $$3x + 2a = 5^2$$ ❌don't follow this approach, like writing raw math equeations ✅ Instead use words,sentences, clarity, ...Discuss·11 likes·39 readsProbability & Statisticsprobability
Neeraj SujanforNeeraj Sujan's Blogdevcorner.hashnode.net·Jan 23, 2023Foundations of ProbabilityI always dreaded mathematics in school, but I always believed if you have good teachers, a dull subject like mathematics could also be made interesting. In this blog post, I will cover some basic concepts of probability and make it as interesting as ...Discuss·13 likes·47 readsMachine Learningprobability
Bella EkeforBella Eke Demystifying Datascience,ML,AIbellaeke.hashnode.net·Jan 22, 2023Introduction to Probability and StatisticsThis week we will skill up on Probability and Statistics, an essential skill set for data science. While Probability is used for the prediction of future events, statistics is used for the analysis of past events. The practical knowledge and skills g...Discuss·2 likesprobability
Mathias Winther Madsenfortoday I learnedtodayilearned.hashnode.net·Dec 30, 2022Parameter Estimation for the Multivariate t DistributionThe t distribution has long tails and is therefore robust against outliers. If we can fit a multivariate t distribution to a data set of input-output pairs, we can therefore perform outlier-robust linear regression. This post provides code that does ...Discuss·35 readsprobability
Mathias Winther Madsenfortoday I learnedtodayilearned.hashnode.net·Dec 29, 2022Sufficient Statistics for the Multivariate GaussianThis article presents some Python code for computing the log-likelihood of a sample under a multivariate Gaussian distribution, along with the formulas used to justify the method of computation. The One-Dimensional Case The likelihood of a data set u...Discuss·78 readsgaussian
