Rocketprep Ace Your Data Science Interview 300 Practice Questions And Answers Machine Learning Statistics Databases And More
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Rocketprep Ace Your Data Science Interview 300 Practice Questions And Answers Machine Learning Statistics Databases And More
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Author : Zack Austin
language : en
Publisher: Lulu.com
Release Date : 2017-12-09
Rocketprep Ace Your Data Science Interview 300 Practice Questions And Answers Machine Learning Statistics Databases And More written by Zack Austin and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-09 with Computers categories.
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
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Author : Lewis Lin
language : en
Publisher:
Release Date : 2016-08-04
Pm Interview Workbook written by Lewis Lin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-04 with categories.
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
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Author : Vishwanathan Narayanan
language : en
Publisher: BPB Publications
Release Date : 2019-09-19
Data Science With Machine Learning written by Vishwanathan Narayanan and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-19 with Computers categories.
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
Heard In Data Science Interviews
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Author : Kal Mishra
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-10-03
Heard In Data Science Interviews written by Kal Mishra and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with categories.
A collection of over 650 actual Data Scientist/Machine Learning Engineer job interview questions along with their full answers, references, and useful tips
Cracking The Data Science Interview
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Author : Maverick Lin
language : en
Publisher:
Release Date : 2019-12-17
Cracking The Data Science Interview written by Maverick Lin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-17 with categories.
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.
The Art Of Statistics
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Author : David Spiegelhalter
language : en
Publisher: Hachette UK
Release Date : 2019-09-03
The Art Of Statistics written by David Spiegelhalter and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-03 with Mathematics categories.
In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems. Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.
Cracking The Data Science Interview
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Author : Leondra R. Gonzalez
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-02-29
Cracking The Data Science Interview written by Leondra R. Gonzalez and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-29 with Computers categories.
Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much more Key Features Acquire highly sought-after skills of the trade, including Python, SQL, statistics, and machine learning Gain the confidence to explain complex statistical, machine learning, and deep learning theory Extend your expertise beyond model development with version control, shell scripting, and model deployment fundamentals Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company. Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you’ll find tips on job hunting, resume writing, and creating a top-notch portfolio. You’ll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you'll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview. By the end of this interview guide, you’ll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.What you will learn Explore data science trends, job demands, and potential career paths Secure interviews with industry-standard resume and portfolio tips Practice data manipulation with Python and SQL Learn about supervised and unsupervised machine learning models Master deep learning components such as backpropagation and activation functions Enhance your productivity by implementing code versioning through Git Streamline workflows using shell scripting for increased efficiency Who this book is for Whether you're a seasoned professional who needs to brush up on technical skills or a beginner looking to enter the dynamic data science industry, this book is for you. To get the most out of this book, basic knowledge of Python, SQL, and statistics is necessary. However, anyone familiar with other analytical languages, such as R, will also find value in this resource as it helps you revisit critical data science concepts like SQL, Git, statistics, and deep learning, guiding you to crack through data science interviews.
500 Data Science Interview Questions And Answers
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Author : Vamsee Puligadda
language : en
Publisher: Vamsee Puligadda
Release Date :
500 Data Science Interview Questions And Answers written by Vamsee Puligadda and has been published by Vamsee Puligadda this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Get that job, you aspire for! Want to switch to that high paying job? Or are you already been preparing hard to give interview the next weekend? Do you know how many people get rejected in interviews by preparing only concepts but not focusing on actually which questions will be asked in the interview? Don't be that person this time. This is the most comprehensive Data Science interview questions book that you can ever find out. It contains: 500 most frequently asked and important Data Science interview questions and answers Wide range of questions which cover not only basics in Data Science but also most advanced and complex questions which will help freshers, experienced professionals, senior developers, testers to crack their interviews.
Data Science Decoded 300 Data Science Interview Q A
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Author : Rohit Dubey
language : en
Publisher: Independently Published
Release Date : 2024-12-04
Data Science Decoded 300 Data Science Interview Q A written by Rohit Dubey and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-04 with Study Aids categories.
Dear Readers, This book is designed for aspiring professionals who have mastered the tools and technologies of data science-like Python, machine learning, Tableau, and more-but sometimes struggle to articulate their knowledge during interviews. Rohit Dubey (Author) Why This Book Our goal has been simple: To provide clear, concise answers to frequently asked interview questions, ensuring you can impress interviewers with your understanding and confidence. Remember, interviews are not just about knowledge-they're about communication, clarity, and the confidence to showcase your expertise. Good luck with your interviews! Go crack that dream job! This book is your ultimate companion to cracking data science interviews. It combines technical mastery with strategic insights to help you: Master Core Skills: Learn Python, SQL, machine learning, and data visualization tailored for interview success. Outsmart Interviewers: Get cunning, smart answers to tackle tricky questions with confidence. Build Your Edge: Understand behavioral tactics and communication hacks that make you stand out. Be Job-Ready: With case studies, practice scenarios, and post-interview strategies, it's all you need to land your dream role.