# Wong Cheung Lun William

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### Bayesian inference - an interactive visualization

About the visualization<p>The <b>prior</b> on the effect is a scaled unit-information prior. The black, and red circle on the curves represents the likelihood …

### No, I don’t believe that “Reduction in Firearm Injuries during NRA Annual Conventions” story

David Palmer writes:If you need yet another study to look at, check this out: “Reduction in Firearm Injuries during NRA Annual Conventions.”<<1% of …

### Python Plotting With Matplotlib (Guide)

A picture says a thousand words, and with Python’s <b>matplotlib</b> library, it fortunately takes far less than a thousand words of code to create a …

### R Decision Trees - A Tutorial to Tree Based Modeling in R

What is R Decision Trees?One of the most intuitive and popular methods of data mining that provides explicit rules for classification and copes well …

### Neural network AI is simple. So… Stop pretending you are a genius

This post may come off as a rant, but that’s not so much its intent, as it is to point out why we went from having very few AI experts, to having so …

### What data visualisation has taught me so far

Since I dived into data visualisation I’ve learned so much that sometimes it’s difficult to explain every little detail. So I thought I’d start by …

### Forecasting: Principles and Practice

Preface<p>Welcome to our online textbook on forecasting.<p>This textbook is intended to provide a comprehensive introduction to forecasting methods and to …

### The 10 Statistical Techniques Data Scientists Need to Master

This was a basic run-down of some basic statistical techniques that can help a data science program manager and or executive have a better …

### Square pie chart beats out the rest in perception study

Many hate pie charts. Others love them. I think they’re useful but have limitations. Most of these are just feelings though, maybe accompanied by an …

### Data visualization: basic principles

Why visualize data? It is a good way to communicate complex information, because we are highly visual animals, evolved to spot patterns and make …

### Looking beyond accuracy to improve trust in machine learning

Traditional machine learning workflows focus heavily on model training and optimization; the best model is usually chosen via performance measures …

### 3 Types of Data Visualizations

I was talking recently to Steve Wexler about the spectrum of data visualization; from data art to infographic to dashboard. This topic has always …

### At the Far Ends of a New Universal Law

A potent theory has emerged explaining a mysterious statistical law that arises throughout physics and mathematics.<p>Imagine an archipelago where each …

Mathematics### How to apply Linear Regression in R

(This article was first published on <b> R Programming – DataScience+</b>, and kindly contributed to R-bloggers)Machine Learning and RegressionMachine …

### Introduction to Principal Component Analysis

This formula-free summary provides a short overview about how PCA (principal component analysis) works for dimension reduction, that is, to select <i>k</i> …

### Introduction To Neural Networks

<i>This tutorial was originally posted here on Ben's blog, GormAnalysis.</i>Artificial Neural Networks are all the rage. One has to wonder if the catchy …

Deep Learning### Should Probabilistic Inference be Thrown Under the Bus?

You never change things by fighting against the existing reality. To change something, build a new model that makes the old model obsolete. …

### Create editable Microsoft Office charts from R

R has a rich and infinitely flexible graphics system, and you can easily embed R graphics into Microsoft Office documents like PowerPoint or Word. …

### colourpicker package v1.0: You can now select semi-transparent colours in R ( more!)

(This article was first published on <b>Dean Attali's R Blog</b>, and kindly contributed to R-bloggers)<p>For those who aren’t familiar with the colourpicker …

### 24 Uses of Statistical Modeling (Part I)

Here we discuss general applications of statistical models, whether they arise from data science, operations research, engineering, machine learning …

### A Wikipedia For Data Visualizations Is Here

The Data Viz Project has more than 150 types of visualizations.<p>You have one dataset, and countless ways to visualize it. Bar chart? Tree graph? The dreadful pie chart?<p>Now all your options are in one beautifully designed location: the Data Viz Project, which has more than 150 types of data …

### Top 15 Evaluation Metrics for Classification Models

<i>Computing just the accuracy score for a classification model gives an incomplete picture of your model’s performance. The following 15 evaluation</i> …

### Meet The 7 Deadly Sins of Statistical Misinterpretation - And How to Avoid Them

Correlation doesn't equal causation.<p>Statistics is a useful tool for understanding the patterns in the world around us. But our intuition often lets …

### R for Big Data in One Picture

This picture originally posted here covers the following topics:• Basic stack<br>• Integrated platforms<br>• Visualization<br>• Data formats<br>• Large & out-of-memory …

### Machine Learning vs. Statistics: The Texas Death Match of Data Science

<b>By Tom Fawcett & Drew Hardin, Silicon Valley Data Science.</b><p>Throughout its history, Machine Learning (ML) has coexisted with Statistics uneasily, like …

### An error made in 1925 led to a crisis in modern science—now researchers are joining to fix it

In 1908, the Guinness brewer William Gosset published a revolutionary paper titled “The Probable Error of the Mean.” Gosset, who published under the pseudonym “Student” at his employer’s request, often conducted experiments on the impact of new ingredients on the composition of his beer—such as the …

Southern California### Data Science Simplified Part 4: Simple Linear Regression Models

In the previous posts of this series, we discussed the concepts of statistical learning and hypothesis testing. In this article, we dive into linear …

### Big names in statistics want to shake up much-maligned P value

One of scientists’ favourite statistics — the P value — should face tougher standards, say leading researchers.<p>Science is in the throes of a …