Lately, I’ve found that I’m not reading as much. I’ve been focused on a couple of projects and have neglected other aspects of my data science education. I’m starting to schedule time into my day for finding and reading things online. Here are some of the posts I’ve found interesting lately.
- The Value of Exploratory Data Analysis
- Which machine learning algorithm should I use?
- The 10 Algorithms Machine Learning Engineers Need to Know
In addition to learning data science, I’m also trying to build a career. There are so many aspects to data science that I’m not always sure what to focus on. I think I could really use a mentor to help me through this process, and found some good advice on that front as well: