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Analysis Tips and Tricks
By
Mo Data
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This Stash Followed By:
7 Steps of Data Exploration & Preparation - steps 1-3
The Bernard Marr column: Analyse this – how to predict trends in your industry
Crime Prediction - Predictive Modeling in Law Enforcement
The P value was never meant to be used the way it's used today.
The Geometry of Classifiers
Scotland’s vote likely to be a nail-biter - A Data-Driven Crystal Ball
Machine Unlearning: The Value of Imperfect Models #bigdata
Too much talk in Analytics & too little action! via Ajay Kellar
14 free data mining books #bigdata #machinelearning #free #free #free!
Map Reduce is great, but there are a few things it's just not good at - good post with some alternative approaches
Big Data Outliers: Friend or Foe? The presence of outliers may be a sign of serious data quality or maybe not
A Fundamental Lack of Understanding of What Predictive Analytics is and How it Creates Value
38 Seminal Articles Every Data Scientist Should Read
10 R packages I wish I knew about earlier
26 popular techniques for analysing Big Data
Even the Tiniest Error Can Cost a Company Millions
Business Linkage Analysis: An Overview
There are hundreds of types of regressions. Here is an overview. By Vincent Granville
The lifecycle of a data science project
Conjecture: Scalable Machine Learning in Hadoop with Scalding
Big data works best when small data analysis is its sidekick
Why Overfitting is More Dangerous than Just Poor Accuracy
It turns out that the only thing developers need to learn is how to index.
Breaking Bad, Mad Men, How I Met Your Mother or Game of Thrones - predicting ratings with big data
When thinking about the big data era, what are some statistical ideas we've already figured out?
The goal in data analysis is always good performance on future, unseen data.
A different strategy for detecting signals of election fraud is to look at the distribution of vote and turnout numbers
Basics of Machine Learning - condensed set of videos, nice
Spurious Correlations finds the hidden, totally pointless connections between everything
R Code Easy: speaks for itself
Everything you look for and all that you perceive has a way of proving whatever you believe: Data Science and Confirmation Bias
Five Data Mining Techniques That Help Create Business Value
The Journey from Raw Data Sets to High-Value Information for Decision Makers
The One Hidden Skill You Need to Unlock the Value of Your Data - the scientific method
A one-page survival guide for R
A Different Methodology for Big Data: Minimum Viable Insight
Big data applications do not replace traditional single-problem applications, but complement them - Big Data App Design
Vincent Granville is writing a book on Data Science... performance art
16 Reasons Data Scientists are Difficult to Manage - I found this sad and upsetting
Qualitative and quantitative methods let you treat a problem by linking symptoms to the root cause - UX folks wisdom on Big Data
Data is able to tell us what is possible if we understand how to formulate the right questions.
When data scientists are under pressure to produce results that favor their employer's or client's hypothesis...
Big Data – Lessons from Genetics and Bio-Statistics
Big Data is so last year. Machine learning may become the greatest topic in computer science for this century.
7 warning signs you're analyzing your data wrong - bother to read this if 'Big Data' is in your budget line
Silhouette Illusions - viewing information without enough cues. How we move from Big Data to Data with Depth.
I thought I was publishing an entertaining view of some data I’d extracted, but it was treated like a scientific study.
Data mining in a complex world - in the real world, objects are connected together but those objects belong to different types
