Artificial Intelligence Interview Questions You’ll…

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Author : Vamsee Puligadda
Genre : Computers

Summary : 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 Artificial Intelligence (AI) interview questions book that you can ever find out. It contains: 500 most frequently asked and important Artificial Intelligence (AI) interview questions and answers Wide range of questions which cover not only basics in Artificial Intelligence (AI) but also most advanced and complex questions which will help freshers, experienced professionals, senior developers, testers to crack their interviews.

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Author : Vibrant Publishers
Genre : Computers

Summary : Artificial Intelligence Interview Questions You'll Most Likely Be Asked is a perfect companion to stand ahead above the rest in today's competitive job market.

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Author : Vamsee Puligadda
Genre : Computers

Summary : 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.

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Author : Nitin Suri
Genre :

Summary : "A breakthrough in machine learning would be worth ten Microsofts." -Bill Gates Despite being one of the hottest disciplines in the Tech industry right now, Artificial Intelligence and Machine Learning remain a little elusive to most.The erratic availability of resources online makes it extremely challenging for us to delve deeper into these fields. Especially when gearing up for job interviews, most of us are at a loss due to the unavailability of a complete and uncondensed source of learning. Cracking the Machine Learning Interview Equips you with 225 of the best Machine Learning problems along with their solutions. Requires only a basic knowledge of fundamental mathematical and statistical concepts. Assists in learning the intricacies underlying Machine Learning concepts and algorithms suited to specific problems. Uniquely provides a manifold understanding of both statistical foundations and applied programming models for solving problems. Discusses key points and concrete tips for approaching real life system design problems and imparts the ability to apply them to your day to day work. This book covers all the major topics within Machine Learning which are frequently asked in the Interviews. These include: Supervised and Unsupervised Learning Classification and Regression Decision Trees Ensembles K-Nearest Neighbors Logistic Regression Support Vector Machines Neural Networks Regularization Clustering Dimensionality Reduction Feature Extraction Feature Engineering Model Evaluation Natural Language Processing Real life system design problems Mathematics and Statistics behind the Machine Learning Algorithms Various distributions and statistical tests This book can be used by students and professionals alike. It has been drafted in a way to benefit both, novices as well as individuals with substantial experience in Machine Learning. Following Cracking The Machine Learning Interview diligently would equip you to face any Machine Learning Interview.

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Author : Mo Gawdat
Genre : Computers

Summary : A Sunday Times Business Book of the Year. Scary Smart will teach you how to navigate the scary and inevitable intrusion of Artificial Intelligence, with an accessible blueprint for creating a harmonious future alongside AI. From Mo Gawdat, the former Chief Business Officer at Google [X] and bestselling author of Solve for Happy. Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a book for you. Because, believe it or not, you are the only one that can fix it. – Mo Gawdat Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predict outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong and cause harm? The answer is us: the human beings who write the code and teach AI to mimic our behaviour. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love, and the planet itself. 'No one ever regrets reading anything Mo Gawdat has written.' – Emma Gannon, Sunday Times bestselling author of The Multi-Hyphen Method and host of award-winning podcast Ctrl Alt Delete

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Author : Simplilearn
Genre : Computers

Summary : This AI beginner’s guide aims to take the readers through the current AI landscape, provides the key fundamentals and terminologies of AI, and offers practical guidelines on why and how you can be a part of the AI revolution, and also the ways in which you can scale up your AI career.

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Author : Shlomo Kashani
Genre :

Summary : 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.

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Author : Luca Vignali
Genre :

Summary : In this book, we imagine conducting an interview with artificial intelligence (AI), asking it to answer questions about life, health, trivia, and unsolved mysteries. AI is a cutting-edge artificial intelligence capable of providing accurate and up-to-date information on a wide range of topics. In the interview, the AI will tell us about life and death, health and well-being, the mysteries of the universe and the secrets of history. It will tell us about the great advances in science and technology, and will give us a glimpse into the future, imagining what life could be like in the coming decades. Don't miss this unique opportunity to discover answers to questions you've always wondered about, and learn more about the world around us through the eyes of cutting-edge AI.

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Author : Luis Jurado
Genre :

Summary : "From Zero to Offer" is the go-to playbook for any Product Manager interview, specially designed to assist aspiring AI & ML Product Managers. It navigates you through the process of securing a sought-after AI Product Manager job offer in the rapidly evolving field of artificial intelligence and machine learning. This comprehensive manual provides a thorough view of the dynamic product management landscape and charts a course for effectively tackling the challenging AI & ML industry interviews. The book starts by detailing the unique role of an AI & ML Product Manager. It meticulously outlines the specific blend of skills required to succeed in this versatile role. The next section delves into AI and ML fundamentals, empowering candidates with the knowledge necessary to answer industry-specific interview questions with confidence. Here are some exceptional benefits of the "From Zero to Offer - The AI & ML Product Manager Interview Playbook" Comprehensive Coverage: The book offers a broad collection of over 60 real-world Product Manager interview questions from leading tech companies. Every question comes paired with illustrative answers and comprehensive explanations, preparing candidates to understand the thought process and strategies needed for similar situations. Actionable Interview Preparation: It includes a detailed step-by-step guide for efficient interview preparation, assisting you in highlighting your strengths, managing your weaknesses, and demonstrating your knowledge, skills, and experience in a compelling manner. CV Crafting Guide: The playbook provides practical advice on creating an enticing CV, an essential document that can make or break your chances of landing an AI Product Manager job interview. Discover how to present your AI & ML-related experience, skills, and achievements in an engaging and persuasive manner. First 90 Days Strategy: Beyond just securing a job offer, the book also provides a blueprint for your initial 90 days as an AI & ML Product Manager. Get hands-on tips on building credibility, setting achievable goals, and quickly integrating into your new team. Versatile Use: This playbook serves not just aspiring AI & ML Product Managers but also as a valuable resource for hiring managers and teams seeking to understand what to look for in a successful AI Product Manager candidate. Whether you're a seasoned Product Manager looking for a career transition into AI and ML or a rising professional aiming to break into this dynamic field, "From Zero to Offer" will guide you through the interview process with ease. It's not merely about getting a job offer; it's about preparing to excel in the future of product management. Grab your copy now and take the first step towards your dream AI Product Manager job.

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Author : Sebastian Raschka
Genre : Computers

Summary : Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data In Detail Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.