Generative Ai Fundamentals And Interview Guide

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Generative Ai Fundamentals And Interview Guide

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Author : Navin Manaswi
language : en
Publisher: BFC Publications
Release Date : 2025-01-07

Generative Ai Fundamentals And Interview Guide written by Navin Manaswi and has been published by BFC Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Fiction categories.

"Generative AI Fundamentals and Interview Preparation" is your gateway to mastering the exciting world of Generative AI and Large LanguageModels. A comprehensive guide for IT professionals, data scientists, software engineers, solution architects, and AI researchers, this book covers foundational to advanced Generative AI concepts while preparing you for interviews in this dynamic field. Explore key interview questions, delve into the mechanics of Transformers, BERT, Llama and GPT models, and learn to build cutting-edge LLM applications using Hugging Face. Gain insights into embeddings, vector databases, fine-tuning techniques, basic and advanced RAG, LangChain, LlamaIndex, Multimodal AI and evaluation metrics to master the transformative power of AI

Ai Fundamentals Courseware

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Author : Reinier van den Biggelaar
language : en
Publisher: Van Haren
Release Date : 2023-09-26

Ai Fundamentals Courseware written by Reinier van den Biggelaar and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Architecture categories.

The AI Fundamentals courseware offers an AI training course designed for professionals in business or government environments who want to understand the benefits and applications of AI in their work environment. This course covers topics such as data management for AI, building and assessing AI applications, ethics and trustworthiness, and organizational success factors for enabling humans and machines to work together. The course addresses key questions such as “Where does Data Management end and AI application begin?” from a management perspective. Subjects covered include the applications and benefits of AI, data and robots, predictions and algorithms, machine and deep learning, building and reviewing AI applications, data management for AI, ethics and trustworthiness, organizational success factors for helping humans and machines work together, and the future of AI. This courseware educates for three certifications within it’s three-day combined program. It’s also possible to cut the material in pieces for a module teaching approach. The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. This AI for Business and Government certification (the AI Brevet) which was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence. EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.

Evolution Of Management Practice

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Author : J. Mark Munoz
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-02-17

Evolution Of Management Practice written by J. Mark Munoz and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-17 with Business & Economics categories.

The practice of management has experienced significant changes in recent years. Advances in technology, globalization, cultural shifts, competitive pressures, and the unpredictability of a fast-paced business environment have presented new challenges as well as opportunities for today’s managers. Evolution of Management Practice has assembled the viewpoints of leading academics, management practitioners, and business consultants in order to uncover the most effective approaches pertaining to planning, leading, organizing and controlling. The chapters delve into the challenges of digital transformations, the use of AI, sustainability issues, supply chain changes and the need for design thinking and new human resource practices. This book is an authoritative reference for professionals, consultants, policymakers and students and scholars of management, leadership, entrepreneurship and economics who realize that traditional management approaches need to be refined and reinvented to suit contemporary times. It will guide the practice of management for many years to come.

Digital Health Ai And Generative Ai In Healthcare

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Author : Terry Adirim
language : en
Publisher: Springer Nature
Release Date : 2025-04-25

Digital Health Ai And Generative Ai In Healthcare written by Terry Adirim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Technology & Engineering categories.

The purpose of this title is to provide a comprehensive foundation for all medical professionals and healthcare-professions students in understanding Artificial Intelligence (AI). With the advent of generative AI, including the release of Open AI’s ChatGPT in 2022, the world entered a new age of rapid advancements in technology that will significantly change the way clinicians practice medicine, operate healthcare institutions, and conduct research. At the heart of this penetrating book is the idea that medical schools, medical training programs and other health education institutions must undertake a key role in developing AI literacy for clinicians across the spectrum of medical education that includes all health professions. Moreover, assert the authors, AI literacy should be incorporated within medical school curriculums as a core competency, as well as into graduate medical education training programs and continuing medical education courses. This timely and easy-to-read guide offers a wide range of chapters that discuss the core concepts and issues relating to AI in medicine, including a basic understanding of algorithms, machine learning, large language models and natural language processing, the limits and pitfalls of AI, ethical and legal issues, the evolving regulatory landscape around AI, as well as how AI is currently being used in healthcare, to name just several compelling topics. Additionally, AI technologies will change how medical school curriculums are delivered and how student competencies are assessed, maintain the authors. Therefore, medical educators will not only need to rethink how and what medical information is conveyed to students during formal instruction, but also must be prepared for AI-powered programs being used to assess students and trainees for the purpose of licensure and board certification. A timely and soon-to-be gold standard resource in the field, Digital Health, AI, and Generative AI: A Concise, Practical Guide for Clinicians will be of great interest to medical professionals, trainees, administrators, policymakers, and anyone interested in the fast-evolving intersection of digital technologies and healthcare.

