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[booksz]

Extensional Tectonics
by Elizabeth J. Catlos
English | 2025 | ISBN: 1119773741 | 360 pages | True PDF | 39.51 MB

A synthesis of current knowledge on global extensional tectonics
The extension of Earth's lithosphere occurs at divergent plate boundaries as well as in plate interiors. The geological, geochemical, and sedimentary processes of extension offer insights into topics ranging from the fundamentals of tectonics to the evolution of life.
Extensional Tectonics: Rifting and Continental Extension reviews present-day knowledge of extensional tectonic processes and explores examples from around the world.
Volume highlights include:
Overview of extensional tectonic processes from continental rifting to oceanic basin formation
In-depth examination of extension along rift systems and rift margins
Review of post-collisional continental extension
Examples from Africa, Asia, Europe, and the Americas
Insights from observations, modeling, and 3D seismic data interpretation of extended terrains
This book is one of a set of three in the collection Tectonic Processes: A Global View.
Browse the first volume, Compressional Tectonics: Plate Convergence to Mountain Building.
The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

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[booksz]

Fatigue of Materials and Structures
by Zhu, ShunPeng, Correia, Jose A.F.O., De Jesus, Abilio M.P., Lesiuk, Grzegorz
English | 2025 | ISBN: 1032497556 | 478 pages | True EPUB | 38.31 MB

Fatigue failure of engineering materials and structures has long been a great challenge for structural integrity, reliability and safety in mechanical, civil and aerospace engineering. These failure mechanisms and their modeling are critical concerns for managing aging structures, and directly affect sustainability across society.
In this context, the fundamental theories and methods of fatigue failure of engineering materials and structures are discussed in detail. Fatigue damage accumulation, crack initiation and crack growth analysis are presented from materials to structures, deterministic to probabilistic fatigue, physics to data science, uniaxial to multiaxial fatigue, and extremely low cycle fatigue to very high cycle fatigue. The focus is on mechanical understanding and risk management for design, maintenance, and operation.
Some recent advancements include fatigue of additive manufactured (AM) metals and advanced materials, which could potentially transform fatigue analysis and offer new perspectives on fatigue failure mechanisms and reliability design. Both experimental supporting evidence and simulation benefits are demonstrated. It integrates recent developments in artificial intelligence with fatigue in AM metals and advanced materials. It provides case studies, and future research challenges for the fusion of fatigue physics modeling with data analytics, for graduate students and advanced practitioners.

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[booksz]

Fatigue Prediction for Random Loads
by Rychlik, Igor;Gupta, Sayan;Lindgren, Georg;, Gupta, Sayan, Lindgren, Georg
English | 2025 | ISBN: 0367895846 | 306 pages | True EPUB | 5.6 MB

Fatigue Prediction for Random Loads serves as a comprehensive treatise for methods for fatigue estimation and fatigue life prediction in randomly excited structural systems using the rainflow cycle counting method. Fatigue is an important mode of material degradation in structural components subjected to vibrations and a reliable estimation of their fatigue life span, and it is a key consideration in the design and development of such systems. This book uses advanced concepts of probability theory, random variables and random processes to develop spectral-based methods and formulae for predicting expected fatigue damage and expected fatigue life. The developments presented here bypass the need for a computationally expensive rainflow cycle counting that is usually adopted in time domain approaches. This book is aimed towards researchers and industry practitioners working in the intersectional areas of mechanics and applied mathematics and is expected to be particularly useful for applications on problems in the fields of wind engineering, offshore engineering, ship research and routing, aerospace engineering, automotive engineering and machine dynamics.

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[booksz]

Feature Engineering for Modern Machine Learning with Scikit-Learn
by Miguel Gonzalez
English | 2025 | ISBN: 9798895873588 | 436 pages | True PDF EPUB | 20.34 MB

