Other books that might interest you

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  Pierce the Design Fog - Develop...

  Dianna Deeney

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  A proven framework to align teams, define clear design inputs, and accelerate product success 
    
  In product development, great ideas can get lost in translation. Teams kick off with enthusiasm, but somewhere between the first design iteration meeting and the engineering handoff, misaligned assumptions lead to costly rework, stalled timelines, and products that miss the mark. 
  In Pierce the Design Fog, quality advocate and senior engineer Dianna Deeney reveals why 85% of companies struggle to get product development right—and how to fix it. Drawing from over 25 years in manufacturing, quality engineering, and cross-functional leadership, she shares practical methods for bridging the gap between concept development and engineering-ready designs. 
  Using her ADEPT Team Framework and Concept Space Model, Deeney provides a repeatable process to unite diverse perspectives, surface hidden requirements, and define clear design inputs focused on user experience. This hands-on playbook for managers, engineers, and product leaders uses step-by-step guidance, real-world examples, and ready-to-use templates to engage every stakeholder from the start and turn ideas into high-quality, customer-focused design inputs. 
  You will learn how to:Identify and avoid the "Ta-da Flop" by validating concepts before engineering begins.Lead efficient, collaborative meetings that produce actionable design inputs.Translate end user needs into prioritized, measurable requirements.Apply quality engineering tools to reduce design loops and speed approvals.Foster stronger cross-functional team alignment and earlier buy-in. 
  If you lead engineers, market products, or manage cross-functional teams, Pierce the Design Fog will change the way you start projects—with results your customers will notice.

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  Trees

  Alexander C. Martin, Herbert S. Zim

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  This eBook is best viewed on a color device.This Golden Guide describes and illustrates in full color more than 140 of our most common trees. Learn:-How to recognize tree shapes, flowers, buds, leaves, and fruits-Where each species grows-The parts of a tree and the various kinds of treesPerfect for nature lovers of all ages, this is an indispensable guide for everyone who wants to be able to recognize the different trees in North America.

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  Marginlands - Indian Landscapes...

  Arati Kumar-Rao

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  AN ENVIRONMENTALIST’S JOURNEY THROUGH INDIA’S PRECIOUS YET VULNERABLE LANDSCAPES.In the boundless Thar, deemed a ‘wasteland’ by the authorities, miners bulldoze sand dunes guarding life-sustaining water. The Gangetic dolphin, once a thriving apex predator, struggles for survival as its riverine habitat is fragmented by dams and roiled by incessant shipping. Deep in the mangrove forests of the Sunderban, tigers prey on desperate crab-catchers. Encroachments on the Mumbai coastline unleash cataclysmic floods. Along the eroding beaches of Kerala, fishers live in fear of the sea swallowing them whole. As the spectre of climate change compounds these natural and human-induced disasters, India’s most endangered landscapes are pushed to the precipice of destruction.Arati Kumar-Rao journeys to these marginlands, listening intently to their inhabitants, paying close attention to each fissure, fold and ripple, as she documents the misguided decisions, wilfully ignored warnings and disregarded evidence that have brought us almost to a point of no return. But the land is still rich in ancient wisdom, and its cracks hold lessons that may yet aid us in undoing centuries of slow violence – so long as one is willing to attune their senses.Combining enthralling nature writing and journalism with immersive art and photography, Marginlands is an urgent, vital work by a passionate chronicler of our environment.

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  Neural Networks for Beginners -...

  SAM CAMPBELL

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  "Dive into the fascinating world of deep learning with 'Navigating the Neural Networks: A Deep Learning Guide for Beginners.' This comprehensive book is designed to be your compass in the intricate landscape of neural networks, providing a clear and accessible guide for those venturing into the exciting realm of deep learning. 
  Whether you're a student, an enthusiast, or a professional looking to grasp the fundamentals, this guide is crafted to demystify the complexities of neural networks. From understanding the basic architecture of neurons to unraveling the mysteries of deep learning models, this book takes you on a step-by-step journey. It introduces key concepts, such as activation functions, loss functions, and optimization algorithms, in a beginner-friendly manner, making complex topics approachable. 
  Practical examples, real-world applications, and hands-on exercises guide you through the learning process, ensuring that theoretical knowledge is reinforced with practical experience. With a focus on clarity and simplicity, this guide equips you with the foundational knowledge to  
  'Navigating the Neural Networks' empowers you to embark on your deep learning journey with confidence. Unlock the potential of neural networks and transform your understanding of artificial intelligence with this beginner's guide." 
   

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  AI Ethics and Bias for Beginners...

  Felix Ashcroft

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  This audiobook is narrated by an AI Voice. "Explore the essentials of ethical AI and how biases can influence technology that impacts society. This book is designed for beginners seeking a clear understanding of how AI systems are built, how biases can creep in, and what we can do to promote fairness and accountability. Inside, you'll discover foundational principles, common sources of bias, the importance of data quality, and strategies for evaluating and improving AI fairness. Gain practical insights into transparency, governance, and human-centered design—empowering you to approach AI ethically and thoughtfully. 
   
  Benefits of reading this book include: 
  - Understanding key concepts like fairness, bias, and transparency in AI 
  - Recognizing how biased data and algorithms can affect decision-making 
  - Learning how to evaluate and audit AI systems responsibly 
  - Appreciating the societal impact and ethical considerations of AI deployment 
  - Gaining tools for fostering fair, accountable, and inclusive AI practices 
   
  Tagline: Building awareness and responsibility in ethical AI for all"

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  The AI Mirror - How to Reclaim...

  Shannon Vallor

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  For many, technology offers hope for the future—that promise of shared human flourishing and liberation that always seems to elude our species. Artificial intelligence (AI) technologies spark this hope in a particular way. They promise a future in which human limits and frailties are finally overcome—not by us, but by our machines. Yet rather than open new futures, today's powerful AI technologies reproduce the past. Forged from oceans of our data into immensely powerful but flawed mirrors, they reflect the same errors, biases, and failures of wisdom that we strive to escape. Our new digital mirrors point backward. They show only where the data say that we have already been, never where we might venture together for the first time. 
   
   
   
  To meet today's grave challenges to our species and our planet, we will need something new from AI, and from ourselves. 
   
   
   
  Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

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