[PDF] Generative Ai Build A Strong Foundation In Machine Learning A Step By Step Understanding Of Fundamental Concepts With Practical Applications - eBooks Review

Generative Ai Build A Strong Foundation In Machine Learning A Step By Step Understanding Of Fundamental Concepts With Practical Applications


Generative Ai Build A Strong Foundation In Machine Learning A Step By Step Understanding Of Fundamental Concepts With Practical Applications
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Generative Ai Build A Strong Foundation In Machine Learning A Step By Step Understanding Of Fundamental Concepts With Practical Applications


Generative Ai Build A Strong Foundation In Machine Learning A Step By Step Understanding Of Fundamental Concepts With Practical Applications
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Author : Thomas Gobeil
language : en
Publisher: Thomas Gobeil
Release Date : 101-01-01

Generative Ai Build A Strong Foundation In Machine Learning A Step By Step Understanding Of Fundamental Concepts With Practical Applications written by Thomas Gobeil and has been published by Thomas Gobeil this book supported file pdf, txt, epub, kindle and other format this book has been release on 101-01-01 with Computers categories.


Are you curious about the potential of generative ai to impact your career and everyday life, but unsure where to start? Do complex ai platforms and ethical worries feel like barriers to unlocking this exciting technology? Many tech enthusiasts, students, and professionals face these very questions every day, but your path to demystifying ai begins here. Generative ai: beginners guide offers a step-by-step roadmap to understanding and applying ai for strategic advantage, ethical deployment, and practical integration in your life and work environments. Here's what's waiting inside: • Unlock the secrets of generative ai – find the answers you were looking for and debunk the myths that might be holding you back • A deep dive into top ai platforms such as chatgpt, gemini, claude, perplexity and bard – explained in a way anyone can understand • How to make money online with your own ai business – tips, tricks, and strategies • Explanation of the 'do's and don'ts' of ai • Comprehensive walkthroughs and prompts for using ai in real-life scenarios such as writing and editing. • Practical use-cases and real-life examples to inspire you • Overview of top online resources for learning and mastering generative ai Are you a forward-thinking business leader, striving to stay ahead in this fast-paced digital era? Are you intrigued by the unlimited potential of artificial intelligence but overwhelmed by its intricacies? Do ethical considerations and complexities of ai deployment leave you bewildered and hesitant?



Genai On Aws


Genai On Aws
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Author : Olivier Bergeret
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-19

Genai On Aws written by Olivier Bergeret 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 2025-03-19 with Computers categories.


The definitive guide to leveraging AWS for generative AI GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS. This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of machine learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform. In the book, you'll: Gain invaluable insights from practicing cloud and software engineers on developing cutting-edge generative AI applications using AWS Discover beginner-friendly introductions to AI and machine learning, coupled with advanced techniques for leveraging AWS's AI tools Learn from a resource that's ideal for a broad audience, from technical professionals like cloud engineers and software developers to non-technical business leaders looking to innovate with AI Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, Gen AI on AWS is your gateway to mastering generative AI development on AWS. Seize this opportunity for an enduring competitive advantage in the rapidly evolving field of AI. Embark on your journey to building practical, impactful AI applications by grabbing a copy today.



Generative Ai Foundations In Python


Generative Ai Foundations In Python
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Author : Carlos Rodriguez
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-26

Generative Ai Foundations In Python written by Carlos Rodriguez 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 2024-07-26 with Computers categories.