Master feature engineering with Scikit-Learn! Learn to preprocess, transform, and automate data for machine learning. Boost predictive accuracy with pipelines, clustering, and advanced techniques for real-world projects.Key FeaturesComprehensive guide to feature engineering for Scikit-LearnHands-on projects for real-world applicationsFocus on automation, pipelines, and deep learning integration
Book DescriptionFeature engineering is essential for building robust predictive models. This book delves into practical techniques for transforming raw data into powerful features using Scikit-Learn. You'll explore automation, deep learning integrations, and advanced topics like feature selection and model evaluation. Learn to handle real-world data challenges, enhance accuracy, and streamline your workflows. Through hands-on projects, readers will gain practical experience with techniques such as clustering, pipelines, and feature selection, applied to domains like retail and healthcare. Step-by-step instructions ensure a comprehensive learning journey, from foundational concepts to advanced automation and hybrid modeling approaches. By combining theory with real-world applications, the book equips data professionals with the tools to unlock the full potential of machine learning models. Whether working with structured datasets or integrating deep learning features, this guide provides actionable insights to tackle any data transformation challenge effectively.What you will learnCreate data-driven features for better ML modelsApply Scikit-Learn pipelines for automationUse clustering and feature selection effectivelyHandle imbalanced datasets with advanced techniquesLeverage regularization for feature selectionUtilize deep learning for feature extraction
Who this book is for Data scientists, machine learning engineers, and analytics professionals looking to improve predictive model performance will find this book invaluable. Prior experience with Python and basic machine learning concepts is recommended. Familiarity with Scikit-Learn is helpful but not required.
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[booksz]

Financial Literacy Starter Kit, Third Edition
by Grey House Publishing;
English | 2024 | ISBN: 1637008457 | 541 pages | True PDF | 26.52 MB

"Finance & Financial Markets" is a bestselling comprehensive introduction to the financial markets, institutions and instruments that constitute global finance. Its practical approach makes it readily understandable for students on finance and economics courses and those wanting to understand the workings of the modern financial world. This third edition has been thoroughly updated in the wake of the recent financial crisis, and discusses its implications for the finance industry.
Key benefits of the third edition:
- New chapter on the credit crunch covering the causes, events and policy responses.
- Coverage of recent financial innovations such as collateralized debt obligations and credit default swaps.
- Completely revised chapter on financial regulation, focusing on regulatory issues raised by the credit crunch.
- An extensive set of case studies, showing how theories apply to the real world of finance.
- On-page glossary definitions of key terms.
- A companion website featuring interactive multiple choice questions, links to financial information and data sources, PowerPoint slides and a timeline of the credit crunch with links to relevant news sources.
Praise for "Finance & Financial Markets":
"This comprehensive student-friendly text ... provides a terrific introduction for students on economics, finance and business programs."
- John Goddard, Professor of Financial Economics, Bangor University, UK
"A comprehensive textbook that will skilfully guide students through the essential building blocks of modern finance. Beginners' appetite for numerical examples and graphical demonstrations will certainly find satisfaction here. Given its well-proportioned balance between intuitive thinking and analytical rigour, this book will also prove to be a precious reference book for more advance students."
- Gabriele M. Lepori, Assistant Professor, Department of Finance, Copenhagen Business School, Denmark

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If You're Not First, You're Last: Sales Strategies to Dominate Your Market and Beat Your Competition
by Grant Cardone
English | 2025 | ISBN: 1633436365 | 266 pages | True PDF | 30.28 MB

