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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:

  • Statistics and probability
  • - Distribution
  • Supervised machine learning
  • - Binary classification
  • - Regression
  • - Singular Value Decomposition (SVD)
  • - Logistic Regression
  • Gradient Descent
  • Loss measure
  • Data Science Interview Questions

  • Usefull links and preparation repository

Contact Info:

If you have any questions feel free to contact me at alimbekovr@hotmail.com or on Twitter alimbekovkz

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  • You'll receive a PDF
  • Size2.48 MB
  • Length47 pages
  • Interview Questions77


Data Science Interview Guide

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