About James Le

James Le is currently applying for Master of Science Computer Science programs in the US for the Fall 2018 admission. His intended research will focus on Machine Learning and Data Mining. In the mean time, he is working as a freelance full-stack web developer.

James Le Posts (6)

• 8 Useful Advices for Aspiring Data Scientists - 04 May 2018
  
  I recently read Sebastian Gutierrez’s “Data Scientists at Work”, in which he interviewed 16 data scientists. I want to share the best answers that these data scientists gave for the question: "What advice would you give to someone starting out in data science?"
• 12 Useful Things to Know About Machine Learning - 12 Apr 2018
  
  This is a summary of 12 key lessons that machine learning researchers and practitioners have learned include pitfalls to avoid, important issues to focus on and answers to common questions.
• The 8 Neural Network Architectures Machine Learning Researchers Need to Learn - 31 Jan 2018
  
  In this blog post, I want to share the 8 neural network architectures from the course that I believe any machine learning researchers should be familiar with to advance their work.
• The 10 Deep Learning Methods AI Practitioners Need to Apply - 13 Dec 2017
  
  Deep learning emerged from that decade’s explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every corner of machine learning.
• The 10 Statistical Techniques Data Scientists Need to Master - 15 Nov 2017
  
  The author presents 10 statistical techniques which a data scientist needs to master. Build up your toolbox of data science tools by having a look at this great overview post.
• The 10 Algorithms Machine Learning Engineers Need to Know - 18 Aug 2016
  
  Read this introductory list of contemporary machine learning algorithms of importance that every engineer should understand.