Fundamentals Of Human Resource Management

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Author : Susan L. Verhulst
language : en
Publisher: John Wiley & Sons
Release Date : 2024-09-24

Fundamentals Of Human Resource Management written by Susan L. Verhulst and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-24 with Business & Economics categories.

Build the foundational knowledge and skills needed to succeed in the quickly evolving environment of HR, updated with new content designed to strengthen student comprehension and engagement Fully revised and updated with input from practicing HR professionals and teaching faculty, Fundamentals of Human Resource Management provides a concise and student-friendly introduction to the field of Human Resource Management (HRM). Now in its fifteenth edition, this popular undergraduate textbook offers thorough coverage of all key topics and competencies recommended by the Society of Human Resource Management (SHRM) and the Human Resource Certification Institute (HRCI). With an engaging and relatable narrative style, Fundamentals of Human Resource Management guides students through essential HRM topics such as human resource functions, employee relations, talent acquisition, training and development, health and safety, performance management, strategy and planning, legal and regulatory considerations, and more. Each chapter is filled with illustrative examples and hands-on activities based on current and emerging issues in the HR world. Acclaimed for its focused, systematic, and practical approach, Fundamentals of Human Resource Management, Fifteenth Edition remains an ideal textbook for undergraduate courses on core HRM concepts.

Deep Learning Interviews

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Author : Shlomo Kashani
language : en
Publisher:
Release Date : 2020-12-03

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 2020-12-03 with categories.

Deep Learning Interviews is home to hundreds of fully-solved problems, from a wide range of key topics in AI. It is designed to both rehearse interview or exam-specific topics and provide machine learning MSc/PhD students, and those awaiting an interview a well-organized overview of the field. The problems it poses are tough enough to cut your teeth on and to dramatically improve your skills-but they're framed within thought-provoking questions and engaging stories.

Deep Learning With Applications Using Python

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Author : Navin Kumar Manaswi
language : en
Publisher: Apress
Release Date : 2018-04-04

Deep Learning With Applications Using Python written by Navin Kumar Manaswi and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-04 with Computers categories.

Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning. This book covers convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn. What You Will Learn Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn. Use face recognition and face detection capabilities Create speech-to-text and text-to-speech functionality Engage with chatbots using deep learning Who This Book Is For Data scientists and developers who want to adapt and build deep learning applications.

Ios Development For Jobseekers

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Author : Corbin L. Miller
language : en
Publisher: BPB Publications
Release Date : 2025-04-18

Ios Development For Jobseekers written by Corbin L. Miller and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Computers categories.