Begin your generative AI journey with Python as you explore large language models, understand responsible generative AI practices, and apply your knowledge to real-world applications through guided tutorials Key Features Gain expertise in prompt engineering, LLM fine-tuning, and domain adaptation Use transformers-based LLMs and diffusion models to implement AI applications Discover strategies to optimize model performance, address ethical considerations, and build trust in AI systems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. It is pivotal to understand the foundational concepts needed to implement generative AI. This guide explains the core concepts behind -of-the-art generative models by combining theory and hands-on application. Generative AI Foundations in Python begins by laying a foundational understanding, presenting the fundamentals of generative LLMs and their historical evolution, while also setting the stage for deeper exploration. You’ll also understand how to apply generative LLMs in real-world applications. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Later, you’ll delve into topics such as task-specific fine-tuning, domain adaptation, prompt engineering, quantitative evaluation, and responsible AI, focusing on how to effectively and responsibly use generative LLMs. By the end of this book, you’ll be well-versed in applying generative AI capabilities to real-world problems, confidently navigating its enormous potential ethically and responsibly.What you will learn Discover the fundamentals of GenAI and its foundations in NLP Dissect foundational generative architectures including GANs, transformers, and diffusion models Find out how to fine-tune LLMs for specific NLP tasks Understand transfer learning and fine-tuning to facilitate domain adaptation, including fields such as finance Explore prompt engineering, including in-context learning, templatization, and rationalization through chain-of-thought and RAG Implement responsible practices with generative LLMs to minimize bias, toxicity, and other harmful outputs Who this book is for This book is for developers, data scientists, and machine learning engineers embarking on projects driven by generative AI. A general understanding of machine learning and deep learning, as well as some proficiency with Python, is expected.



Hands On Artificial Intelligence For Iot


 Hands On Artificial Intelligence For Iot
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Author : Dr. Amita Kapoor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-05-16

Hands On Artificial Intelligence For Iot written by Dr. Amita Kapoor 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 2025-05-16 with Computers categories.


Master AI and IoT integration, from fundamentals to advanced techniques, and revolutionize your approach to building intelligent, data-driven solutions across industries Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Enhance your IoT solutions with advanced AI techniques, including deep learning, optimization, and generative adversarial networks Gain practical insights through industry-specific IoT case studies in manufacturing, smart cities, and automation Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionTransform IoT devices into intelligent systems with this comprehensive guide by Amita Kapoor, Chief AI Officer at Tipz AI. Drawing on 25 years of expertise in developing intelligent systems across industries, she demonstrates how to harness the combined power of artificial intelligence and IoT technology. A pioneer in making AI and neuroscience education accessible worldwide, Amita guides you through creating smart, efficient systems that leverage the latest advances in both fields. This new edition is updated with various optimization techniques in IoT used for enhancing efficiency and performance. It introduces you to cloud platforms such as Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) for analyzing data generated using IoT devices. You’ll learn about machine learning algorithms, deep learning techniques, and practical applications in real-world IoT scenarios and advance to creating AI models that work with diverse data types, including time series, images, and audio. You’ll also harness the power of widely used Python libraries, TensorFlow and Keras, to build a variety of smart AI models. By the end of the book, you’ll emerge as a master of AI-driven IoT, armed with invaluable experience in optimizing IoT devices, boosting their performance, and integrating AI algorithms to make intelligent decisions.What you will learn Integrate AI and IoT for enhanced device intelligence Understand how to build scalable and efficient IoT systems Master both supervised and unsupervised machine learning techniques for processing IoT data Explore the full potential of deep learning in IoT applications Discover AI-driven strategies to optimize IoT system efficiency Implement real-world IoT projects that leverage AI capabilities Improve device performance and decision-making using AI algorithms Who this book is for This book is for IoT developers, engineers, and tech enthusiasts, particularly those with a background in Python, looking to integrate artificial intelligence and machine learning into IoT systems. Python developers eager to apply their knowledge in new, innovative ways will find it useful. It’s also an invaluable guide for anyone with a foundational understanding of IoT concepts ready to take their skills to the next level and shape the future of intelligent devices.



Llm Development And Ai Ethics


Llm Development And Ai Ethics
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Author : Ambuj Agrawal
language : en
Publisher: BPB Publications
Release Date : 2025-03-23

Llm Development And Ai Ethics written by Ambuj Agrawal and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-23 with Computers categories.


