## Reading List For A Data Scientist Interview

Posted by **Joseph Lee**

Updated: Feb 28, 2016

## Data Scientist Reading List

__the first book, the Fundamentals of Machine Learning for Predictive Data Analytics is by far my favorite supplementary read__. It is semi-technical (not as technical as the Machine learning: A Probabilistic Perspective I should say), fairly easy to read, and goes over the higher level thinking for data science methods in business applications.

### Joseph Lee

A recent graduate from Northwestern University with a B.S. in Biomedical Engineering and a Minor in computer science, Joseph has a strong background in computer engineering and programming concepts. His previous work and academic studies contains a panoply of topics including micro-electronics, cardiovascular instrumentation, machine learning, artificial intelligence, computer systems, biomedical signal processing, and programming languages. A polyglot enthusiast, Joseph is well versed and in multiple programming languages and computing environments including C++, C#, Java, Python, R, Lisp, and Matlab. As an aspiring data scientist, he has built a strong foundation in statistical learning and data manipulation methodologies in R and Python.

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