About James Le

James Le is a Data Scientist, with a focus on Deep Learning & Recommendation Systems, and a Data Journalist with over 1 Million Views. Contact him on LinkedIn.

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.