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Ace The Data Science Interview


Ace The Data Science Interview
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Ace The Data Science Interview


Ace The Data Science Interview
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Author : Kevin Huo
language : en
Publisher:
Release Date : 2021

Ace The Data Science Interview written by Kevin Huo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Big data categories.




Ace The Data Science Interview


Ace The Data Science Interview
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Author : Ai Publishing
language : en
Publisher: AI Publishing LLC
Release Date : 2024-01-28

Ace The Data Science Interview written by Ai Publishing and has been published by AI Publishing LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-28 with Computers categories.


Ace the Data Science Interview: Unveil The Secrets of 100 Questions from the World's Leading Tech Giants Data Science stands at the forefront of innovation in the tech industry, driving profound decisions and revolutionizing the way companies operate. "Ace the Data Science Interview" is your definitive guide to mastering the interview process at the most prestigious tech firms around the globe. This comprehensive manual demystifies the daunting interview experience, presenting you with a curated collection of 100 real questions sourced from interviews at FAANG companies and other tech leaders. Each question is accompanied by in-depth explanations, strategic approaches, and clear, executable Python code examples, ensuring you have the tools to tackle any challenge with confidence. Structured to mirror the intensity and depth of actual interviews, this book covers key topics such as: Statistics and Probability: Solidify your understanding of foundational concepts and learn to articulate the statistical reasoning behind real-world data phenomena. Machine Learning: From the nuances of algorithm selection to the complexities of model tuning, you'll gain insights into constructing and dissecting robust machine learning systems. Programming and Data Manipulation: Hone your Python skills through coding challenges that range from data wrangling with Pandas to algorithmic problems that test your logical prowess. Behavioral Questions: Go beyond technical knowledge with advice on conveying soft skills, problem-solving methodologies, and collaboration techniques that are crucial for team integration. Case Studies and Problem Solving: Apply your analytical skills to business-centric case studies and learn to leverage data in crafting strategic solutions to hypothetical business scenarios. Advanced Technical Topics: Dive deep into discussions on big data, neural networks, and cutting-edge advancements that are shaping the future of data science. Whether you're a budding analyst, an aspiring data scientist, or a seasoned professional, "Ace the Data Science Interview" is designed to scale with you, providing value at every stage of your career. This book isn't just about passing an interview-it's about defining a path to success in the dynamic landscape of data science. Prepare to embark on a journey of learning, self-discovery, and triumph. With this book in hand, you're not just ready for your next interview; you're equipped to ace it.



Be The Outlier


Be The Outlier
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Author : Shrilata Murthy
language : en
Publisher:
Release Date : 2020-07-27

Be The Outlier written by Shrilata Murthy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-27 with categories.


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 field of data science has been exploding, there didn't appear to be a comprehensive resource to help data scientists navigate the interview process... until now. In Be the Outlier: How to Ace Data Science Interviews, data scientist Shrilata Murthy covers all aspects of a data science interview in today's industry. Murthy combines her own experience in the job market with expert insight from data scientists with Google, Facebook, Amazon, NASA, Aetna, MBB & Big 4 consulting firms, and many more. In this book, you'll learn... the foundational knowledge that is key to any data science interview the 100-Word Story framework for writing a stellar resume what to expect from a variety of interview styles (take-home, presentation, case study, etc.), and actionable ways to differentiate yourself from your peers. By using real-world examples, practice questions, and sample interviews, Murthy has created an easy-to-follow guide that will help you crack any data science interview. After reading Be the Outlier, get ready to land your dream job in data science.



Rocketprep Ace Your Data Science Interview 300 Practice Questions And Answers Machine Learning Statistics Databases And More


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 Databases 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.



Cracking The Data Science Interview


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.



500 Data Science Interview Questions And Answers


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.


Knowledge for Free... 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.



Build A Career In Data Science


Build A Career In Data Science
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Author : Emily Robinson
language : en
Publisher: Manning Publications
Release Date : 2020-03-24

Build A Career In Data Science written by Emily Robinson and has been published by Manning Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-24 with Computers categories.


Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder



Most Commonly Asked Data Science Questions And Answers


Most Commonly Asked Data Science Questions And Answers
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Author : Morgan Peter
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-09-07

Most Commonly Asked Data Science Questions And Answers written by Morgan Peter 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 2017-09-07 with categories.


MOST COMMONLY ASKED DATA SCIENCE INTERVIEW QUESTIONS AND ANSWERS Best Data Science Interview Questions and Answers to Ace your Data Science Interview and Get your Data Scientist Job Data Science is one of the most lucrative job which you can earn six figures and build a career on, but it is also not an easy field to get into, Apart from the required qualification in mathematics/statistics or engineering, a data scientist would also require necessary training as well as be able to answer data science interview questions and answers These data scientist job interview questions and answers will allow you to be confident when you are going for a data scientist interview so as to impress potential employers by being able to master data science as well as being able to show how data science can be practically applied in the society The data interview questions and answers shown in this book are the top and most commonly asked data science questions and answers ensuring that you pass your data science job and come out in flying colour Order this Book Today and get your dream job



Heard In Data Science Interviews


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



Deep Learning Interviews


Deep Learning Interviews
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Author : Shlomo Kashani
language : en
Publisher:
Release Date : 2020-12-09

Deep Learning Interviews written by Shlomo Kashani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-09 with categories.


The book's contents is a large inventory of numerous topics relevant to DL job interviews and graduate level exams. That places this work at the forefront of the growing trend in science to teach a core set of practical mathematical and computational skills. It is widely accepted that the training of every computer scientist must include the fundamental theorems of ML, and AI appears in the curriculum of nearly every university. This volume is designed as an excellent reference for graduates of such programs.