by laketide | Apr 26, 2019 | Programming, Theory
Robert Luciani & Hao Huang Fairly recently we came across a paper by Li et.al on generating loss surfaces. The plots looked so cool, we immediately wanted to try it ourselves. Unfortunately, the paper’s associated GitHub repo had so much Python code for...
by laketide | Jun 18, 2017 | Programming, Theory
Hi, Albin here again! Part of the work I do at LakeTide is making our machine learning models more computationally efficient. For instance, sometimes the neural networks we develop end up being big enough that they don’t fit on GPUs anymore. Other times we just...
by laketide | Feb 15, 2016 | Business, Theory
Your competitors are probably not using it yet. Software from well-established analytics vendors has always been 5 to 10 years behind leading machine learning technology. Consider the following example: 2001 – The Random Forest algorithm was formalized by Leo...
