Probability can be used for more than calculating the likelihood of one event; it can summarize the likelihood of all…

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## Proving 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 Reading## Detecting 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 Reading## Monte 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 Reading## Random 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 Reading## 5 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 Reading## 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 Reading## Random 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 Reading## Understanding 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 Reading## Building 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 Reading## A 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 Reading## Seeding 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 Reading## Can 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 Reading## Probabilistic 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 Reading## Google 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 Reading## Real-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 Reading## How 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 =…

Continue Reading## Explaining Feature Importance by example of a Random Forest

Source: https://unsplash. com/photos/BPbIWva9BgoExplaining Feature Importance by example of a Random ForestEryk LewinsonBlockedUnblockFollowFollowingFeb 11In many (business) cases it is equally important to…

Continue Reading## The importance of context in data sets: A short experiment

The importance of context in data sets: A short experimentUsing four forecasting methods in the same time series to show…

Continue Reading## Statistics is the Grammar of Data Science — Part 4/5

Statistics is the Grammar of Data Science — Part 4/5Statistics refresher to kick start your Data Science journeySemi KoenBlockedUnblockFollowFollowingFeb 10This is the 4th article…

Continue Reading## How to label text for sentiment analysis — good practises

If you haven’t, here’s a great chance of discovering how hard the task is. I am sure that if you…

Continue Reading## Building an Experimentation Framework for Composite Algorithms

", false));For example, lets run different combination of supervised algorithms on the Ionosphere dataset (https://archive. ics. uci. edu/ml/datasets/Ionosphere!!)AdaBoostM1 / MultiBoostAB…

Continue Reading## Probability — Fundamentals of Machine Learning (Part 1)

By plugging this into the chain rule, we find that in this scenario we get P(x, y) = P(x|y) ⋅…

Continue Reading## How to produce meaningful datasets using only SQL

Now we have something we can use in multiple scenarios. Let the real fun begin!Random boolean valuesWith our new randomNumber function,…

Continue Reading## Everything You Need to Know About Decision Trees

Everything You Need to Know About Decision TreesIntro to decision trees, random forests, bagging, boosting, and the underlying theoryMarco PeixeiroBlockedUnblockFollowFollowingJan 16Photo…

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