Ai Assisted Coding
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Ai And Machine Learning For Coders
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Author : Laurence Moroney
language : en
Publisher: O'Reilly Media
Release Date : 2020-10-01
Ai And Machine Learning For Coders written by Laurence Moroney and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-01 with Computers categories.
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
Coding With Ai
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Author :
language : en
Publisher: StoryBuddiesPlay
Release Date : 2024-11-09
Coding With Ai written by and has been published by StoryBuddiesPlay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-09 with Computers categories.
"Coding with AI: A Beginner's Guide to AI-Assisted Programming" is your essential roadmap to navigating the exciting world of AI-powered software development. From mastering productivity-boosting techniques to understanding the ethical implications of AI in coding, this comprehensive guide equips you with the knowledge and skills needed to thrive in the rapidly evolving landscape of AI-assisted programming. Whether you're a seasoned developer or just starting your coding journey, this book will help you harness the power of AI to enhance your programming capabilities and prepare for the future of software development. AI-assisted programming, machine learning in coding, software development automation, AI coding tools, natural language programming, ethical AI coding, future of programming, AI code generation, developer productivity, AI in software engineering
Ai Assisted Coding
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Author : Michael Kofler
language : en
Publisher:
Release Date : 2025
Ai Assisted Coding written by Michael Kofler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Ai Assisted Programming
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Author : Tom Taulli
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-04-10
Ai Assisted Programming written by Tom Taulli and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-10 with Computers categories.
Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Gemini, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer). You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another. This book examines: The core capabilities of AI-based development tools Pros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhisperer Ways to use ChatGPT, Gemini, Claude, and other generic LLMs for coding Using AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testing Prompt engineering for development Using AI-assisted programming for tedious tasks like creating regular expressions, starter code, object-oriented programming classes, and GitHub Actions How to use AI-based low-code and no-code tools, such as to create professional UIs
Applied Artificial Intelligence
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Author : Swati V. Shinde
language : en
Publisher: CRC Press
Release Date : 2023-09-29
Applied Artificial Intelligence written by Swati V. Shinde and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-29 with Technology & Engineering categories.
This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing. It will also contribute to biosensors and secure systems,and related research. Applied Artificial Intelligence: A Biomedical Perspective begins by detailing recent trends and challenges of applied artificial intelligence in biomedical systems. Part I of the book presents the technological background of the book in terms of applied artificial intelligence in the biomedical domain. Part II demonstrates the recent advancements in automated medical image analysis that have opened ample research opportunities in the applications of deep learning to different diseases. Part III focuses on the use of cyberphysical systems that facilitates computing anywhere by using medical IoT and biosensors and the numerous applications of this technology in the healthcare domain. Part IV describes the different signal processing applications in the healthcare domain. It also includes the prediction of some human diseases based on the inputs in signal format. Part V highlights the scope and applications of biosensors and security aspects of biomedical images. The book will be beneficial to the researchers, industry persons, faculty, and students working in biomedical applications of computer science and electronics engineering. It will also be a useful resource for teaching courses like AI/ML, medical IoT, signal processing, biomedical engineering, and medical image analysis.
Artificial Intelligence In Education
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Author : Alexandra I. Cristea
language : en
Publisher: Springer Nature
Release Date : 2025-07-17
Artificial Intelligence In Education written by Alexandra I. Cristea and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-17 with Computers categories.
This six-volume set LNAI 15877-15882 constitutes the refereed proceedings of the 26th International Conference on Artificial Intelligence in Education, AIED 2025, held in Palermo, Italy, during July 22–26, 2025. The 130 full papers and 129 short papers presented in this book were carefully reviewed and selected from 711 submissions. The conference program comprises seven thematic tracks: Track 1: AIED Architectures and Tools Track 2: Machine Learning and Generative AI: Emphasising datadriven Track 3: Learning, Teaching, and Pedagogy Track 4: Human-Centred Design and Design-Based Research Track 5: Teaching AI Track 6: Ethics, Equity, and AIED in Society Track 7: Theoretical Aspects of AIED and AI-Based Modelling for Education
Ai Applications And Pedagogical Innovation
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Author : Wang, Viktor
language : en
Publisher: IGI Global
Release Date : 2025-07-11
Ai Applications And Pedagogical Innovation written by Wang, Viktor and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Education categories.
AI is rapidly transforming education, offering more opportunities for pedagogical innovation. By integrating AI tools and systems into teaching and learning environments, educators can now personalize instructions and enhance student engagement. As educational institutions continue to explore the potential of AI, it becomes increasingly important to understand how these innovations can be harnessed to improve learning outcomes and reshape traditional pedagogical models. AI Applications and Pedagogical Innovation explores the transformation of AI in the educational field. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as AI, education, and technology, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more.
The Future Of Software Engineering And Data Analysis How Cloud Based Ai Is Leading The Change
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Author : Koteswararao Dondapati
language : en
Publisher: Navi International Book Publication house
Release Date : 2023-11-07
The Future Of Software Engineering And Data Analysis How Cloud Based Ai Is Leading The Change written by Koteswararao Dondapati and has been published by Navi International Book Publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-07 with Computers categories.
