PinnedRay HebererinTowards Data ScienceWhy Going from Implementing Q-learning to Deep Q-learning Can Be Difficult3 Questions I was Afraid to Ask (and my Tensorflow 2.0 Template)·11 min read·Dec 31, 2019--4--4
Ray HebererinThe StartupThe 4 Phases of Data Science Consulting ProjectsA retrospective·5 min read·Oct 30, 2020----
Ray HebererinTowards Data ScienceYou Should Be Using purrr for More than Just Iteration3 functions from the Tidyverse package that improve working with lists in R·4 min read·Sep 29, 2020----
Ray HebererinTowards Data ScienceExpert Systems 2.0How neural networks are democratizing procedural knowledge·7 min read·Aug 31, 2020----
Ray HebererinTowards Data ScienceImproving Plotly’s Polar Bar ChartsGoing beyond the defaults to create pretty and reproducible charts·5 min read·Jul 29, 2020----
Ray HebererMechanical Versus Conceptual DifficultyOn finding gaps in your STEM education and enhancing your lifelong learning·6 min read·Jun 30, 2020----
Ray HebererinThe StartupStop Building Neural Networks Using Flat CodeA tf.keras Functional API code snippet·3 min read·May 31, 2020----
Ray HebererinTowards Data ScienceHow to Consume News More Intelligently Using Bayes’ theoremBase rates, marginal probabilities, sensitivity, and specificity·7 min read·Apr 30, 2020----
Ray HebererinBetter ProgrammingPlot 3D Functions With Matplotlib and NumPyDemonstrating meshgrid, vectorize, and other useful tools·5 min read·Mar 3, 2020--3--3
Ray HebererinAscent PublicationHow to Do More by Demanding LessAn intelligent framework for setting small goals·9 min read·Feb 20, 2020--1--1
