Altri libri che potrebbero interessarti

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  Ultimate Guide to Hobby Farm...

  Sue Weaver, Chris McLaughlin,...

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  A single, information-packed volume with everything a hobby farmer needs to know about farm animals, this newly updated and comprehensive manual to selecting, caring for, and breeding livestock brings forth the expertise of five hobby farmers, each of whom has real-life on-the-farm experience with the animals discussed. Whether you're contemplating adding a small herd of sheep or goats to your existing hobby farm or you've always wondered about the benefits of raising angora rabbits or Muscovy ducks, this must-have resource provides the kind of guidance you need to begin a herd or flock and expand your pens and fencing. With exhaustive detail, the authors offer complete coverage of chickens, ducks, goats, sheep, cattle, pigs, and rabbits, including the housing, healthcare, special needs, advantages, and challenges of each. Also provided are strategies for marketing and selling your animals' meat, milk, eggs, fleece, or feathers, plus overviews on the animals' history, their behavioral traits, personal anecdotes, and more. New to this edition is updated information across all topics for the most complete and up-to-date insight in hobby farming, from shelter, care, health, and medicine to nutrition, behavior, marketing, and profit.

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  A Darker Wilderness - Black...

  Erin Sharkey

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  What are the politics of nature? Who owns it, where is it, what role does it play in our lives? Does it need to be tamed? Are we ourselves natural? In A Darker Wilderness, a constellation of luminary writers reflect on the significance of nature in their lived experience and on the role of nature in the lives of Black folks in the United States. Each of these essays engages with a single archival object, whether directly or obliquely, exploring stories spanning hundreds of years and thousands of miles, traveling from roots to space and finding rich Blackness everywhere. 
   
   
   
  Erin Sharkey considers Benjamin Banneker's 1795 almanac, as she follows the passing of seasons in an urban garden in Buffalo. Naima Penniman reflects on a statue of Haitian revolutionary François Makandal, within her own pursuit of environmental justice. Ama Codjoe meditates on rain, hair, protest, and freedom via a photo of a woman during a civil rights demonstration in Alabama. And so on with wide-ranging contributions unearthing evidence of the ways Black people's relationship to the natural world has persevered through colonialism, slavery, violence, and structurally racist policies. 
   
   
   
  A scrapbook, a family chest, a quilt—a work of historical engagement and literary accomplishment—A Darker Wilderness is a collection brimming with abundance and insight.

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  Tech Innovations - Breakthroughs...

  Craig Dames

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  Artificial Intelligence (AI) and Machine Learning (ML) are at the forefront of technological innovation, transforming nearly every sector and redefining how we live, work, and interact. These technologies, once confined to science fiction, now power tools and systems that many people use daily—from personalized recommendations on streaming platforms to virtual assistants and advanced data analysis in business and healthcare. 
  The rise of generative AI, such as large language models and image synthesis tools, marks a new era in machine intelligence. These systems can create human-like text, generate realistic images, compose music, and even design products. They're not just mimicking human creativity—they're expanding it, offering new ways for people to ideate and innovate across disciplines. Businesses are leveraging generative AI to automate content creation, improve customer service, and enhance productivity. While the creative potential is staggering, it also brings up questions about authorship, originality, and the future of creative professions. 
  AI is also becoming deeply embedded in everyday applications. Smartphones use AI to improve photos, optimize battery life, and enable voice recognition. In healthcare, AI helps doctors diagnose diseases with higher accuracy by analyzing medical images and patient data. Financial institutions use it to detect fraud and make investment decisions. Meanwhile, retailers personalize shopping experiences by analyzing customer behavior. In essence, AI is becoming the silent partner in many human decisions, making systems smarter, faster, and more adaptive.

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  Federated Learning - Unleashing...

  Ben Rizer

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  In an age where data privacy is paramount, "Federated Learning: The Role of Federated Learning in Shaping the Future of Privacy-Preserving AI" presents a groundbreaking exploration of how Federated Learning can revolutionize artificial intelligence while safeguarding sensitive information. This book delves deep into the intricacies of Federated Learning, a decentralized approach that enables multiple devices to collaboratively train machine learning models without sharing their raw data. 
  Beginning with an overview of traditional AI and its challenges, the book outlines the urgent need for privacy-preserving methodologies in our data-driven world. Readers will discover the fundamentals of Federated Learning, including its architecture, key algorithms, and the innovative frameworks that make it possible. 
  Through real-world case studies across various sectors—such as healthcare, finance, and IoT—this book illustrates how Federated Learning empowers organizations to harness the power of AI while maintaining the integrity and confidentiality of user data. The narrative is enriched with insights into the ethical considerations and governance frameworks necessary for responsible AI practices. 
  This book provides a comprehensive guide to understanding Federated Learning and its transformative potential. With practical implementation steps and a forward-looking perspective on emerging trends, "Federated Learning" is an essential resource for anyone looking to navigate the complexities of AI in a privacy-conscious landscape. 
  Join the journey to uncover how Federated Learning is shaping the future of artificial intelligence, paving the way for a new era of innovation that prioritizes user privacy without compromising on performance. 
   

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  Natural Cosmetic Formulation:...

  Alice Burrell

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  Save money now and learn how to make your own cosmetics at home! 
  Wouldn’t it be amazing if you could make your own beauty products? 
  You could have complete control over what goes into your cosmetics and be confident that they are just the way you like them. 
  And wouldn’t it be incredible if you could start a side business and sell something you’ve created with your own hands? 
  Making cosmetics sounds very difficult, whereas, in reality, it is a very easy process that can turn into a productive hobby. 
  With some pointers and tips from the experts, you can get started with making your favorite cosmetics much less expensive than store-bought. 
  All it takes are some normal cooking utensils, a few basic ingredients, and a little bit of time. 
  In this audiobook, you’ll:Uncover the chemistry behind product formulationUnderstand how you can do things like making emulsions at home with minimal gearFamiliarize yourself with the core principles of cosmetic manufacturingLearn to preserve your creations with preservatives and antioxidantsMaster different recipes to create all kinds of productsAchieve so much knowledge that you’ll be able to make customized products that meet your exact needs 
  If you suffer from a particular medical condition or off-the-shelf products don’t seem to be working well for you, there’s no reason to fret! With the guidelines in this audiobook and experts’ actionable advice, you can start making your own products today. 
  So, click the “add to cart” button and don’t spend another dollar on cosmetics when you can easily make them yourself at home.

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  Python Guide - Clear...

  Alexa Campbell

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  Machine learning is fast becoming an important technique used by multiple industries, and in applications and research. But you don’t have to be part of a massive organization with an endless pot of money to get involved. 
  Even beginners using the Python programming language can be a part of machine learning, and that is what this book is for. Today, the only limit to machine learning is your imagination. In this book, I provide you with an overview of machine learning and some practical work to get your hands dirty. 
  Here’s what you will learn:Important machine learning concepts and applicationsThe difference between supervised and unsupervised learningCommonly used supervised and unsupervised learning algorithms and modelsWhat libraries you will benefit from usingHow to visualize your dataRegression and classification learning modelsAn introduction to data scienceThe five-step plan to becoming a data scientistTen things that everyone needs to know about machine learning 
  You’ll even get a complete hands-on project that takes you through building your own machine learning project. 
  What you won't get is a lesson on using Python programming language; this book requires that you already know the basics. 
  So, if you are interested in taking your programming even further, scroll up, hit that Buy Now button, and start a new journey of discovery.

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