Advances in cloud-based artificial intelligence (AI) are the main force behind the significant changes occurring in the fields of software engineering and data analysis. Traditional approaches are being redefined by this change, which also makes it possible for businesses to improve their operations by using complex algorithms and enormous processing resources. Software developers and data analysts can work together more successfully across borders because to cloud-based AI's scalability, flexibility, and accessibility. The capacity of cloud-based AI to handle and analyze massive information in real time, resulting in more informed decision-making, is one of its main advantages. Cloud-hosted machine learning models may continually learn from incoming data, increasing their prediction power and speeding up the time it takes to get insight. Teams may test out novel ideas without being constrained by on-premises technology because to this flexibility, which promotes an innovative culture. Additionally, cloud platforms provide a wide range of services and technologies that simplify the development lifecycle, such as integrated development environments (IDEs) and automated data processing pipelines. In addition to increasing efficiency, these resources democratise access to cutting-edge technology, allowing smaller businesses to compete with bigger ones. Workforce dynamics are also changing as a result of cloud-based AI's incorporation into data analysis and software engineering. Professionals may concentrate on higher-level strategic efforts, which foster creativity and problem-solving, while regular work become automated. But this change calls for a change in skill sets, highlighting the need of lifelong learning and adjustment to new tools and technology. In conclusion, cloud-based AI is driving a major shift in data analysis and software engineering that is marked by increased productivity, increased teamwork, and technological democratization. The future holds not just better performance but also a redesigned environment where creativity flourishes as long as organizations continue to accept these changes.
Ai Augmented Software Developer
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Author : HEBooks
language : en
Publisher: Hebooks
Release Date :
Ai Augmented Software Developer written by HEBooks and has been published by Hebooks this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
You're a developer. Time’s short. Expectations are high. AI is here — and changing the game. Are you still coding like it's 2010 while the future passes you by? AI-Augmented Software Developer gives you the unfair advantage every modern dev needs: - Write code faster without sacrificing quality. - Spot bugs before they crash your app. - Master prompt engineering, not just syntax. - Stay in control — don’t get replaced, don’t go all-in blindly. This isn’t about hype. It’s about survival — and success — in a world where AI is already in your IDE. Buy this book if you want to stay sharp, fast, and ahead of the curve. Don’t just write code. Write better code — faster — with AI.
How To Crack Tech Interviews In The Era Of Ai
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Author : DR. SOHIT AGARWAL
language : en
Publisher: SRJX RESEARCH AND INNOVATION LAB LLP
Release Date : 2025-06-05
How To Crack Tech Interviews In The Era Of Ai written by DR. SOHIT AGARWAL and has been published by SRJX RESEARCH AND INNOVATION LAB LLP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-05 with Business & Economics categories.
ROADMAP TO THIS BOOK The structure of this book is carefully crafted to guide you step-by-step through the modern interview journey: Section I: The New Landscape of Tech Hiring This section helps you understand how hiring processes have changed in the age of AI. From how resumes are parsed by ATS bots to how AI tools are used in assessments, it lays the foundation for modern-day interview expectations. Section II: Cracking the Core – Problem Solving & Data Structures This section dives into data structures and algorithms, the bedrock of technical interviews. It includes smart approaches to practicing LeetCode, pattern-based problem solving, and optimizing time/space complexity—plus a reflection on the role of AI in DSA prep. Section III: Systems Design – From Basics to High-Scale Tailored for mid to senior-level candidates and aspiring full-stack engineers, this section walks through real-world design questions. It introduces frameworks for approaching any system design problem and discusses scalability, availability, caching, and AI-powered design tools. Section IV: Behavioral & Communication Rounds Technical skills may open the door, but behavioral excellence secures the offer. Learn how to ace virtual interviews, structure answers using the STAR method, and showcase emotional intelligence and product thinking through storytelling. Section V: AI, Tools, and Smart Preparation This is your competitive edge. Learn how to leverage ChatGPT, GitHub Copilot, and other AI tools for resume building, job tracking, mock interviews, and personalized preparation. It’s where traditional prep meets modern efficiency. Section VI: Mock Interviews & Real-Life Case Studies Nothing prepares like real experience. This section features annotated mock interviews, mistakes to avoid, success stories, and firsthand advice from hiring managers at top tech firms. Section VII: Domain-Specific Breakdowns (Bonus Chapters) Each role is different, and so should your preparation be. This section focuses on ML roles, data science, frontend, DevOps, and internship-specific interview paths. It aligns expectations with preparation strategies. Appendices Includes: A compilation of 500 most important interview questions A powerful Toolkit: Resume Templates, Preparation Tracker, and AI-Powered Planners Each section is modular yet connected. You can read the book front-to-back or jump to the parts most relevant to you. But no matter how you use it, this book promises one thing: by the end, you won’t just be prepared for interviews—you’ll be ready to stand out and succeed.