Suppose you fill two n×n matrices with random integers. What is the probability that the determinants of the two matrices…
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How to Develop a Random Forest Ensemble in Python
Random forest is an ensemble machine learning algorithm. It is perhaps the most popular and widely used machine learning algorithm…
Continue ReadingHow to Generate Random Numbers in Python?
The world is governed by chance. Randomness stalks us every day of our lives. …
Continue ReadingA Beginner’s Guide to Random Forest Hyperparameter Tuning
Introduction to Random Forest What’s the first image that comes to your mind when you think about Random Forest? It…
Continue ReadingBagging and Random Forest for Imbalanced Classification
Bagging is an ensemble algorithm that fits multiple models on different subsets of a training dataset, then combines the predictions…
Continue ReadingConvergence rate of random walk on integers mod p
There’s a theorem that says you need about p² steps. We’ll give the precise statement of the theorem shortly, but…
Continue ReadingA Gentle Introduction to Bayesian Belief Networks
Probabilistic models can define relationships between variables and be used to calculate probabilities. For example, fully conditional models may require…
Continue ReadingDiscrete Probability Distributions for Machine Learning
The probability for a discrete random variable can be summarized with a discrete probability distribution. Discrete probability distributions are used…
Continue ReadingA Gentle Introduction to Probability Distributions
Probability can be used for more than calculating the likelihood of one event; it can summarize the likelihood of all…
Continue ReadingProving that a choice was made in good faith
This is something I’ve helped companies with. It may be impossible to prove that a choice was not deliberate, but…
Continue ReadingDetecting a short period in an RNG
The last couple posts have been looking at the Cliff random number generator. I introduce the generator here and look…
Continue ReadingMonte Carlo Simulation in R with focus on Option Pricing
Monte Carlo Simulation in R with focus on Option PricingOjasvin SoodBlockedUnblockFollowFollowingJun 25In this blog, I will cover the basics of Monte…
Continue ReadingRandom Forest regression model Advanced Topics (+ Python code snippet using Sklearn)
Random Forest regression model Advanced Topics (+ Python code snippet using Sklearn)Georgios DrakosBlockedUnblockFollowFollowingJun 6In my previous article, I presented the Random…
Continue Reading5 Probability Distributions Every Data Scientist Should Know
Here’s your reward. Source: pixabay. Now that you know what a probability distribution is, let’s learn about some of the…
Continue ReadingProbability Distributions Every Data Scientist Should Know
Here’s your reward. Source: pixabay. Now that you know what a probability distribution is, let’s learn about some of the…
Continue ReadingRandom Forest Regression model explained in depth
Random Forest Regression model explained in depthGeorgios DrakosBlockedUnblockFollowFollowingJun 3In my previous article, I presented the Decision Tree Regressor algorithm. If you…
Continue ReadingUnderstanding Random Forest
Photo by Skitterphoto from PexelsUnderstanding Random ForestHow the Algorithm Works and Why it Is So EffectiveTony YiuBlockedUnblockFollowFollowingJun 12A big part of machine…
Continue ReadingBuilding Intuition for Random Forests
Building Intuition for Random ForestsRandom Forest — A group of decision trees — is a powerful machine learning algorithmRishi SidhuBlockedUnblockFollowFollowingMay 2Photo by Vladislav Babienko on UnsplashIt…
Continue ReadingA truly horrible random number generator
I needed a bad random number generator for an illustration, and chose RANDU, possibly the worst random number generator that…
Continue ReadingSeeding Viral Growth: An Application of Graph Embedding
Seeding Viral Growth: An Application of Graph EmbeddingSimulating different seeding techniques to maximize information diffusion in a networkShaw LuBlockedUnblockFollowFollowingApr 15Are Influencers…
Continue ReadingCan You Tell Random and Non-Random Apart?
We need some harder evidence. This is where this easy method I eluded to earlier comes into play. If you…
Continue ReadingProbabilistic Graphical Models: Bayesian Networks
The venue, cuisine, distance from home, pricing etc. In general, we can write a custom program to answer our query…
Continue ReadingGoogle Adiantum and the ChaCha RNG
The ChaCha cryptographic random number generator is in the news thanks to Google’s Adiantum project. I’ll discuss what’s going on,…
Continue ReadingReal-Time Streaming and Anomaly detection Pipeline on AWS
Real-Time Streaming and Anomaly detection Pipeline on AWSSharmistha ChatterjeeBlockedUnblockFollowFollowingFeb 25Streaming Data is data that is generated continuously by thousands of data…
Continue ReadingHow I Built a Simple Command Line App in Ruby with ActiveRecord
puts "SUCCESS" else puts "ERROR: EMPTY DATA" end else puts "ERROR: INVALID DATA" end rescue RestClient::ExceptionWithResponse => e err =…
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