DESCRIPTION The rapid evolution of AI, especially generative AI, presents both opportunities and critical challenges. This book addresses the urgent need for responsible AI development, focusing on safety, alignment, and robust governance. We explore how to navigate the complexities of AI, ensuring its benefits are harnessed while mitigating potential risks. This book will cover the foundational concepts of AI, from ML to the cutting-edge of large language models (LLMs) and prompt engineering. Each chapter provides key insights into AI safety initiatives, governance frameworks, and the practical development of secure AI applications. You will learn how to approach AI with an ethical mindset, understanding the importance of interpretability, risk management, and the societal implications of AI advancements, all the way to contemplating the future of artificial general intelligence (AGI). Upon completing this book, you will possess a comprehensive understanding of AI's current state and future trajectories. You will gain the knowledge to contribute to the responsible development and deployment of AI technologies, ready to engage in the crucial conversations shaping our AI-driven world. WHAT YOU WILL LEARN ● Create generative AI applications for text, music, image, and video generation. ● Develop ML models and LLMs from scratch. ● Work towards advancing the field of AI safety and alignment. ● Build AI applications with AI governance and security. ● Create AI governance frameworks for your organizations. ● Develop better prompts for generative AI models using the prompt engineering techniques mentioned in the book. ● Build AI agents for workflow automation. ● Understand the latest trend in generative AI research and the current progress towards AGI. WHO THIS BOOK IS FOR This book is intended for technologists, researchers, business leaders, and AI enthusiasts. Even people with no technical knowledge can use the techniques described in this book to create generative AI applications for a variety of use cases in their organizations. TABLE OF CONTENTS 1. Introduction to Artificial Intelligence 2. Introduction to AI Safety and Alignment 3. Introduction to Generative AI 4. Developing Large Language Models 5. Prompt Engineering and Its Impact on AI Safety 6. AI Governance in the Age of Generative AI 7. Developing Generative AI Applications with Governance and Security 8. Towards Artificial General Intelligence



Recent Trends In Educational Technology And Administration


Recent Trends In Educational Technology And Administration
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Author : Fred Paas
language : en
Publisher: Springer Nature
Release Date : 2024-05-30

Recent Trends In Educational Technology And Administration written by Fred Paas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Education categories.


This book introduces various techniques of educational technology, blending theory with real-world applications, making it an essential tool for a wide range of readers. Different innovative methods covered in this book enhance its usefulness in education administration and management. The content of the book covers chapters both for the beginners and experts, serving as a key reference for educators and administrators. This book serves as a source of fresh ideas for researchers exploring the evolving aspects of educational technology and administration. This book’s wide range of coverage highlights its importance in the education sector, offering new insights and practical solutions that cater to the needs of today's diverse learning settings. By bridging the gap between theory and practice, it facilitates a deeper understanding of the shifting paradigms in education, driven by technological progress and a shift towards more learner-centred models.



Generative Ai With Python And Pytorch Second Edition


Generative Ai With Python And Pytorch Second Edition
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Author : Joseph Babcock
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-03-28

Generative Ai With Python And Pytorch Second Edition written by Joseph Babcock 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 2025-03-28 with Computers categories.


Master GenAI techniques to create images and text using variational autoencoders (VAEs), generative adversarial networks (GANs), LSTMs, and large language models (LLMs) Key Features Implement real-world applications of LLMs and generative AI Fine-tune models with PEFT and LoRA to speed up training Expand your LLM toolbox with Retrieval Augmented Generation (RAG) techniques, LangChain, and LlamaIndex Purchase of the print or Kindle book includes a free eBook in PDF format Book Description Become an expert in Generative AI through immersive, hands-on projects that leverage today’s most powerful models for Natural Language Processing (NLP) and computer vision. Generative AI with Python and PyTorch is your end-to-end guide to creating advanced AI applications, made easy by Raghav Bali, a seasoned data scientist with multiple patents in AI, and Joseph Babcock, a PhD and machine learning expert. Through business-tested approaches, this book simplifies complex GenAI concepts, making learning both accessible and immediately applicable. From NLP to image generation, this second edition explores practical applications and the underlying theories that power these technologies. By integrating the latest advancements in LLMs, it prepares you to design and implement powerful AI systems that transform data into actionable intelligence. You’ll build your versatile LLM toolkit by gaining expertise in GPT-4, LangChain, RLHF, LoRA, RAG, and more. You’ll also explore deep learning techniques for image generation and apply styler transfer using GANs, before advancing to implement CLIP and diffusion models. Whether you’re generating dynamic content or developing complex AI-driven solutions, this book equips you with everything you need to harness the full transformative power of Python and AI. What will you learn Grasp the core concepts and capabilities of LLMs Craft effective prompts using chain-of-thought, ReAct, and prompt query language to guide LLMs toward your desired outputs Understand how attention and transformers have changed NLP Optimize your diffusion models by combining them with VAEs Build text generation pipelines based on LSTMs and LLMs Leverage the power of open-source LLMs, such as Llama and Mistral, for diverse applications Who this book is for This book is for data scientists, machine learning engineers, and software developers seeking practical skills in building generative AI systems. A basic understanding of math and statistics and experience with Python coding is required.