Learn the modern approach to data for digital marketing used by the world's leading brands to drive amazing, compound growth with transparency, privacy compliance, and data-driven personalization.
First Party Data Activation shows you how to transform general user data into a deep understanding of who your customers are, what resonates with them, and where to focus your marketing efforts. You'll discover how to effectively collect, analyze, and act on data from direct customer interactions to drive consistent, incremental growth- all with your user's consent.
Gone are the days when "batch and blast" email campaigns could be sent with abandon to drive results. Consumer expectations, promotional inboxes, and privacy regulations have forced marketing teams to level up targeting and personalization efforts. Organizations with a deep well of data and insights on their customer base have the competitive upper hand. Major transitions in browser tracking and the need to reach consumers with consistent and relevant messaging across an ever-increasing set of channels make this a critical moment to reexamine old assumptions. This book helps marketers to meet those challenges using a new, data-first approach focused on a single view of each customer available to all of an organization's marketing tools and teams.
In First Party Data Activation you will learn how to:
* Transition away from cookies and third-party tracking tools
* Modernize your marketing technology with data lakehouses and composable CDPs
* Build sustainable and privacy-compliant data collection strategies
* Hyper-personalize your messaging using generative AI and data clean rooms
* Embed transparency, consent, and data ethics in your marketing process
* Drive faster marketing operations to achieve higher growth for your company
Anyone involved in digital marketing or the support of digital marketing will benefit from this book. Digital marketing leaders will find in this book a recipe for the future that breaks away from tool-based thinking and moves toward a unified view and approach to each customer. Data Scientists and Data Engineers will benefit from understanding the technical concepts and concerns such as data lakehouses, customer data platforms (CDPs), and data privacy that matter to the marketing clients whom they are serving. The information provided offers valuable insights into how technical infrastructure supports modern marketing strategies, bridging the gap between IT and marketing domains.
In a rapidly-evolving digital ecosystem, marketers who rely on outdated approaches like third-party cookie collection risk falling behind their competitors. First Party Data Activation teaches you to build a modern marketing strategy that's based on first-party data-the data freely given through login events, page views, product clicks, payment info, and more. You'll utilize technologies like composable customer data platforms (CDPs), data lakehouses, data clean rooms, and generative AI to improve your targeting and personalization, all while ensuring data is handled to the highest privacy standards.
Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.
About the book
First Party Data Activation is a comprehensive guide to collecting, storing, and using first-party data for effective digital marketing. The book focuses on building customer trust by putting privacy at the heart of your marketing strategy. It presents a clear and actionable framework to rearchitect how you collect and store data, and how you turn it into results. You'll learn how to make best use of new technologies-including generative AI and identity resolution-and drive change across teams as you update the way you market. Each new idea is illustrated with insightful real-world case studies, such as the Boston Red Sox's use of audience segmentation and Indeed's data-driven customer re-engagement campaigns?.
About the reader
For marketing leaders who want to develop strategies to maximize the potential of their first-party data to drive more effective, more repeatable growth across all marketing channels. For data scientists and data engineers who work in support marketing efforts and want to bring more value by understanding the challenges faced by their clients and the direction in which digital marketing trends are heading.

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[booksz]

Floating Point Numerics for Games and Simulations
by Badizadegan, Nima;
English | 2025 | ISBN: 1032933550 | 213 pages | True EPUB | 7.07 MB

Floating point is ubiquitous in computers, where it is the default way to represent non-integer numbers. However, few people understand it. We all see weird behavior sometimes, and many programmers treat it as a mystical and imprecise system of math that just works until it sometimes doesn't. We hear that we shouldn't trust floating point with money, we know that 0.1 + 0.2 does not equal 0.3, and "NaN" shows up in our logs when things break. We rarely hear why any of this is the case, and less about what to do about it. This book pulls back the veil on floating point and shows how this number system we program with every day works. It discusses how to leverage the number system for common calculations, particularly in graphics and simulations, and avoid pitfalls. Further, we will review methods that can give you either better performance or better accuracy on tasks like numerical integration and function approximation, so you can learn to make the right tradeoffs in your programs. This book builds upon a basic knowledge of calculus and linear algebra, working with illustrative examples that demonstrate concepts rather than relying on theoretical proofs. Along the way, we will learn why Minecraft has struggled with boat physics and what the heck John Carmack was thinking with Quake III's infamous fast reciprocal square root algorithm. By the end of the book, you will be able to understand how to work with floating point in a practical sense, from tracking down and preventing error in small calculations to choosing numerical building blocks for complex 3D simulations. Gives insight into how and why floating-point math works Describes how floating-point error arises and how to avoid it Surveys numerical methods important to graphics and numerical simulations Includes modern techniques to apply to your numerical problems Shows how to hack the floating-point numbers to compute faster and more accurately

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[booksz]

Forever Paris: Green Spaces & Sustainable Living in the City of Light
by Michel Arnaud, Jane Creech
English | 2025 | ISBN: 1419775022 | 272 pages | True EPUB | 133.84 MB

Photographer Michel Arnaud spotlights the green spaces and sustainable architecture in Paris
Paris is changing. There is a new attitude of green and sustainable ideals that are permeating the City of Light everywhere you go. In many ways, Paris has had the qualities of a "green city" for a long time. Existing architecture has been adapted and reused for centuries. Paris has always been a walkable city, and its public gardens are well known. However, over the years, pollutants have made their impact-a gray haze from car exhaust hovering over the city. Today, officials, businesses, and residents are making changes to help turn Paris green and prepare for a sustainable future. Bike lanes are replacing roadways. Food entrepreneurs are creating urban farms on the city's famous rooftops.
InForeverParis,photographer and author Michel Arnaud documents and investigates the projects and people that are transforming Paris for the future by asking questions likeWhat makes a city "green"?andHow can we make our world sustainable?andWhat changes must we make now?This stunning photography book explores how today's generation is leading a revolution for sustainability to protect the future of our environment for generations to come.

