Keywords are the foundation of a strong resume. Learn how to choose the right ones and improve your chances of landing an interview.| Coursera
Musings of a Computer Scientist.| karpathy.github.io
A data scientist uses data to understand and explain the phenomena around them, and help organizations make better decisions.| Coursera
Decision trees are a supervised learning algorithm often used in machine learning. Explore what decision trees are and how you might use them in practice.| Coursera
This is a 3 part series of Deep Q-Learning, which is written such that undergrads with highschool maths should be able to understand and hit the ground running on their deep learning projects. This…| Bruceoutdoors Blog of Blots
Posts and writings by S. Zayd Enam| ai.stanford.edu
This is the final part in my series on going from PhD to Data Science (parts I and II). As previously mentioned, while I was demoing my Insight project at companies, I also spent a good bit of time studying for interviews. The technical areas of study for interviews can be largely grouped as Computer Science (CS) Machine Learning (ML) Statistics SQL I’ll first review some resources for these areas of study then talk about interviews.| www.ethanrosenthal.com
The internet is awash with posts by former PhD students who have succesfully transitioned into data scientist roles in industry (see here, here, here, and tangentially here). I loved reading these posts while studying for job interviews because I felt like the more I saw examples of sucessful transitions, the more likely it seemed that such feats were actually achievable. I am going to try to touch on many of the aspects of leaving academia for data science while trying to limit the length of...| www.ethanrosenthal.com
Wandering in a lifelong journey seeking after truth| Mostafa Samir's Blog