Subscribe to DSC Newsletter

For articles published prior to November 2015, click here..

The following is a selection of featured articles that were posted in our previous weekly digests, in short, the best of the best on DSC. Single-starred articles are written by external/guest bloggers. Older popular articles are being added regularly, so please check out this page once a week!

Our upcoming book on data science 2.0 (or data science automation or data science handbook or the little data science book, not sure yet about the title) will be based on some of these (edited and revised) articles: these articles are double-starredbelow, with red starring **.

Double-starred articles, with blue starring **, were published in our Wiley book.

A great selection of articles prior to 2014, broken down by category, can be found here.

December 2015

  1. Now That You’ve Gone Swimming in the Data Lake – Then What? - 12/14
  2. How to Become a Data Scientist - 12/14
  3. Advanced Analytics is being used by Retailers and Suppliers - Case ...* - 12/14
  4. How to become a good coder * - 12/14
  5. Top 6 Hadoop Vendors Providing Big Data Solutions in Open Data Plat...- 12/14
  6. Interview with Dr. Shanji Xiong, Chief Scientist at Experian’s Glob...- 12/14
  7. Interview with Gideon Mann, Head of Data Science at Bloomberg - 12/14
  8. Big Data at NASA - 12/14
  9. 96% of Companies Are Failing Miserably When it Comes to Marketing D...- 12/14
  10. 5 Machine Learning Open Source Projects From Top Internet Companies - 12/14
  11. Walmart and Random Forest * - 12/14
  12. Machine Learning for Lotteries * - 12/14
  13. 20 Big Data Repositories You Should Check Out ** - 12/14
  14. 4 Data Processing Architectures of Web Companies - 12/14
  15. Top 10 Machine Learning Algorithms ** - 12/14
  16. R Programming: 35 Job Interview Questions and Answers ** - 12/14
  17. 49 Machine Learning Resources and Related Articles from Top Bloggers - 12/14
  18. 10 Open Source ETL Tools - 12/14
  19. What you won't learn in stats classes ** - 12/7
  20. 100 Data Science Interview Questions and Answers ** - 12/7
  21. Great Data Science and Machine Learning Podcasts - 12/7
  22. Great Analysis with R and Shiny: Federal Home Loan Bank Data - 12/7
  23. 10 Free Machine Learning books - 12/7
  24. How to add a data science search engine to your blog: solution - ** - 12/7
  25. 4 Open Source Machine Learning & Visualization projects by Google - 12/7
  26. Essentials of R: An NFL Example * - 12/7
  27. Tons of #machinelearning and #datascience resources that cost nothing ** - 12/7
  28. The Knowledge Pyramid * - 12/7
  29. 3 Reasons why analytics projects are falling short - and what we ca...* - 12/7
  30. 6 Often Forgotten ROI Factors In Data Analytics * - 12/7
  31. How to Build Data Science Teams * - 12/7
  32. 10 Big Data Use Cases Everyone Must Read - 12/7
  33. Just When You Thought You Understood RDBMS and NoSQL Databases – Th...- 12/7

