James Le March 6, 2020 Full-Stack Deep Learning The 5 Components Towards Building Production-Ready Machine Learning Systems James Le March 6, 2020 Full-Stack Deep Learning In this blog post, I would like to share the best practices to deploy machine learning models in production as efficiently as possible.
James Le January 15, 2020 Full-Stack Deep Learning The 5-Step Recipe To Make Your Deep Learning Models Bug-Free James Le January 15, 2020 Full-Stack Deep Learning In this blog post, I will provide a mental recipe on troubleshooting deep neural networks.
James Le January 4, 2020 Full-Stack Deep Learning The 5 Concepts in Data Management That You Should Be Cognizant Of James Le January 4, 2020 Full-Stack Deep Learning In this blog post, I would like to share the 5 concepts in managing data to ensure their eventual quality as inputs for your machine learning models.
James Le December 19, 2019 Full-Stack Deep Learning The 4 Steps To Build Out Your Machine Learning Team Productively James Le December 19, 2019 Full-Stack Deep Learning In this blog post, I would like to share some insights into how to think about building and managing Machine Learning teams if you are a manager, and also possibly help you get a job in Machine Learning if you are a job seeker.
James Le December 4, 2019 Full-Stack Deep Learning The 7 Questions You Need to Ask to Operate Deep Learning Infrastructure at Scale James Le December 4, 2019 Full-Stack Deep Learning In this blog post, I would like to share the 7 questions that you and your Deep Learning colleagues should ask to handle deep learning technical debt.
James Le November 25, 2019 Full-Stack Deep Learning The 5 Steps to Set Your Machine Learning Projects Up for Success James Le November 25, 2019 Full-Stack Deep Learning In this blog post, I would like to share the 5 steps that you can use to set up your Machine Learning projects up for success.