Download or read book Innovative Interview Questions You ll Most Likely Be Asked written by Vibrant Publishers and published by Vibrant Publishers. This book was released on 2020-05-31 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: 250 Innovative Real-life scenario-based Interview Questions A perfect companion to stand ahead of the rest in today’s competitive job market Strategies to respond to interview questions Stand ahead of the rest in today’s competitive job market Does the thought of going blank in the middle of an interview scare you? Do you get goosebumps thinking what will I be asked in my next job interview? A job interview can be very scary and extremely exciting at the same time; candidates are always looking for new ways to put their best foot forward during an interview. Innovative Interview Questions You’ll Most Likely Be Asked is a great resource, inside there is a variety of interview questions you can expect to be asked at your next interview. Questions inside this book can help you answer questions asked in the following areas. 1) Leadership 2) Personality 3) Confidence 4) Character 5) Adaptiveness 6) Composure 7) Behavioral 8) Innovation 9) Problem Solving 10) Job Competency With all these you are all geared up for your next BIG INTERVIEW!
Download or read book HR Interview Questions You ll Most Likely Be Asked written by Vibrant Publishers and published by Vibrant Publishers. This book was released on 2020-05-09 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: 225 HR Interview Questions Strategies to respond to Interview Questions Real life SCENARIO-BASED questions NEW examples added HR Interview Questions You'll Most Likely Be Asked is a perfect companion to stand ahead of the rest in today’s competitive job market. An Interview is the most crucial of all processes of recruitment as it concludes with either an offer letter or a good-bye handshake. This book is ideal for you if you are preparing for THE interview. It covers the basic to the most infamous interview questions along with proven answers and tricks to mould them in line with your professional career. HR questions likely to be asked by an interviewer are segregated into 15 pertinent categories namely Creativity, Leadership, Teamwork, Deadlines and Time Management, Dedication and Attitude, Personality, Decision making, Goals, Creative Questions, Customer Service, Background and Experience, Business Skills and Knowledge, Communication, Job Searching and Scheduling and Knowledge of the company. With all these you are all geared up for your next big Interview! Includes a) 225 HR Interview Questions, Answers and proven strategies for getting hired b) Dozens of examples to respond to interview questions c) Includes most popular Real Life Scenario Questions
Download or read book Core Java Interview Questions You ll Most Likely Be Asked written by Vibrant Publishers and published by Vibrant Publishers. This book was released on 2021-09-10 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: ● Concept refresher for Java (includes Java 8 and Java 9) ● Ideal prep guide for coding interviews - technical and HR rounds ● Guidance for Resume building and Aptitude tests ● Includes Scenario based questions ● Developed and recommended by industry experts and placement experts Core Java Interview Questions You’ll Most Likely Be Asked: Second Edition is your perfect companion to stand above the rest in today’s competitive job market. With this guide, you learn or refresh Core Java fundamentals and principles necessary for cracking the coding interview and acquaint yourself with real-life interview questions and strategies to reach the solutions. The Resume building tutorial and the Aptitude tests equip you to present yourself better even before the job interview. This book is a complete course in itself to prepare for your dream Java job placement. About the Series This book is part of the Job Interview Questions series that has more than 75 books dedicated to interview questions and answers for different technical subjects and HR round related topics. This series of books is written by experienced placement experts and subject matter experts. Unlike comprehensive, textbook-sized reference guides, these books include only the required information for job search. Hence, these books are short, concise and ready-to-use by students and professionals.
Download or read book Hadoop BIG DATA Interview Questions You ll Most Likely Be Asked written by Vibrant Publishers and published by VIBRANT PUBLISHERS USA. This book was released on 2017-03-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hadoop BIG DATA Interview Questions You'll Most Likely Be Asked is a perfect companion to stand ahead above the rest in today's competitive job market.
Download or read book Big Data Hadoop Interview Guide written by Vishwanathan Narayanan and published by . This book was released on 2021 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: A power-packed guide with solutions to crack a Big data Hadoop interview, this book covers many interview questions and the best possible ways to answer them, and provides real-world examples that will help you understand the concepts of Big Data. --
Download or read book Parallel and Concurrent Programming in Haskell written by Simon Marlow and published by "O'Reilly Media, Inc.". This book was released on 2013-07-12 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network
Download or read book 1000 Big Data Hadoop 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 Big Data, Hadoop interview questions book that you can ever find out. It contains: 1000 most frequently asked and important Big Data, Hadoop interview questions and answers Wide range of questions which cover not only basics in Big Data, Hadoop but also most advanced and complex questions which will help freshers, experienced professionals, senior developers, testers to crack their interviews.
Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.
Download or read book Hadoop The Definitive Guide written by Tom White and published by "O'Reilly Media, Inc.". This book was released on 2012-05-10 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready to unlock the power of your data? With this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN). Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop’s data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster—or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop’s data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems
Download or read book How Smart Machines Think written by Sean Gerrish and published by MIT Press. This book was released on 2018-10-30 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing computer programs. The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today's machines so smart. Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine (which had an unexpected ending); and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world—and to play Atari video games better than humans. He explains Watson's famous victory on Jeopardy, and he looks at how computers play games, describing AlphaGo and Deep Blue, which beat reigning world champions at the strategy games of Go and chess. Computers have not yet mastered everything, however; Gerrish outlines the difficulties in creating intelligent agents that can successfully play video games like StarCraft that have evaded solution—at least for now. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing readers to many of the researchers involved, and keeping technical details to a minimum. Science and technology buffs will find this book an essential guide to a future in which machines can outsmart people.
