Full Stack Machine Learning
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Applications Of Artificial Intelligence And Machine Learning
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Author : Dr. Prasad Naik Hamsavath
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-04-29
Applications Of Artificial Intelligence And Machine Learning written by Dr. Prasad Naik Hamsavath and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Study Aids categories.
The exhaustive manual "Applications of Artificial Intelligence and Machine Learning" has been meticulously curated to shed light on the complex terrain of AI and ML implementations. This book explores the numerous applications that these technologies provide in a variety of sectors, including computer vision, predictive analytics, natural language processing, and autonomous systems. Every chapter has been carefully designed to provide a combination of theoretical understanding and practical advice, enabling readers to confront real-life obstacles with assurance and skill. Whether you are an expert in the field, a student, or a researcher, this book accommodates your educational trajectory by furnishing a strategic path to harness the revolutionary capabilities of AI and ML. By incorporating practical exercises, case studies, and illustrative examples, readers are encouraged to deeply engage with the complex architecture of AI and ML. This will enable them to effectively innovate, create, and influence future developments. Embark on a transformative journey through these pages, where the limits of possibility are merely constructed from the faculties of our imagination.
Machine Intelligence And Emerging Technologies
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Author : Md. Shahriare Satu
language : en
Publisher: Springer Nature
Release Date : 2023-06-10
Machine Intelligence And Emerging Technologies written by Md. Shahriare Satu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-10 with Computers categories.
The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies. It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry.
Pro Deep Learning With Tensorflow
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Author : Santanu Pattanayak
language : en
Publisher: Apress
Release Date : 2017-12-06
Pro Deep Learning With Tensorflow written by Santanu Pattanayak and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-06 with Computers categories.
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures. All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community. What You'll Learn Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep learning Deploy complex deep learning solutions in production using TensorFlow Carry out research on deep learning and perform experiments using TensorFlow Who This Book Is For Data scientists and machine learning professionals, software developers, graduate students, and open source enthusiasts
Full Stack Machine Learning
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Author : Haider Koele
language : en
Publisher: Independently Published
Release Date : 2025-11-21
Full Stack Machine Learning written by Haider Koele and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-21 with Computers categories.
Do you feel lost or overwhelmed by the idea of building smart web apps with machine learning? You're not alone. What if you could turn confusion into confidence-and bring AI projects to life, even if you've never coded before? Full-Stack Machine Learning: A Practical Guide to Building AI Web Applications with Python, Keras 3, and TensorFlow.js 4 is the friendly, step-by-step companion you've been waiting for. Written especially for beginners, this hands-on guide helps you unlock the world of artificial intelligence and web development-no experience required. Inside, you'll discover: Zero-to-hero guidance: Start from absolute basics and build up your skills in Python, Keras, and TensorFlow.js, one simple step at a time. Practical, real-world projects: Learn by doing with fun, achievable projects-like image classification, sentiment analysis, and interactive web apps you can actually share with friends. Confidence-building approach: Every chapter is packed with gentle explanations, encouraging advice, and troubleshooting tips to keep you moving forward, even when mistakes happen. End-to-end workflow: See how professional developers collect data, train models, and deploy them as real AI-powered web applications-in the browser and beyond. Modern, in-demand skills: Master the tools and concepts top employers look for, including deep learning, web deployment, data science in the browser, and full-stack machine learning. This book is for you if: You're a complete beginner or early learner wanting to break into AI and web development. You want practical experience-not just theory or overwhelming math. You're ready to turn curiosity into capability and build projects that truly work. Key features and benefits: Beginner-friendly machine learning projects: Written in plain English, with all jargon gently explained. Full-stack development made simple: Bridge the worlds of Python and JavaScript with clear, actionable steps. Mistakes are normal-progress is celebrated: This book normalizes challenges and shows you how to turn setbacks into learning opportunities. All the code you need: Copy, adapt, and expand on real examples designed for success. Supportive, nurturing style: Feel like you have a mentor guiding you from start to finish. Whether you dream of creating browser-based AI apps, want to land a tech job, or simply hope to demystify machine learning, this book delivers a complete, confidence-building roadmap. Start your journey today-discover just how fun, approachable, and rewarding full-stack machine learning can be! Your first real AI-powered app is closer than you think.
Advanced Information Networking And Applications
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Author : Leonard Barolli
language : en
Publisher: Springer Nature
Release Date : 2023-03-14
Advanced Information Networking And Applications written by Leonard Barolli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-14 with Computers categories.
Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low cost and high volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
Artificial Intelligence And Human Computer Interaction
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Author : Yalan Ye
language : en
Publisher: SAGE Publications Limited
Release Date : 2024-04-15
Artificial Intelligence And Human Computer Interaction written by Yalan Ye and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Computers categories.
