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Cracking the Data Science Interview: 101+ Data Science Questions & Solutions
Paperback
ISBN13: 9781710680133
Publisher: Independently Published
Published: Dec 17 2019
Pages: 120
Weight: 0.35
Height: 0.28 Width: 5.51 Depth: 8.50
Language: English
- 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.
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