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Formal Verification of Just-in-Time Compilation
by Aurèle Barrière - École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
English | 2025 | ISBN: 9798400713781 | 178 pages | True PDF | 14.62 MB

This book outlines a methodology to develop formally verified Just-in-Time compilers. Just-in-Time compilation is a technique to execute programs, where execution is interleaved with optimizations of the program itself. These compilers often produce fast executions, so much so that their use has grown greatly for dynamic programming languages. Most modern web browsers today use Just-in-Time compilation to speed up the execution of the JavaScript programs they execute.
However, the techniques used in Just-in-Time compilers can be particularly complex. This complexity can be a source of bugs and vulnerabilities. How can you make sure that your Just-in-Time compiler is bug-free? For traditional ahead-of-time compilers, many techniques have been developed to prevent compilation bugs. One such technique is formally verified compilation, where the compiler itself comes with proof that the semantics of the compiled program correspond to the semantics of the source program. But Just-in-Time compilers are more recent, less understood, and have been the target of far fewer verification efforts.
To bring formal verification to Just-in-Time compilation, the book identifies a set of specific verification challenges and presents novel solutions for each of them. Such challenges include dynamic optimizations, speculative optimizations, deoptimizations, and the interleaving of interpretation and machine code generation. The author repurposes proof techniques from formally verified ahead-of-time compilers like CompCert. Following this methodology, readers can develop Just-in-Time compilers and formally prove that they behave as prescribed by the semantics of the program they execute. All proofs within the book have been mechanized in the Coq proof assistant.

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[booksz]

From Blériot to Spitfire
by Butler, Scott;
English | 2025 | ISBN: 0719844819 | 208 pages | True EPUB | 138.82 MB

The aeroplanes of the Shuttleworth Collection span the first 40 years of aviation from the 1909 Blériot to the late 1940s; these rare and often unique machines are still regularly flown and displayed over the aerodrome at Old Warden in Bedfordshire. This book, written by the Collection's pilots, past and present, puts the reader in the cockpits of these amazing machines as they fly over the English countryside. THE SHUTTLEWORTH COLLECTION is a private collection begun by Richard Shuttleworth - pilot, racing driver, self-taught mechanic and heir to the Old Warden Park Estate in Bedfordshire. He had a passion for rescuing old aircraft and vehicles, which he brought to the Estate to restore and maintain. Richard died in 1940 whilst flying with the RAF; after the war his mother set up a charity to preserve his heritage.

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Fundamentals of Robust Machine Learning
by Saleh, Resve A.;Majzoub, Sohaib;Saleh, A. K. Ehsanes;, Sohaib Majzoub, A. K. Md. Ehsanes Saleh
English | 2025 | ISBN: 1394294379 | 416 pages | True EPUB | 32.45 MB

An essential guide for tackling outliers and anomalies in machine learning and data science.
In recent years, machine learning (ML) has transformed virtually every area of research and technology, becoming one of the key tools for data scientists. Robust machine learning is a new approach to handling outliers in datasets, which is an often-overlooked aspect of data science. Ignoring outliers can lead to bad business decisions, wrong medical diagnoses, reaching the wrong conclusions or incorrectly assessing feature importance, just to name a few.
Fundamentals of Robust Machine Learningoffers a thorough but accessible overview of this subject by focusing on how to properly handle outliers and anomalies in datasets. There are two main approaches described in the book: using outlier-tolerant ML tools, or removing outliers before using conventional tools. Balancing theoretical foundations with practical Python code, it provides all the necessary skills to enhance the accuracy, stability and reliability of ML models.
Fundamentals of Robust Machine Learningreaders will also find:
A blend of robust statistics and machine learning principlesDetailed discussion of a wide range of robust machine learning methodologies, from robust clustering, regression and classification, to neural networks and anomaly detectionPython code with immediate application to data science problems
Fundamentals of Robust Machine Learningis ideal for undergraduate or graduate students in data science, machine learning, and related fields, as well as for professionals in the field looking to enhance their understanding of building models in the presence of outliers.

