Here we blended together the *best of the best* resources posted recently on DSC. It would be great to organize them by category, but for now they are organized by date. This is very useful too, since you are likely to have seen old entries already, and can focus on more recent stuff. We plan to update this reference of references on a regular basis.

**June 10, 2014**

- A tutorial on statistical-learning for scientific data processing
- R useful functions
- Numeric matrix manipulation: Cheat sheet for MATLAB, Python NumPy, ...
- Is there a future for Map/Reduce?
- Performance improvements for R - PDF doc
- Statistical Language Wars - Infographics
- 50 selected papers in Data Mining and Machine Learning
- Top 10 Algorithms in Data Mining
- Build your own recommendation engine with R
- A Tour of Machine Learning Algorithms
- 100+ Interesting Data Sets for Data Science

**June 3, 2014**

- A Tour of Machine Learning Algorithms
- 100+ Interesting Data Sets for Statistics
- Regular Expressions as used in R
- Tricking your elephant to do data manipulations
- Step-by-Step Guide to Setting Up an R-Hadoop System
- openFDA provides open APIs, raw data downloads
- Living Social: What is Your Social Graph and How is it Used?
- Signi-Trend: Detecting Significant Trends in Text

**May 28, 2014**

- Advanced R
- Fast out-of-core learning system Vowpal Wabbit
- Where are the Deep Learning Courses?
- 11 Data Science Research Papers
- Calling R from other applications: ZeroMQ, R, PHP, Python
- A Tour of Machine Learning Algorithms

**May 3, 2014**

- MLTK: Machine Learning Toolkit in Java – free download
- Python tutorials for data scientists
- Experfy, Big Data Consulting Marketplace in Harvard
- Massachusetts releases Big Data Report 2014 - PDF socument
- Visualizing supervised machine learning with association rules and ...
- Large selection of courses for data scientists
- 9 Free Books for Learning Data Mining & Data Analysis
- Reliability and Reproducibility: Fraudulent p-values through multip...
- 16 resources to learn and understand Hadoop

**March 21, 2014**

© 2019 Data Science Central ® Powered by

Badges | Report an Issue | Privacy Policy | Terms of Service

**Most Popular Content on DSC**

To not miss this type of content in the future, subscribe to our newsletter.

**Technical**

- Free Books and Resources for DSC Members
- Learn Machine Learning Coding Basics in a weekend
- New Machine Learning Cheat Sheet | Old one
- Advanced Machine Learning with Basic Excel
- 12 Algorithms Every Data Scientist Should Know
- Hitchhiker's Guide to Data Science, Machine Learning, R, Python
- Visualizations: Comparing Tableau, SPSS, R, Excel, Matlab, JS, Pyth...
- How to Automatically Determine the Number of Clusters in your Data
- New Perspectives on Statistical Distributions and Deep Learning
- Fascinating New Results in the Theory of Randomness
- Long-range Correlations in Time Series: Modeling, Testing, Case Study
- Fast Combinatorial Feature Selection with New Definition of Predict...
- 10 types of regressions. Which one to use?
- 40 Techniques Used by Data Scientists
- 15 Deep Learning Tutorials
- R: a survival guide to data science with R

**Non Technical**

- Advanced Analytic Platforms - Incumbents Fall - Challengers Rise
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- How to Become a Data Scientist - On your own
- 16 analytic disciplines compared to data science
- Six categories of Data Scientists
- 21 data science systems used by Amazon to operate its business
- 24 Uses of Statistical Modeling
- 33 unusual problems that can be solved with data science
- 22 Differences Between Junior and Senior Data Scientists
- Why You Should be a Data Science Generalist - and How to Become One
- Becoming a Billionaire Data Scientist vs Struggling to Get a $100k Job
- Why do people with no experience want to become data scientists?

**Articles from top bloggers**

- Kirk Borne | Stephanie Glen | Vincent Granville
- Ajit Jaokar | Ronald van Loon | Bernard Marr
- Steve Miller | Bill Schmarzo | Bill Vorhies

**Other popular resources**

- Comprehensive Repository of Data Science and ML Resources
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- 100 Data Science Interview Questions and Answers
- Cheat Sheets | Curated Articles | Search | Jobs | Courses
- Post a Blog | Forum Questions | Books | Salaries | News

**Archives**: 2008-2014 | 2015-2016 | 2017-2019 | Book 1 | Book 2 | More

**Most popular articles**

- Free Book and Resources for DSC Members
- New Perspectives on Statistical Distributions and Deep Learning
- Time series, Growth Modeling and Data Science Wizardy
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- 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

## You need to be a member of Data Science Central to add comments!

Join Data Science Central