Ultimate Aws Certified Ai Practitioner Aif C01 Exam Guide Supercharge Your Career In Ai With The Aws Ai Practitioner Aif C01 Certification Using Real World Applications Exam Tips And Practical Insights


Ultimate Aws Certified Ai Practitioner Aif C01 Exam Guide Supercharge Your Career In Ai With The Aws Ai Practitioner Aif C01 Certification Using Real World Applications Exam Tips And Practical Insights
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Author : Gaurav h
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-07-09

Ultimate Aws Certified Ai Practitioner Aif C01 Exam Guide Supercharge Your Career In Ai With The Aws Ai Practitioner Aif C01 Certification Using Real World Applications Exam Tips And Practical Insights written by Gaurav h and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Computers categories.


Your Complete Roadmap to AWS AI Practitioner Success—Simplified, Practical, and Designed to Help You Pass with Confidence. Key Features● Gain in-depth knowledge of AWS AI services, Generative AI, and ethical considerations for business and technical use cases.● Master essential AWS AI/ML tools to stay ahead in the evolving landscape of cloud-based artificial intelligence solutions.● Prepare confidently with real-world examples, clear explanations, and targeted exam questions for the AWS AI Practitioner certification. Book DescriptionIn today’s AI-powered world, earning the AWS Certified AI Practitioner (AIF-C01) certification is a powerful way to validate your skills, boost your credibility, and stand out in the competitive cloud job market. Ultimate AWS Certified AI Practitioner (AIF-C01) Exam Guide is a comprehensive, beginner-friendly roadmap for professionals, students, and decision-makers looking to master AI and Machine Learning on AWS—and crack the AIF-C01 exam with confidence. Covering everything from AI and ML fundamentals to core AWS services like SageMaker, Bedrock, and Rekognition, this guide also explores Generative AI, vision and language-based AI use cases, and practical tools for personalization, security, and governance. You'll gain clarity on responsible AI principles, learn to identify and mitigate bias, and confidently navigate AWS best practices in ethics and compliance. Each chapter offers real-world examples, exam strategies, and practice questions designed to reinforce key concepts and simulate the exam environment. Whether you're technical or non-technical, the content is simplified for easy understanding—without sacrificing depth or relevance. If you're serious about working in AI or cloud, this certification isn't just a bonus—it’s becoming a must-have. Don’t miss your chance to stay ahead of the curve—master AWS AI and future-proof your career now. What you will learn● Understand foundational concepts of AI, Machine Learning, and Generative AI for modern cloud applications.● Gain hands-on experience with AWS AI/ML services like SageMaker, Bedrock and Rekognition to build intelligent solutions.● Learn to build, train, fine-tune, and deploy machine learning models using Amazon SageMaker.● Apply responsible AI practices by identifying and mitigating ethical risks, biases, and fairness issues in AI solutions.● Secure your AI workloads through AWS best practices in governance, compliance, and data protection.● Access targeted exam tips, mock questions, and real-world examples to confidently clear the AWS AI Practitioner certification.



Faik


Faik
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Author : Perry Carpenter
language : en
Publisher: John Wiley & Sons
Release Date : 2024-08-20

Faik written by Perry Carpenter 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 2024-08-20 with Computers categories.


