Scott ZelenkainTowards Data ScienceHow to shrink NumPy, SciPy, Pandas, and Matplotlib for your data productLets explore why NumPy, SciPy, Pandas, Matplotlib are so ginormous when installed through PIP, and devise a strategies (with source…Sep 25, 20184Sep 25, 20184
Scott ZelenkainTowards Data ScienceData annotation best practices for business datasetsIn a previous post, we covered how we can leverage reCAPTCHA, Mechanical Turk, Figure Eight, or PyBOSSA to reach a large crowd of workers…Sep 17, 2018Sep 17, 2018
Scott ZelenkainTowards Data ScienceHow to curate a ground truth for your business datasetIf you’re a practicing Data Scientist whom is always given an accurately labeled dataset to apply advanced machine learning algorithms on…Sep 17, 20183Sep 17, 20183
Scott ZelenkainTowards Data ScienceHow to do rapid prototyping with Flask, uWSGI, NGINX, and Docker on OpenShiftThis post will detail the technical aspects (with reference code) of getting your prototype into a Docker container which can run on…Sep 10, 20181Sep 10, 20181
Scott ZelenkainTowards Data ScienceThe call for a Data Science Readiness LevelIn the 1970s, NASA developed the Technical Readiness Level (TRL) scale to measure research and development of cutting edge technology…Sep 6, 2018Sep 6, 2018