DESCRIPTION iOS development is a highly sought-after skill in today's tech industry, and this book, iOS Development for Jobseekers, is your direct pathway to mastering it and landing your dream job. It provides a solid foundation in Swift, Apple's SDKs, and essential architectural patterns, ensuring you are well-prepared for any iOS development interview. Through structured chapters, readers will explore essential Apple frameworks, best coding practices, optimization strategies, debugging techniques, and career growth strategies to stand out in the increasingly competitive job market. The book examines advanced topics like ARKit, Core ML, app extensions, and master debugging with LLDB and Instruments. Furthermore, it details testing strategies, deployment, and corporate development environments, ensuring you understand the entire iOS development lifecycle from start to finish. By the end of this book, you will be prepared to develop, build, test, deploy, and scale mobile applications while gaining the expertise needed to secure a job in the tech industry. With extensive code examples, technical insights, and career-focused advice, iOS Development for Jobseekers serves as an essential resource for success in mobile development. WHAT YOU WILL LEARN ● Master Swift and Xcode to build professional iOS applications. ● Develop, test, and debug apps for real-world mobile users. ● Understand UI/UX design principles for iOS app interfaces. ● Implement databases, APIs, and cloud services in apps. ● Optimize app performance and ensure smooth user experiences. ● Prepare for job interviews and succeed in the mobile industry. WHO THIS BOOK IS FOR This book is for aspiring iOS developers, including programmers, students, and career changers, seeking to build professional mobile apps. Basic programming knowledge is helpful, but no prior iOS experience is required. TABLE OF CONTENTS Section 1: Core Knowledge 1. Swift Fundamentals 2. Apple SDKs 3. Architecture and Design Patterns 4. Application Lifecycle Section 2: Development Arena 5. User Interface Design 6. User Input and Gestures 7. Concurrent Programming 8. Data Persistence 9. Networking and Full Stack Development 10. Security and Data Protection 11. Notifications and Processing 12. Memory Management 13. Performance Optimization 14. Core Animation and Graphics 15. Audio and Video Processing 16. Other Useful APIs 17. Error Handling Section 3: Keys for Advanced Knowledge 18. Accessibility and Internationalization 19. App Extensions 20. Augmented Reality and Machine Learning 21. Debugging Tools and Techniques 22. Mobile Application Testing Section 4: The Business of Mobile Apps 23. Corporate Application Development Environments 24. App Deployment and Distribution 25. The Future of Mobile Development Section 5: Advanced Proficiency 26. Mastering the Interview 27. Resources and Advancement

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.

Generative Adversarial Networks With Industrial Use Cases

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Author : Navin K Manaswi
language : en
Publisher: BPB Publications
Release Date : 2020-03-04

Generative Adversarial Networks With Industrial Use Cases written by Navin K Manaswi and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-04 with Computers categories.

Best Book on GAN Ê DESCRIPTIONÊ This book aims at simplifying GAN for everyone. This book is very important for machine learning engineers, researchers, students, professors, and professionals. Universities and online course instructors will find this book very interesting for teaching advanced deep learning, specially Generative Adversarial Networks(GAN). Industry professionals, coders, and data scientists can learn GAN from scratch. They can learn how to build GAN codes for industrial applications for Healthcare, Retail, HRTech, EduTech, Telecom, Media, and Entertainment. Mathematics of GAN is discussed and illustrated. KL divergence and other parts of GAN are illustrated and discussed mathematically. This book teaches how to build codes for pix2pix GAN, DCGAN, CGAN, styleGAN, cycleGAN, and many other GAN. Machine Learning and Deep Learning Researchers will learn GAN in the shortest possible time with the help of this book. Ê KEY FEATURESÊÊ - Understanding the deep learning landscape and GANÕs relevance - Learning basics of GAN - Learning how to build GAN from scratch - Understanding mathematics and limitations of GAN - Understanding GAN applications for Retail, Healthcare, Telecom, Media and EduTech - Understanding the important GAN papers such as pix2pixGAN, styleGAN, cycleGAN, DCGAN - Learning how to build GAN code for industrial applications - Understanding the difference between varieties of GAN WHAT WILL YOU LEARNÊ _ÊMachine Learning Researchers would be comfortable in building advanced deep learning codes for Industrial applications _ÊData Scientists would start solving very complex problems in deep learning _ÊStudents would be ready to join an industry with these skills _ÊAverage data engineers and scientists would be able to develop complex GAN codes to solve the toughest problems in computer vision Ê WHO THIS BOOK IS FORÊÊ This book is perfect for machine learning engineers, data scientists, data engineers, deep learning professionals, and computer vision researchers. This book is also very useful for medical imaging professionals, autonomous vehicles professionals, retail fashion professionals, media & entertainment professionals, edutech and HRtech professionals. Professors and Students working in machine learning, deep learning, computer vision, and industrial applications would find this book extremely useful. TABLE OF CONTENTS 1. Basics of GAN 2. Introduction 3. Problem with GANÊ 4. Famous Types Of GANs