Cracking the Data Science Interview

Download or Read eBook Cracking the Data Science Interview PDF written by Maverick Lin and published by . This book was released on 2019-12-17 with total page 120 pages. Available in PDF, EPUB and Kindle.
Cracking the Data Science Interview
Author :
Publisher :
Total Pages : 120
Release :
ISBN-10 : 171068013X
ISBN-13 : 9781710680133
Rating : 4/5 (3X Downloads)

Book Synopsis Cracking the Data Science Interview by : Maverick Lin

Book excerpt: 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.


Cracking the Data Science Interview Related Books

Cracking the Data Science Interview
Language: en
Pages: 120
Authors: Maverick Lin
Categories:
Type: BOOK - Published: 2019-12-17 - Publisher:

DOWNLOAD EBOOK

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 Crackin
Ace the Data Science Interview
Language: en
Pages: 290
Authors: Kevin Huo
Categories: Big data
Type: BOOK - Published: 2021 - Publisher:

DOWNLOAD EBOOK

Heard in Data Science Interviews
Language: en
Pages: 240
Authors: Kal Mishra
Categories:
Type: BOOK - Published: 2018-10-03 - Publisher: Createspace Independent Publishing Platform

DOWNLOAD EBOOK

A collection of over 650 actual Data Scientist/Machine Learning Engineer job interview questions along with their full answers, references, and useful tips
Be the Outlier
Language: en
Pages: 212
Authors: Shrilata Murthy
Categories:
Type: BOOK - Published: 2020-07-27 - Publisher:

DOWNLOAD EBOOK

According to LinkedIn's third annual U.S. Emerging Jobs Report, the data scientist role is ranked third among the top-15 emerging jobs in the U.S. Though the fi
Cracking the Coding Interview
Language: en
Pages: 0
Authors: Gayle Laakmann McDowell
Categories: Computer programmers
Type: BOOK - Published: 2011 - Publisher: CreateSpace

DOWNLOAD EBOOK

Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 1