Hey guys, i prepare a Data Science Interview Guide
This is a practical guide to help you ace classical Machine Learning interviews.
The book contains sample of theoretical questions asked on interviews on Data Science position.
What you will get:
- 6 chapters 47 pages covering topics ranging from Statistics and probability, Supervised machine learning, Gradient Descent Algorithm, Loss measure
- 77 interview questions
- Usefull links and preparation repository
Table of Contents:
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Statistics and probability
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- Distribution
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Supervised machine learning
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- Binary classification
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- Regression
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- Singular Value Decomposition (SVD)
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- Logistic Regression
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Gradient Descent
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Loss measure
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Data Science Interview Questions
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Usefull links and preparation repository
You can buy it Data Science Interview Guide
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