Here are some articles I've bookmarked recently that caught my interest.
General interest articles on how organizations use Data Science
- Web of Assumptions: Americans don't like when companies infer their personal information - but marketers keep doing it anyway
- Big Brother on wheels: Why your car company may know more about you than your spouse
- Companies race to gather a newly prized currency: Our body measurements
- Can big data predict which bills will pass Congress?
- Data Science at Stitch Fix
Data Science-related talks and advice
- 22 must watch talks on Python for Deep Learning, Machine Learning & Data Science (from PyData 2017, Amsterdam)
- How to get your first job in Data Science?
- 45 Questions to test a data scientist on basics of Deep Learning (along with solution)
- What do Hiring Managers Look For in a Data Scientist's CV?
Data Science Self-Learning
- 10 Free Must-Read Books for Machine Learning and Data Science
- Must-Read Free Books for Data Science
- How to learn Deep Learning in 6 months
- A Complete Guide on Getting Started with Deep Learning in Python
- Data Science at the Command Line: Exploring Data: This article gives an introduction to the free book Data Science at the Command Line . There is a short discussion of Chapter 7, which discusses Exploratory Data Analysis (EDA) techniques using command line tools.
- A visual introduction to machine learning: A really unique and interesting way to explain Machine Learning!
- Pandas Cheat Sheet for Data Science in Python
- 5 Tips to Write Idiomatic Pandas Code
- Machine Learning is Fun!: Interesting 8-part series that describes increasingly-complex applications of machine learning algorithms.
Deep Learning
- Greedy, Brittle, Opaque, and Shallow: The Downsides to Deep Learning
- Off the Beaten path - Using Deep Forests to Outperform CNNs and RNNs: Some new research details Deep Learning techniques that can be used with relatively little data and without the need for GPUs.
Comments
Post a Comment