Rocketprep Ace Your Data Science Interview 300 Practice Questions And Answers Machine Learning Statistics Databases And More
Download Rocketprep Ace Your Data Science Interview 300 Practice Questions And Answers Machine Learning Statistics Databases And More PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Rocketprep Ace Your Data Science Interview 300 Practice Questions And Answers Machine Learning Statistics Databases And More book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
RocketPrep Ace Your Data Science Interview 300 Practice Questions and Answers: Machine Learning, Statistics, Databases and More
Here's what you get in this book: - 300 practice questions and answers spanning the breadth of topics under the data science umbrella - Covers statistics, machine learning, SQL, NoSQL, Hadoop and bioinformatics - Emphasis on real-world application with a chapter on Python libraries for machine learning - Focus on the most frequently asked interview questions. Avoid information overload - Compact format: easy to read, easy to carry, so you can study on-the-go Now, you finally have what you need to crush your data science interview, and land that dream job. About The Author Zack Austin has been building large scale enterprise systems for clients in the media, telecom, financial services and publishing since 2001. He is based in New York City.
PM Interview Workbook
NOTE: This is the OLDER 1st edition. The NEWER 2nd edition, re-titled as PM Interview Questions, is available here: http://amzn.to/2crlN1l ----- Over 160 Real PM Interview Workbook from Top Tech Companies The world's expert in product management interviews, Lewis C. Lin, gives readers over 160 practice questions to gain product management (PM) proficiency and master the PM interview. The PM Interview Workbook is a resource you don't want to miss. It contains over 160 actual questions from top tech companies including: Google Facebook Amazon Uber Dropbox Microsoft Fully Solved Solutions The book contains fully solved solutions so readers can learn, improve and do their best at the PM interview. Here are some questions and sample answers you'll find in the book: Product Design How would you design an ATM for elderly people? Should Google build a Comcast-like TV cable service? Instagram currently supports 3 to 15 second videos. We're considering supporting videos of unlimited length. How would you modify the UX to accommodate this? Pricing How would you go about pricing UberX or any other new Uber product? Let's say Google created a teleporting device: which market segments would you go after? How would you price it? Metrics Imagine you are the Amazon Web Services (AWS) PM in Sydney. What are the top three metrics you'd look at? Facebook users have declined 20 percent week over week. Diagnose the problem. How would you fix the issue? The Perfect Complement to Cracking the PM Interview or Decode and Conquer Many of you enjoyed reading about the PM interview frameworks revealed in Cracking the PM Interview as well as Decode and Conquer, including the CIRCLES(tm), AARM(tm) and DIGS(tm) Methods. The PM Interview Workbook is the perfect complement to both books. With over 160 practice questions, you'll see what the best PM interview responses look and feel like.
Data Science with Machine Learning
Author: Vishwanathan Narayanan
language: en
Publisher: BPB Publications
Release Date: 2019-09-19
For beginners to level up Core Programming Skills DESCRIPTION The book ÒData science with Machine learning- Python interview questionsÓ is a true companion of people aspiring for data science and machine learning and provides answers to mostly asked questions in a easy to remember and presentable form. Data science is one of the hottest topics mainly because of the application areas it is involved and things which were once upon of time, impossible with earlier software has been made easy. This book is mainly intended to be used as last-minute revision, before interview, as all the important concepts have been given in simple and understand format. Many examples have been provided so that same can be used while giving answers in interview. This book tries to include various terminologies and logic used both as a part of Data Science and Machine learning for last minute revision. As such you can say that this book acts as a companion whenever you want to go for interview. Simple to use words have been used in the answers for the questions to help ease of remembering and representation of same. Examples where ever deemed necessary have been provided so that same can be used while giving answers in interview. Author tried to consolidate whatever he came across, on multiple interviews that he attended and put the same in words so that it becomes easy for the reader of the book to give direction on how the interview would be. With the number of data science jobs increasing, Author is sure that everyone who wants to pursue this field would like to keep this book as a constant companion. KEY FEATURES Easy to learn, step by step explanation of examples. Questions related to core/basic Python, Excel, basic and advanced statistics are included. Covers numpy, scipy, sklearn and pandas to a greater detail with good number of examples WHAT WILL YOU LEARN You can learn the basic concept and terms related to Data Science You will get to learn how to program in python You can learn the basic questions of python programming By reading this book you can get to know the basics of Numpy You will get familiarity with the questions asked in interview related to Pandas. You will learn the concepts of Scipy, Matplotib, and Statistics with Excel Sheet WHO THIS BOOK IS FOR The book is intended for anyone wish to learn Python Data Science, Numpy, Pandas, Scipy, Matplotib and Statistics with Excel Sheet. This book content also covers the basic questions which are asked during an interview. This book is mainly intended to help people represent their answer in a sensible way to the interviewer. The answers have been carefully rendered in a way to make things quite simple and yet represent the seriousness and complexity of matter. Since data science is incomplete without mathematics we have also included a part of the book dedicated to statistics. Table of Contents 1.ÊÊData Science Basic Questions and Terms 2.ÊÊPython Programming Questions 3.ÊÊNumpy Interview Questions 4.ÊÊPandas Interview Questions 5.ÊÊScipy and its Applications 6.ÊÊMatplotlib Samples to Remember 7. Statistics with Excel Sheet