# point

## Fixed points of the Cliff random number generator

I ran across the Cliff random number generator yesterday. Given a starting value x0 in the open interval (0, 1),…

## Rudimentary k-Nearest Neighbors

Rudimentary MLRudimentary k-Nearest NeighborsThe most intuitive ML modelJovan MedfordBlockedUnblockFollowFollowingMay 20Sometimes in data science you find yourself picking up a missile launcher…

## DBSCAN Algorithm: Complete Guide and Application with Python Scikit-Learn

Below are the 2 steps —Density at a point P: Number of points within a circle of Radius Eps (ϵ)…

## How to Tackle Your Next Regression Problem

Photo by Campaign Creators on UnsplashHow to Tackle Your Next Regression ProblemThe Key Ideas to Consider for Your Next Regression ModelTom…

## Using the ‘What-If Tool’ to investigate Machine Learning models

By Parul Pandey. In this era of explainable and interpretable Machine Learning, one merely cannot be content with simply training…

## Locally-Linear Embedding

Dimension ReductionLocally-Linear Embeddingin PythonDiogo RibeiroBlockedUnblockFollowFollowingMay 31Photo by Raul Cacho Oses on UnsplashLLE is a topology preserving manifold learning method. All manifold…

## Throwback to that time Microsoft actually did something cool

Like, just three points. These points could have simple 2D physics attached to them, like velocity and direction. The result…

## Layman’s Introduction to KNN

Layman’s Introduction to KNNk-nearest neighbour algorithm is where most people begin when starting with machine learning. Rishi SidhuBlockedUnblockFollowFollowingMay 20Photo by timJ…

## Regularization and Geometry

Regularization and GeometryMinh PhamBlockedUnblockFollowFollowingMay 11I. Bias-Variance TradeoffWhen we perform statistical modeling, the goal is not to select a model that fits…

## Machine Learning: Building Recommender Systems

K Nearest Neighbors:") for rank, index in enumerate(indices[0][:k], start=1): print(str(rank) + " ==>", X[index])Visualize the nearest neighbours:# Visualize the nearest…

## Unsupervised Learning Project: Creating Customer Segments

Unsupervised Learning Project: Creating Customer SegmentsLearn how to develop and end-to-end Clustering and Dimensionality Reduction Project!Victor RomanBlockedUnblockFollowFollowingApr 28IntroductionThroughout this project, we…

## Stealing Fuel Data

Stealing Fuel DataDave AllieBlockedUnblockFollowFollowingApr 19A little over a year ago, I discovered that the ACCC (Australian Competitor and Consumer Commission) reports…

## Sampling time series data sets

Sampling time series data setsDatylonBlockedUnblockFollowFollowingApr 17An SQL implementation of the ‘Largest Triangle Three Bucket’ algorithmby Peter Coppens, Co-Founder & CTO @…

## We are All Baby Shark (in Data Tracking)

It’s what you get if swimming and golf have a baby. To think how far these devices have come in…

## Overcoming challenges when designing a fraud detection system

Overcoming challenges when designing a fraud detection systemA word on how oversampling our data, and choosing the right model and…

## Gaussian Mixture Modelling (GMM)

in the first step which as it turns out is equivalent to the value we would get by minimising the…

## 5 Ways to Detect Outliers/Anomalies That Every Data Scientist Should Know (Python Code)

5 Ways to Detect Outliers/Anomalies That Every Data Scientist Should Know (Python Code)Detecting Anomalies is critical to any business either by…

## Demystifying Support Vector Machines

+ is 1. 5 and that is exactly the value of ζ in this case. Understanding CAs I mentioned above…

## Empower Eclipse’s Extension-points with Guice

Empower Eclipse’s Extension-points with GuiceHoracio Hoyos RodriguezBlockedUnblockFollowFollowingFeb 20Eclipse Equinox is an implementation of the OSGi core specification that allows Eclipse applications…

## Playing with Geometry/Spatial Data Types in MySQL

Playing with Geometry/Spatial Data Types in MySQLIn this tutorial, we are going to understand how to store and use spatial data…

I’ve written about elliptic curve and alluded to the fact that there’s a special kind of addition for points on the…

## ML Algorithms: One SD (σ)- Instance-based Algorithms

ML Algorithms: One SD (σ)- Instance-based AlgorithmsAn intro to machine learning instance-based algorithmsSagi ShaierBlockedUnblockFollowFollowingFeb 1TThe obvious questions to ask when…

## Understanding Machine Learning on Point Clouds through PointNet++

Understanding Machine Learning on Point Clouds through PointNet++Zachary SingerBlockedUnblockFollowFollowingJan 24IntroductionData can take on a variety of forms. For processing visual…

## Kepler and the contraction mapping theorem

We’ll make this statement more precise and give a historically important application.Definitions and theoremA function f on a metric space…

## Classify Songs Genres From Audio Data

PCA rotates the data along the axis of highest variance, thus allowing us to determine the relative contribution of each…