November 2015

  1. 1.1 Billion NYC Taxi and Uber Trips analyzed and visualized * - 11/30
  2. Google + open-source = TensorFlow * - 11/30
  3. Top 5 graph visualisation tools * - 11/30
  4. Great Analysis: HarvardX / MITx Online Courses - Year 1 * - 11/30
  5. Multivariate vs. univariate modeling: predicting taste of wine * - 11/30
  6. Top 6 Data Modeling Tools * - 11/30
  7. What is Hadoop - An Easy Explanation For Absolutely Anyone - 11/30
  8. 6 Ways Big Data Analytics Can Drive Smarter Customer Service * - 11/30
  9. 5 Ways Machine Learning Is Reshaping Our World - 11/30
  10. Big Data in Medicine – Evolution and Revolution - 11/30
  11. The Hadoop Ecosystem: HDFS, Yarn, Hive, Pig, HBase and growing * - 11/30
  12. The ABCD's of Business Optimization ** - 11/30
  13. Predictive Analytics in the Supply Chain - 11/30
  14. How to Find the Best Big Data Jobs - 11/30
  15. What Is Spark - An Easy Explanation For Absolutely Anyone - 11/23
  16. TensorFlow Machine Learning System * - 11/23
  17. Eight IOT Analytics Products - 11/23
  18. The Data Science Industry: Who Does What ** - 11/23
  19. 30 Great Resources and Articles ** - 11/23
  20. What Is Unsupervised Learning? * - 11/23
  21. Programming Python vs R - 11/23
  22. Comparing Data Warehouse Solutions * - 11/23
  23. 21 data science systems used by Amazon to operate its business ** - 11/23
  24. Why Every Manager Needs These Data Science Skills - 11/23
  25. Spark Or Hadoop: Which Is The Best Big Data Framework? - 11/23
  26. Sabermetrics: Baseball Analytics and the Science of Winning [Infogr...- 11/23
  27. The Future of Analytics Depends on IBM - and Vice Versa! * - 11/23
  28. Predictive Analytics Goes to College – to Predict Student Success - 11/23
  29. Top R articles of the week ** - 11/16
  30. 600 websites about R ** - 11/16
  31. 50+ types of sensor, social, system, and interaction data ** - 11/16
  32. 7 Free Machine Learning Courses - 11/16
  33. How I start my journey to data science * - 11/16
  34. 10 Free Hadoop Tutorials - 11/16
  35. DataViz for Cavemen ** - 11/16
  36. R Packages: A Healthcare Application * - 11/16
  37. The Top 50 IoT People to Follow on Twitter - 11/26
  38. Data Science is greater than the sum of its parts ** - 11/26
  39. Short-Term Forecasting of Electricity Demand - 11/26
  40. Forex Algorithmic Trading: A Practical Tale for Engineers * - 11/26
  41. What is R? R Explained in less than Two Minutes, to Absolutely Anyone - 11/26
  42. What is Python – An Easy Explanation For Absolutely Anyone - 11/26
  43. What is Hadoop - An Easy Explanation For Absolutely Anyone - 11/16
  44. What every CEO/MD needs to know about Big Data & Data Analytics * - 11/16
  45. Are data scientists overpaid? ** - 11/16
  46. Can you learn data science on the job? ** - 11/16
  47. Smart Spenders in Healthcare - Great Infographic - 11/16
  48. How Data Analytics is becoming a Field for Anyone and Everyone * - 11/16
  49. Data as a Service, Data as a Product, Data as an App * - 11/16
  50. The Data Science Industry: Who Does What (Infographic) - 11/16
  51. Is Data Science, Like Mathematics, a Universal Language? - 11/16
  52. Example of Bad Data Science: Test of Hypothesis ** - 11/16
  53. Data Products in 2016 * - 11/16
  54. 4th generation Data Warehousing will save Big Data * - 11/16
  55. DJ Patil and The Evolution of the Chief Data Scientist * - 11/16
  56. Time-to-Insight Versus Time-to-Action - 11/16
  57. 6 stages of debugging - 11/9
  58. Python for Data Science vs Python for Web Development - 11/9
  59. The Beautiful Duality of TDA (Topological Data Analysis) * - 11/9
  60. Natural Gas Storage Optimization * - 11/9
  61. 17 Data Science and R interview Q&A * - 11/9
  62. 10 great books about R ** - 11/9
  63. Mapping the Internet of Things - 11/9
  64. 20 Stupid Claims About Big Data - 11/9
  65. Anatomy of Data Analytics – Part I * - 11/9
  66. Learning Analytics * - 11/9
  67. What Do Data Scientists Do Exactly? * - 11/9
  68. 7 Traits a Big Data Scientist Shouldn’t Have - 11/9
  69. The Need for Speed: In-Memory and the Marriage of RDBMS and NoSQL - 11/9
  70. Great IoT, Sensor and other Data Sets Repositories ** - 11/2
  71. How Uber Uses Spark - 11/2
  72. Time Series Forecasting and Internet of Things (IoT) in Grain Storage * - 11/2
  73. Introduction to Machine Learning Theory and Its Applications: A Vis...* - 11/2
  74. 245 Modules to Put Your Excel On Steroids * - 11/2
  75. 50+ free online resources to learn more about data science and anal...* - 11/2
  76. How to write your Data Science CV * - 11/2
  77. 3 Effortless Tactics to Be a Data Science Success in Business * - 11/2
  78. Attribution Modeling: Key Analytical Strategy to Boost Marketing ROI ** - 11/2
  79. 6 Reasons To Replace Your Spreadsheet-Driven Reporting - 11/2
  80. Stream Processing and Streaming Analytics – How It Works - 11/2
  81. 5 Steps from Business Analyst to Data Scientist - 11/2

Views: 2105

Follow Us

Videos

  • Add Videos
  • View All

Resources

© 2017   Data Science Central   Powered by

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