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General and Inorganic Chemistry
by Irena Kostova
English | 2025 | ISBN: 3111712222 | 478 pages | True PDF EPUB | 17.87 MB

General and Inorganic Chemistry covers the fundamental principles and general directions of chemistry and the physical and chemical properties of the elements and their compounds, with an emphasis on their biological role.
The first part of the textbook presents basic theoretical topics such as the structure of the atom, periodic table and law, chemical bonding and complex compounds. It includes topics related to chemical processes, such as chemical thermodynamics, chemical kinetics, catalysis, chemical equilibrium, redox processes, physicochemical analysis, as well as topics on solutions, such as disperse systems, electrolyte solutions and colloidal solutions. This part gives students systematic theoretical and practical knowledge in the field of general chemistry, with an emphasis on biochemical processes.
The second part of the textbook is dedicated to chemical elements. It is built on the concept of interconnection "place in the periodic table - chemical properties - biological role of chemical elements and their compounds" and is adapted to the needs of pharmaceutical practice. It includes an analysis of the sources and preparations of the elements, their common compounds, their physical and chemical properties, and their applications. Attention is specifically focused on the role and influence of chemical elements and their compounds on biological systems and mainly on the human body. Students are expected to build the necessary thinking and skills to apply this knowledge in their professional realization.
The compulsory course in general and inorganic chemistry is in line with the modern requirements for in-depth fundamental knowledge and practical skills in the training of pharmacy and medical students. At the same time, the students pursuing MSc Chemical Engineering and other professional studies will also find the book extremely useful. The objective is to provide the students with comprehensive treatment of the subject on modern lines.

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[booksz]

Generation IV Nuclear Reactors
by Richard A Dunlap
English | 2025 | ISBN: 0750360674 | 326 pages | True PDF EPUB | 177.19 MB

Generation IV nuclear reactors are designed to be safe, economical and to produce minimal radioactive waste material. The present book reviews the various categories of Generation IV reactors and their applications.

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[booksz]

IGI EPUB Test Book 85x11
by IGI Global
English | 2025 | ISBN: 9780134801148 | 378 pages | True PDF EPUB | 47.56 MB

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 backA deep dive into top ai platforms such as chatgpt, gemini, claude, perplexity and bard - explained in a way anyone can understandHow to make money online with your own ai business - tips, tricks, and strategiesExplanation of the 'do's and don'ts' of aiComprehensive walkthroughs and prompts for using ai in real-life scenarios such as writing and editing.Practical use-cases and real-life examples to inspire youOverview 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?

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Generative AI with Kubernetes
by Baier, Jonathan;
English | 2025 | ISBN: 9365898323 | 284 pages | True EPUB | 11.49 MB

Over the past few years, we have seen leaps and strides in ML and most recently generative AI. Companies and software teams are rushing to enhance, rebuild, and create new software offerings with this new intelligence. As they innovate and create delightful new experiences for their customers new challenges arise. Understanding how these applications work and how to use state-of-the-art infrastructure tools like Kubernetes will help organizations and professionals succeed with this new technology.
The book covers essential technical implementations from ML fundamentals through advanced deployment strategies, focusing on practical patterns. Core topics include Kubernetes-native GPU scheduling and resource management, MLOps pipeline architectures using Kubeflow/MLflow, and advanced model serving patterns. It details data management architectures, vector databases, and RAG systems, alongside monitoring solutions with Prometheus/Grafana. Finally, we will look at some advanced concerns for production in the realm of security and data reliability.
After reading this book, you will be equipped with a broad knowledge of the end-to-end generative AI pipeline and how Kubernetes can be leveraged to run your generative AI workloads at scale in the real-world.
Key Features
● Learn how Kubernetes can help you run your generative AI workloads.
● Using hands-on examples, you will work with real-world foundational models and a variety of tools and capabilities in the K8s ecosystem.
● A broad survey of both generative AI and Kubernetes in one book.
What you will learn
● How to evaluate and compare models for new applications and use cases.
● How Kubernetes can add reliability and scale to your AI applications.
● What does an AI delivery pipeline contain and how to start one.
● How AI models encode words and work with natural language.
● How prompting and refinement techniques can improve results.
● How to use your own data to augment AI responses.
Who this book is for
This book is for teams building new applications or new functionality with generative AI, but want to better understand the infrastructure needed to bring their AI applications to production. This book is also for shared services, infrastructure, or cybersecurity teams who provide platforms and infrastructure for application, or product development.
Table of Contents
1. Introduction to Generative Artificial Intelligence
2. Kubernetes for Generative AI
3. Introduction to Foundational Models on Kubernetes
4. Working with Foundational Models
5. Process and Pipelines
6. Process and Pipelines on Kubernetes
7. Managing Data for Generative AI
8. Refining and Improving Results
9. Observability and Monitoring
10. Securing ML/GenAI Pipelines on K8s

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[booksz]

Generative AI with Python and PyTorch, Second Edition
by Joseph Babcock, Raghav Bali
English | 2025 | ISBN: 1835884458 | 451 pages | True/Retail PDF EPUB | 113.47 MB

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 you will learn
Grasp the core concepts behind large language models and their capabilities
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.