Learn to navigate a world of deepfakes, phishing attacks, and other cybersecurity threats emanating from generative artificial intelligence In an era where artificial intelligence can create content indistinguishable from reality, how do we separate truth from fiction? In FAIK: A Practical Guide to Living in a World of Deepfakes, Disinformation, and AI-Generated Deceptions, cybersecurity and deception expert Perry Carpenter unveils the hidden dangers of generative artificial intelligence, showing you how to use these technologies safely while protecting yourself and others from cyber scams and threats. This book provides a crucial understanding of the potential risks associated with generative AI, like ChatGPT, Claude, and Gemini, offering effective strategies to avoid falling victim to their more sinister uses. This isn't just another book about technology – it's your survival guide to the digital jungle. Carpenter takes you on an insightful journey through the "Exploitation Zone," where rapid technological advancements outpace our ability to adapt, creating fertile ground for deception. Explore the mechanics behind deepfakes, disinformation, and other cognitive security threats. Discover how cybercriminals can leverage even the most trusted AI systems to create and spread synthetic media and use it for malicious purposes. At its core, FAIK is an empowering exposé in which Carpenter effectively weaves together engaging narratives and practical insights, all aimed to equip you with the knowledge to recognize and counter advanced tactics with practical media literacy skills and a deep understanding of social engineering. You will: Learn to think like a hacker to better defend against digital threats. Gain practical skills to identify and defend against AI-driven scams. Develop your toolkit to safely navigate the "Exploitation Zone." See how bad actors exploit fundamental aspects of generative AI to create weapons grade deceptions. Develop practical skills to identify and resist emotional manipulation in digital content. Most importantly, this is ultimately an optimistic book as it predicts a powerful and positive outcome as a period of cooperation, something now inconceivable, develops as it always does during crises and the future is enhanced by amazing new technologies and fabulous opportunities on the near horizon. Written by an expert, yet accessible to everyone, FAIK is an indispensable resource for anyone who uses technology and wants to stay secure in the evolving digital landscape. This book not only prepares you to face the onslaught of digital deceptions and AI-generated threats, but also teaches you to think like a hacker to better defend against them.



Ultimate Generative Ai Solutions On Google Cloud


Ultimate Generative Ai Solutions On Google Cloud
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Author : Arun Pandey
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-12-29

Ultimate Generative Ai Solutions On Google Cloud written by Arun Pandey and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-29 with Computers categories.


TAGLINE Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud! KEY FEATURES ● Step-by-step guidance for building Generative AI apps on Google Cloud Platform. ● Pro tips for fine-tuning models to achieve optimal performance. ● Industry-specific use cases for practical, hands-on learning. DESCRIPTION Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions. Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease. By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP. WHAT WILL YOU LEARN ● Build and deploy cutting-edge generative AI solutions using Google Cloud, LangChain, and RAG. ● Fine-tune large language models (LLMs) with PEFT to meet precise business objectives. ● Master prompt engineering techniques to enhance model performance with GCP tools. ● Optimize production AI for efficiency and scalability using GCP’s Cloud Functions and Cloud Run. ● Apply real-world industry use cases to drive innovation and solve complex problems with LLMOps. ● Manage and streamline AI projects effectively using GCP services like Dataflow, Pub/Sub, and Monitoring. WHO IS THIS BOOK FOR? This book is tailored for AI practitioners, data scientists, and developers with a foundational knowledge of machine learning and experience using Google Cloud services. Familiarity with Python programming and an interest in generative AI applications will enrich your understanding and support practical implementation of the concepts. TABLE OF CONTENTS 1. Generative AI Essentials 2. Google Cloud Basics 3. Getting Started with Large Language Models 4. Prompt Engineering and Contextual Learning 5. Fine-Tuning a Large Language Model 6. Parameter-Efficient Fine-Tuning (PEFT) 7. Reinforcement Learning with Human Feedback 8. Model Optimization 9. LLMOps for Managing and Monitoring AI Projects 10. Harnessing RAG and LangChain 11. Case Studies and Real-World Implementations Index