There is no denying the increasing importance of AI and human-computer interaction for societies worldwide. The potential for good in these fields is undeniable, but the challenges which arise during research and in practice must be carefully managed if this potential for good is to be realized without harm. This book presents the proceedings of ArtInHCI2023, the 1st International Conference on Artificial Intelligence and Human-Computer Interaction, held as an online event from 27-28 October 2023, and attended by around 70 participants from around the world. The aim of the conference was to promote academic exchange within and across disciplines, addressing theoretical and practical challenges and advancing current understanding and application. A total of 72 submissions were received for the conference, of which 41 were selected for presentation and publication following a thorough peer review process, resulting in an acceptance rate of 57%. Topics covered included deep learning, artificial neural networks, computer vision and pattern recognition and papers were focused on the challenges of research as well as application. Providing a fascinating overview of developments and innovation in the field, the book will be of interest to all those working with AI or human-computer interaction.
Digital Talent Business Models And Competencies
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Author : Ganesh Shermon
language : en
Publisher: Lulu.com
Release Date : 2017-09-14
Digital Talent Business Models And Competencies written by Ganesh Shermon and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-14 with Business & Economics categories.
Digital Talent! Changing Rules! Intellect, Machines, AI, Automation, Disruptions determine this world of competencies - influenced by high performing behaviors. Talent performs best with world class Business Models, those that can attract and nurture top talent. Integrating business models with talent management platforms is a strategic step to win war for talent.The ON LINE Store, "RforC - www.rforc.com", a Canadian E Commerce Store, specializes in "on line" sales of Psychometric Tools, Tests (Aptitude, Vocational, Careers, Social Inventories, Intelligence, Attitude, Skill Tests, Stretch Tests, Potential Appraisal Techniques, Competencies, Personality, Behavioral Typologies), BARS Tools, Simulations, Assessment - Development Center Materials, Tools such as Case Studies, In Baskets, Role Plays (Dyads, Triads, Groups), Organizational (Intra - Inter) Evaluations, 360 Degree Feedback, Corporate Scan Scoring, Group Discussions, Learning Skills, Leaderless Exercises and simulations
Machine Learning
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Author : Lorenza Saitta
language : en
Publisher: Morgan Kaufmann Publishers
Release Date : 1996
Machine Learning written by Lorenza Saitta and has been published by Morgan Kaufmann Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
The Zero Transaction Cost Entrepreneur Powerful Techniques To Reduce Friction And Scale Your Business
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Author : Dermot Berkery
language : en
Publisher: McGraw Hill Professional
Release Date : 2023-08-08
The Zero Transaction Cost Entrepreneur Powerful Techniques To Reduce Friction And Scale Your Business written by Dermot Berkery and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-08 with Business & Economics categories.
Harness the power of “zero transaction costs” to ensure long-term success in every new business proposition For many business professionals, the daily "to-do" list is hard enough to stay on top of, let alone coming up with the "big ideas" necessary to take their company—or a whole economy—to the next level. But if coming up with those ideas—or finding start-ups that do—is your job, then The Zero Transaction Cost Entrepreneur is an absolute must-read for you. With more than 20 years of experience and an extraordinary record of success stories to his credit, venture capitalist Dermot Berkery has seen thousands of business plans, and in these pages he shares the key ingredient these successes stories have in common: Smart transaction cost economics. Simply put, these businesses lower or eliminate transaction costs for their customers. Here's just one of the real-world examples you'll find within: Blockbuster Video scored big by making movies easily available to rent; that's a reduction in a transactional cost. Netflix then removed another transaction cost—a trip to the store—sending DVDs through the mail. They tackled other transaction costs – limited choice and wasted time – by moving to streaming. Finding (and loosening) these transaction cost creates extraordinary opportunities in every field and industry, for entrepreneurs and venture capitalists to corporate strategists and R&D heads. In these pages, you'll discover how transaction cost economics can work for you, in chapters that include: Why Do Other People Come Up with All the Brilliant Ideas? The 8 Major Categories of Transaction Costs Makers of Products Need to Transform them into Services Why Are Transaction Costs Falling Rapidly Right Now? The Trifecta of Accelerators: Idle Assets, the IoT, and Marginal Cost Pricing
Deep Learning At Scale
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Author : Suneeta Mall
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-06-18
Deep Learning At Scale written by Suneeta Mall 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 2024-06-18 with Computers categories.
Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. You'll gain a thorough understanding of: How data flows through the deep-learning network and the role the computation graphs play in building your model How accelerated computing speeds up your training and how best you can utilize the resources at your disposal How to train your model using distributed training paradigms, i.e., data, model, and pipeline parallelism How to leverage PyTorch ecosystems in conjunction with NVIDIA libraries and Triton to scale your model training Debugging, monitoring, and investigating the undesirable bottlenecks that slow down your model training How to expedite the training lifecycle and streamline your feedback loop to iterate model development A set of data tricks and techniques and how to apply them to scale your training model How to select the right tools and techniques for your deep-learning project Options for managing the compute infrastructure when running at scale