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[booksz]

Generative AI, Media, and Society; First Edition
by Katalin Feher
English | 2025 | ISBN: 1032968737 | 193 pages | True PDF EPUB | 8.4 MB

This groundbreaking book demystifies generative AI's transformative impact on media, socio-cultural dynamics, ethics, and policy. Defining generative AI as an evolutionary leap in the development of artificial intelligence, the author examines intricate human-machine interactions and socio-technical dynamics, advocating robust, proactive AI governance to address emerging uncertainties. The book is clearly structured into six key chapters, each exploring distinct aspects of the relationship between artificial intelligence, media, and society. The chapter on "Transformation" examines how machine behavior is reshaping our datafied society, questioning whether data is the new oil, or digital manure. "Generative AI" investigates the models and future impacts of generative AI as a co-intelligence, revisiting the Turing Test and analyzing societal-business impacts. "AI Media" explores the convergence of media and AI, highlighting robot journalism, synthetic content, and the disinformation era and discussing the trend toward high-risk optimism. "Uncertainties" addresses inherent unpredictability vs. strategic foresight, focusing on challenged business models, sustainability concerns, and emotional intelligence factors. "Ethics" analyzes generative morality and dual-use technology, covering trusted AI principles-from misuse to integrative solutions. Finally, "Policy" discusses governance, labor market impacts, and the importance of human rights and power dynamics in generative AI. Each chapter also provides summaries of impact projects, reflective art, scholarly questions, and strategic takeaways-extended with a comprehensive glossary. This is an essential resource for scholars, students, policymakers, technologists, ethicists, and AI industry leaders seeking to rapidly understand and address the challenges and opportunities of generative AI and AI media in a cohesive framework.

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[booksz]

Glass-based Materials
by Sathish-Kumar Kamaraj and Arun Thirumurugan
English | 2024 | ISBN: 0750359021 | 236 pages | True PDF EPUB | 36.01 MB

Glass-based Materials is a comprehensive guide that delves into the multifaceted world of glass and glass-ceramic materials. The purpose of this book is to provide a thorough understanding of the fundamental properties, recent advancements, and diverse applications of glass-based materials in critical areas such as energy generation, environmental sustainability, and health care.

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[booksz]

Global Marketing
by Helen Millward
English | 2025 | ISBN: 1398620114 | 288 pages | True EPUB | 1.86 MB

Global Marketingprovides students with an understanding of how marketing works in today's globalized business landscape, covering key topics, theories and applications.
Ideal for undergraduate students taking modules on Global Marketing, this textbook includes chapters on global communications, cultural convergence and divergence as well as production and consumption considerations. There are discussions of standardization vs differentiation, cultural universals, brand equity and the encoding of marketing messaging. Crucially, it explores these topics from multiple stakeholder perspectives, providing further insight into how theories, when used in practice, may have different implications.
Features include:
· Ethical considerations of marketing internationally
· Theoretical debates and critiques to support critical thinking.
· Learning outcomes, end of chapter exercise questions and activities for students.
· Real-world examples throughout such as Disneyland, Taylor Swift and Kinder to help students to apply theoretical content within professional practice.

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[booksz]

Good Movies as Old Books
by Matt Stevens
English | 2025 | ISBN: 1797232193 | 256 pages | True EPUB | 308.33 MB

Imagine your favorite movies as vintage books! This clever collection features iconic films, cult classics, and box office hits brilliantly designed to look like original book covers-a delight for film fanatics and bibliophiles alike.
A good book cover is evocative, emotional, and revealing. It lures readers in and invites them to begin a journey with just a hint of the story that is about to unfold. They are true works of art.
Though many great movies are based on books, many more are not. Good Movies as Old Books features more than 200 beloved films reimagined as book covers for the first time, giving readers the distinct pleasure of seeing a favorite film transformed into cover art. Through masterful design, art, and typography, graphic designer Matt Stevens has created original vintage-style covers across film genres and eras of book design. From Braveheart to Parasite, Do the Right Thing to Top Gun, this page-turning assortment of...

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