Advice and suggestions from an information scientist who landed two internships in a 12 monthsIn today’s competitive job market, securing an information science internship could be your ticket to a thriving profession in tech.But...
Dissecting “Reinforcement Learning” by Richard S. Sutton with Custom Python Implementations, Episode IIIWe proceed our deep dive into Sutton’s great book about RL and here deal with Monte Carlo (MC) methods. These are...
CUDA for Machine Learning: Practical ApplicationsStructure of a CUDA C/C++ application, where the host (CPU) code manages the execution of parallel code on the device (GPU).Now that we have covered the fundamentals, let's explore...
Neuralink's first brain chip implant patient has revealed that he's learning foreign languages using the device. His condition is alleged to have improved to the purpose where he says he'll someday return to highschool...
Why do L1 and L2 regularization lead to model sparsity and weight shrinkage? What about L3 regularization? Keep reading to search out out more!Co-authored with Naresh Singh.After reading this text, you’ll be thoroughly equipped...
Scaling reinforcement learning from tabular methods to large spacesReinforcement learning is a site in machine learning that introduces the concept of an agent learning optimal strategies in complex environments. The agent learns from its...
Things to do and things to avoid with a view to find the precise candidates on your open positionI’ve probably been involved within the hiring process for data scientists a dozen times or more...