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: 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 and text analysis, each new project builds on what you''ve learned in previous chapters. By the end of the bookcamp, you''ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technology Machine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that''s exactly what you''ll be doing in Machine Learning Bookcamp. about the book In Machine Learning Bookcamp you''ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you''ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You''ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you''re done working through these fun and informative projects, you''ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems. what''s inside Code fundamental ML algorithms from scratch Collect and clean data for training models Use popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images and text Deploy ML models to a production-ready environment about the reader For readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning.
Download or read book Too Big to Ignore written by Phil Simon and published by John Wiley & Sons. This book was released on 2013-03-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.
Download or read book Hadoop The Definitive Guide written by Tom White and published by "O'Reilly Media, Inc.". This book was released on 2015-03-25 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, youâ??ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. Youâ??ll learn about recent changes to Hadoop, and explore new case studies on Hadoopâ??s role in healthcare systems and genomics data processing. Learn fundamental components such as MapReduce, HDFS, and YARN Explore MapReduce in depth, including steps for developing applications with it Set up and maintain a Hadoop cluster running HDFS and MapReduce on YARN Learn two data formats: Avro for data serialization and Parquet for nested data Use data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer) Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop Learn the HBase distributed database and the ZooKeeper distributed configuration service
Download or read book The Culture of Big Data written by Mike Barlow and published by "O'Reilly Media, Inc.". This book was released on 2013-10-08 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology does not exist in a vacuum. In the same way that a plant needs water and nourishment to grow, technology needs people and process to thrive and succeed. Culture (i.e., people and process) is integral and critical to the success of any new technology deployment or implementation. Big data is not just a technology phenomenon. It has a cultural dimension. It's vitally important to remember that most people have not considered the immense difference between a world seen through the lens of a traditional relational database system and a world seen through the lens of a Hadoop Distributed File System.This paper broadly describes the cultural challenges that accompany efforts to create and sustain big data initiatives in an evolving world whose data management processes are rooted firmly in traditional data warehouse architectures.
Download or read book Apache Solr for Indexing Data written by Sachin Handiekar and published by Packt Publishing Ltd. This book was released on 2015-12-28 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr About This Book Learn about distributed indexing and real-time optimization to change index data on fly Index data from various sources and web crawlers using built-in analyzers and tokenizers This step-by-step guide is packed with real-life examples on indexing data Who This Book Is For This book is for developers who want to increase their experience of indexing in Solr by learning about the various index handlers, analyzers, and methods available in Solr. Beginner level Solr development skills are expected. What You Will Learn Get to know the basic features of Solr indexing and the analyzers/tokenizers available Index XML/JSON data in Solr using the HTTP Post tool and CURL command Work with Data Import Handler to index data from a database Use Apache Tika with Solr to index word documents, PDFs, and much more Utilize Apache Nutch and Solr integration to index crawled data from web pages Update indexes in real-time data feeds Discover techniques to index multi-language and distributed data in Solr Combine the various indexing techniques into a real-life working example of an online shopping web application In Detail Apache Solr is a widely used, open source enterprise search server that delivers powerful indexing and searching features. These features help fetch relevant information from various sources and documentation. Solr also combines with other open source tools such as Apache Tika and Apache Nutch to provide more powerful features. This fast-paced guide starts by helping you set up Solr and get acquainted with its basic building blocks, to give you a better understanding of Solr indexing. You'll quickly move on to indexing text and boosting the indexing time. Next, you'll focus on basic indexing techniques, various index handlers designed to modify documents, and indexing a structured data source through Data Import Handler. Moving on, you will learn techniques to perform real-time indexing and atomic updates, as well as more advanced indexing techniques such as de-duplication. Later on, we'll help you set up a cluster of Solr servers that combine fault tolerance and high availability. You will also gain insights into working scenarios of different aspects of Solr and how to use Solr with e-commerce data. By the end of the book, you will be competent and confident working with indexing and will have a good knowledge base to efficiently program elements. Style and approach This fast-paced guide is packed with examples that are written in an easy-to-follow style, and are accompanied by detailed explanation. Working examples are included to help you get better results for your applications.
Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
Download or read book Mastering the Interview 80 Essential Questions for Software Engineers written by Manjunath.R and published by Manjunath.R. This book was released on 2023-05-19 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Software Engineer's Guide to Acing Interviews: Software Interview Questions You'll Most Likely Be Asked "Mastering the Interview: 80 Essential Questions for Software Engineers" is a comprehensive guide designed to help software engineers excel in job interviews and secure their dream positions in the highly competitive tech industry. This book is an invaluable resource for both entry-level and experienced software engineers who want to master the art of interview preparation. This book provides a carefully curated selection of 80 essential questions that are commonly asked during software engineering interviews. Each question is thoughtfully crafted to assess the candidate's technical knowledge, problem-solving abilities, and overall suitability for the role. This book goes beyond just providing a list of questions. It offers in-depth explanations, detailed sample answers, and insightful tips on how to approach each question with confidence and clarity. The goal is to equip software engineers with the skills and knowledge necessary to impress interviewers and stand out from the competition. "Mastering the Interview: 80 Essential Questions for Software Engineers" is an indispensable guide that empowers software engineers to navigate the interview process with confidence, enhance their technical prowess, and secure the job offers they desire. Whether you are a seasoned professional or a recent graduate, this book will significantly improve your chances of acing software engineering interviews and advancing your career in the ever-evolving world of technology.
