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