Welcome to the series of articles sponsored by Intel – “Ask a Data Scientist” from insideBIGDATA’s popular Data Science 101
channel. These articles constitute many of our site’s most popular resources for newbie data scientists. The 12 articles listed below were from reader submitted questions of varying levels of technical detail and answered by a practicing data scientist – sometimes by me and other times by an Intel data scientist. We tried to cover common topics that we typically see asked by those transitioning to data science from other fields, or just generally people who are busy retooling for a career in this dynamic field. Enjoy!
- Recommender Systems
- Curse of Dimensionality
- The Bias vs. Variance Tradeoff
- Handling Missing Data
- The Importance of Exploratory Data Analysis
- The Data Science Process
- Unsupervised Learning
- Data Leakage
- Storytelling with Data
- Confounding Variables
- Ensemble Methods
- Becoming a Data Scientist
Contributed by Daniel D. Gutierrez, Managing Editor and Resident Data Scientist of insideBIGDATA. In addition to being a tech journalist, Daniel also is a practicing data scientist, author, educator and sits on a number of advisory boards for various start-up companies.
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