Here I list my most interesting contributions published on Data Science Central. My plan is to categorize and aggregate this content to produce a few self-published books. The material below will always be available for free (from this webpage), but the books won't, or if they are, they will be free for members only. So you might want to bookmark this page.
I also have written a number of academic papers, you can find some of them here.
My home office, where I write most of my DSC articles
The articles below are listed in reverse chronological order. This is a work in progress: I am still adding older entries. So check back again in a few weeks!
1. Core Articles
- Advanced Machine Learning with Basic Excel
- State-of-the-Art Machine Learning Automation with HDT
- Tutorial: Neutralizing Outliers in Any Dimension
- The Fundamental Statistics Theorem Revisited
- Designing better algorithms: 5 case studies
- Life Cycle of Data Science Projects
- 40 Techniques Used by Data Scientists
- Variance, Clustering, and Density Estimation Revisited
- Biased vs Unbiased: Debunking Statistical Myths
- The Death of the Statistical Tests of Hypotheses
- 4 Easy Steps to Structure Highly Unstructured Big Data, via Automat...
- Architecture of Data Science Projects
- 24 Uses of Statistical Modeling (Part II) | (Part I)
- The ABCD's of Business Optimization
- What you won't learn in stats classes
- 21 data science systems used by Amazon to operate its business
- The best kept secret about linear and logistic regression
2. Blog Posts About Data Science
- How to Solve the New $1 Million Kaggle Problem - Home Value Estimates
- Which classifier has the best performance?
- Introduction to Principal Component Analysis
- Detecting Fake News, Fake Reviews, Fake Accounts, Fake Pictures
- How and Why: Decorrelate Time Series
- Distribution of Arrival Times of Extreme Events
- 10 Data Science, Machine Learning and IoT Predictions for 2017
- Modern Computational Advertising on Social Networks: The Basics
- Massive Internet Attack Floods the World with Fake Data
- Building an Algorithm to Break Strong Encryption
- Why so many Machine Learning Implementations Fail?
- MIT Algorithm Predicts Rogue Waves in Real Time to Save Lives
- What statisticians think about data scientists
- Why Zipf's law explains so many big data and physics phenomenons
- 22 tips for better data science
3. Other Blog Posts
- Yet Another Interesting Math Problem - The Collatz Conjecture
- The Future of Scientific Publishing
- Simple Proof of the Prime Number Theorem
- Seasons in Binary Star Planetary Systems
- Factoring Massive Numbers: Machine Learning Approach
- 88 percent of all integers have a factor under 100
- Math Challenge: Computing the Average Rotational Speed of Earth
- There Are Lies, Damn Lies, And Journalism
- Representation of Numbers as Infinite Products
- A Beautiful Probability Theorem
- Mars Craters: An Interesting Stochastic Geometry Problem
- The art and (data) science of leveraging economic bubbles
- Data Scientist Breaks State Monopoly on Lotteries
- Which jobs will AI (Artificial Intelligence) kill?
4. Guides and References
- Difference between Machine Learning, Data Science, AI, Deep Learnin...
- Data Science Cheat Sheet
- Data Science 2.0. (About automated data science; in progress)
- Developing Analytic Talent - Becoming a Data Scientist. Wiley, 2014.
- 8 Deep Data Science Articles
- Hitchhiker's Guide to Data Science, Machine Learning, R, Python
- Deep Learning: Definition, Resources, Comparison with Machine Learning
- What is Data Science? 24 Fundamental Articles Answering This Question
- Answers to dozens of data science job interview questions
- 15 Most Controversial Data Science Articles
- Challenges of the week
- Fascinating Facts and Conjectures about Primes and Other Special Nu...
- Three Original Math and Proba Challenges, with Tutorial
5. Repositories
- 14 Timeless Reference Books
- 20 Big Data Repositories You Should Check Out
- A Plethora of Data Set Repositories
- Four Great Pictures Illustrating Machine Learning Concepts
- 15 Deep Learning Tutorials
- 11 Great Hadoop, Spark and Map-Reduce Articles
- 16 Great IoT Articles Published in 2016
- 24 Core Articles About Data Science
- 14 Great Articles and Tutorials on Clustering
- 13 Great Articles and Tutorials about Correlation
- 26 Great Articles and Tutorials about Regression Analysis
- 10 Articles and Tutorials about Outliers
- 21 Great Articles and Tutorials on Time Series
- 15 Amazing Infographics and Other Visual Tutorials
- Misuses of Statistics: Examples and Solutions
- 20 Cheat Sheets: Python, ML, Data Science, R, and More
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