Written exclusively for Data Science Central, by Vincent Granville. These articles are intended for non-experts, written in simple English, and particularly suited for professionals managing a data science team, or for practitioners interested in the field of data science and machine learning. These articles (and more) will soon be combined in several booklets available exclusively for DSC members. Another list, featuring Bill Vorhies's articles, will soon be published.

**44 Original Data Science and Machine Learning Articles**

- Data Science and Machine Learning Without Mathematics
- Advanced Machine Learning with Basic Excel
- State-of-the-Art Machine Learning Automation
- Tutorial: Neutralizing Outliers in Any Dimension
- The Fundamental Statistics Theorem Revisited
- The Death of the Statistical Tests of Hypotheses
- 4 Easy Steps to Structure Highly Unstructured Big Data
- The best kept secret about linear and logistic regression
- Difference between Machine Learning, Data Science, AI, Deep Learnin...
- 21 data science systems used by Amazon to operate its business
- 40 Techniques Used by Data Scientists
- Designing better algorithms: 5 case studies
- 24 Uses of Statistical Modeling (Part II) | (Part I)
- What you won't learn in stats classes
- Biased vs Unbiased: Debunking Statistical Myths
- Stochastic Processes and New Tests of Randomness
- A Simple Introduction to Complex Stochastic Processes
- High Precision Computing: Benchmark, Examples, and Tutorial
- Logistic Map, Chaos, Randomness and Quantum Algorithms
- Graph Theory: Six Degrees of Separation Problem
- Interesting Problem for Serious Geeks: Self-correcting Random Walks
- 9 Off-the-beaten-path Statistical Science Topics with Interesting A...
- Nice Generalization of the K-NN Clustering Algorithm - Also Useful for Data Reduction
- How to Detect if Numbers are Random or Not
- Which classifier has the best performance?
- Introduction to Principal Component Analysis
- Distribution of Arrival Times of Extreme Events
- Why Zipf's law explains so many big data and physics phenomenons
- Coefficient of Correlation for Non-Linear Relationships
- Preventing Cambridge Analytica and Others to Hack into Facebook Data
- 22 tips for better data science
- Machine Learning Algorithm to Trade Bitcoin
- 10 Data Science, Machine Learning and IoT Predictions for 2017
- Modern Computational Advertising on Social Networks: The Basics
- Why so many Machine Learning Implementations Fail?
- Two Beautiful Mathematical Results
- Four Interesting Math Problems
- Number Theory: Nice Generalization of the Waring Conjecture
- Fascinating Chaotic Sequences with Cool Applications
- Simple Proof of the Prime Number Theorem
- Are the Digits of Pi Truly Random?
- Fascinating Facts and Conjectures about Primes and Other Special Nu...
- 5 Myths About PhD Data Scientists
- First Doctorship in Data Science
- Comprehensive Repository of Data Science and ML Resources
- Sample Projects for Data Scientists in Training
- Number Representation Systems Explained in One Picture
- Data Science Cheat Sheet
- Developing Analytic Talent - Becoming a Data Scientist.
- 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

**DSC Resources**

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- Advanced Machine Learning with Basic Excel
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- Selected Business Analytics, Data Science and ML articles
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- Book: Applied Stochastic Processes
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- New Machine Learning Cheat Sheet | Old one
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- Free Book and Resources for DSC Members
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- Statistical Concepts Explained in Simple English
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- Comprehensive Repository of Data Science and ML Resources
- Advanced Machine Learning with Basic Excel
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- Selected Business Analytics, Data Science and ML articles
- How to Automatically Determine the Number of Clusters in your Data
- Fascinating New Results in the Theory of Randomness
- Hire a Data Scientist | Search DSC | Find a Job
- Post a Blog | Forum Questions

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