| Cracking the Data Science Interview: 101+ Data Science Questions & Solutions Contributor(s): Lin, Maverick (Author) |
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ISBN: 171068013X ISBN-13: 9781710680133 Publisher: Independently Published OUR PRICE: $11.39 Product Type: Paperback Published: December 2019 |
| Additional Information |
| BISAC Categories: - Computers | Data Modeling & Design |
| Physical Information: 0.28" H x 5.51" W x 8.5" (0.35 lbs) 120 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Cracking the Data Science Interview is the first book that attempts to capture the essence of data science in a concise, compact, and clean manner. In a Cracking the Coding Interview style, Cracking the Data Science Interview first introduces the relevant concepts, then presents a series of interview questions to help you solidify your understanding and prepare you for your next interview. Topics include: - Necessary Prerequisites (statistics, probability, linear algebra, and computer science) - 18 Big Ideas in Data Science (such as Occam's Razor, Overfitting, Bias/Variance Tradeoff, Cloud Computing, and Curse of Dimensionality) - Data Wrangling (exploratory data analysis, feature engineering, data cleaning and visualization) - Machine Learning Models (such as k-NN, random forests, boosting, neural networks, k-means clustering, PCA, and more) - Reinforcement Learning (Q-Learning and Deep Q-Learning) - Non-Machine Learning Tools (graph theory, ARIMA, linear programming) - Case Studies (a look at what data science means at companies like Amazon and Uber) Maverick holds a bachelor's degree from the College of Engineering at Cornell University in operations research and information engineering (ORIE) and a minor in computer science. He is the author of the popular Data Science Cheatsheet and Data Engineering Cheatsheet on GCP and has previous experience in data science consulting for a Fortune 500 company focusing on fraud analytics. |