Behind the algorithms

Here are two articles that I discovered today:


77% percent of the time spent by a data scientist is related to non-machine learning algorithms selection, testing and refinement.

  1. Data Processing
  2. Training Sets creation
  3. Machine Learning Algorithms testing, evaluation and selection
  4. Deployment and A/B testing


An really comprehensible tour of datascience implementation at Stichfix.


“Our business model enables unprecedented data science, not only in recommendation systems, but also in human computation, resource management, inventory management, algorithmic fashion design and many other areas. Experimentation and algorithm development is deeply engrained in everything that Stitch Fix does. We’ll describe a few examples in detail as you scroll along.”

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