500 Data Science Interview Questions And Answers

Author : Vamsee Puligadda
Publisher : Vamsee Puligadda
ISBN 13 :
Total Pages : pages
Book Rating : 4./5 ( download)

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Download or read book 500 Data Science Interview Questions and Answers written by Vamsee Puligadda and published by Vamsee Puligadda. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Vamsee Puligadda
Publisher : Vamsee Puligadda
ISBN 13 :
Total Pages : pages
Book Rating : 4./5 ( download)

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Download or read book 500 Data Analytics Interview Questions and Answers written by Vamsee Puligadda and published by Vamsee Puligadda. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Analytics interview questions book that you can ever find out. It contains: 500 most frequently asked and important Data Analytics interview questions and answers Wide range of questions which cover not only basics in Data Analytics but also most advanced and complex questions which will help freshers, experienced professionals, senior developers, testers to crack their interviews.

Author : Kal Mishra
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781727287325
Total Pages : 240 pages
Book Rating : 4.20/5 ( download)

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Download or read book Heard in Data Science Interviews written by Kal Mishra and published by Createspace Independent Publishing Platform. This book was released on 2018-10-03 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of over 650 actual Data Scientist/Machine Learning Engineer job interview questions along with their full answers, references, and useful tips

Author : Maverick Lin
Publisher :
ISBN 13 : 9781710680133
Total Pages : 120 pages
Book Rating : 4.3X/5 ( download)

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Download or read book Cracking the Data Science Interview 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. 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.

Author : Vamsee Puligadda
Publisher : Vamsee Puligadda
ISBN 13 :
Total Pages : 135 pages
Book Rating : 4./5 ( download)

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Download or read book 500 Machine Learning (ML) Interview Questions and Answers written by Vamsee Puligadda and published by Vamsee Puligadda. This book was released on with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Machine Learning (ML) interview questions book that you can ever find out. It contains: 500 most frequently asked and important Machine Learning (ML) interview questions and answers Wide range of questions which cover not only basics in Machine Learning (ML) but also most advanced and complex questions which will help freshers, experienced professionals, senior developers, testers to crack their interviews.

Author : Morgan Peter
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781976189128
Total Pages : 68 pages
Book Rating : 4.28/5 ( download)

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Download or read book Most Commonly Asked Data Science Questions and Answers written by Morgan Peter and published by Createspace Independent Publishing Platform. This book was released on 2017-09-07 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Emily Robinson
Publisher : Manning Publications
ISBN 13 : 1617296244
Total Pages : 352 pages
Book Rating : 4.46/5 ( download)

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Download or read book Build a Career in Data Science written by Emily Robinson and published by Manning Publications. This book was released on 2020-03-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Alexey Grigorev
Publisher : Simon and Schuster
ISBN 13 : 1638351058
Total Pages : 470 pages
Book Rating : 4.54/5 ( download)

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Download or read book Machine Learning Bookcamp written by Alexey Grigorev and published by Simon and Schuster. This book was released on 2021-11-23 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application. Summary In Machine Learning Bookcamp you will: Collect and clean data for training models Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images Deploy ML models to a production-ready environment The only way to learn is to practice! In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Master key machine learning concepts as you build actual projects! Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice. This book delivers all three! About the book Machine Learning Bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you’ll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service. You’ll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. Dig in, get your hands dirty, and have fun building your ML skills! What's inside Collect and clean data for training models Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow Deploy ML models to a production-ready environment About the reader Python programming skills assumed. No previous machine learning knowledge is required. About the author Alexey Grigorev is a principal data scientist at OLX Group. He runs DataTalks.Club, a community of people who love data. Table of Contents 1 Introduction to machine learning 2 Machine learning for regression 3 Machine learning for classification 4 Evaluation metrics for classification 5 Deploying machine learning models 6 Decision trees and ensemble learning 7 Neural networks and deep learning 8 Serverless deep learning 9 Serving models with Kubernetes and Kubeflow

Author : Kevin Huo
Publisher :
ISBN 13 : 9780578973838
Total Pages : 290 pages
Book Rating : 4.39/5 ( download)

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Download or read book Ace the Data Science Interview written by Kevin Huo and published by . This book was released on 2021 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Lucas Roberts
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781978322097
Total Pages : 50 pages
Book Rating : 4.97/5 ( download)

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Download or read book The Ultimate Guide to Data Science Interview Questions and Answers written by Lucas Roberts and published by Createspace Independent Publishing Platform. This book was released on 2017-10-16 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Ultimate Guide To Data Science Interview Questions And Answers Best Data Science Questions and Answers to Champ Your Data Science Interview and Get Your Dream Data Scientist Job Data Scientist Job is one of the most prestigious and lucrative job that can earn you lost of money and build your career massively, it is however not a simple career to go into. A good data scientist should possess qualifications in Engineering and mathemetics/statistics, but is does no end at these qualifications, a data scientist should undergo trainings and must be able to answer several interview questions. Getting acquitted with these interview questions and answers and being able to communicate and apply them practically at any point in time portraits you as a professional, as well as to impress your interviewer or potential employers. This book contains the best data science interview questions and answers to make you champ your data science interview with high grades. Get this book and get that your dream lucrative job now.