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  Python Machine Learning for...

  Alexa Campbell

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  Have you thought about a career in data science? It's where the money is right now, and it's only going to become more widespread as the world evolves. Machine learning is a big part of data science, and for those that already have experience in programming, it's the next logical step. 
  Machine learning is a subsection of AI, or Artificial Intelligence, and computer science, using data and algorithms to imitate human thinking and learning. Through constant learning, machine learning gradually improves its accuracy, eventually providing the optimal results for the problem it has been assigned to. 
  It is one of the most important parts of data science and, as big data continues to expand, so too will the need for machine learning and AI. 
  Here's what you will learn in this quick guide to machine learning with Python for beginners:What machine learning isWhy Python is the best computer programming language for machine learningThe different types of machine learningHow linear regression worksThe different types of classificationHow to use SVMs (Support Vector Machines) with Scikit-LearnHow Decision Trees work with ClassificationHow K-Nearest Neighbors worksHow to find patterns in data with unsupervised learning algorithms 
  You will also find plenty of code examples to help you understand how everything works. 
  If you are ready to take your programming further, scroll up, click Buy Now, and find out why machine learning is the next logical step.

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  Poisonous Plants and Fatal Fungi...

  Sandra Kynes

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  Explore humanity's fascination with death through sixty poisonous plants and how they have affected history, magic, warfare, art, and more. 
   
  Dispatching people with poisonous plants isn't just an Agatha Christie plot—it began thousands of years ago and continues to this day. Deadly Fascination presents sixty profiles divided into five themes, from classic killers to frightful fungi. Each profile includes the plant's history, folklore, and medicinal uses, as well as how it may or may not be used today. 
   
  Though we fear death, we are also drawn to its mysteries. Sandra Kynes feeds our curiosity and dispels common myths, investigating witches and indigenous healers, poisons in popular media, the murky roots of toxicology, and much more. From aconite to poppy to death cap, poisonous plants can attract you like a moth to a flame . . . but don't get too close.

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  Certified Tinnitus Relief...

  Tinnitus Retraining Therapy

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  ***** Less Noise. More Life. ***** Living with tinnitus can feel like a constant battle for quiet—but you don't have to face it alone.Tinnitus Relief Soundscapes offer a soothing, science-based path to peace—helping your brain tune out the noise and reconnect with life.***** Quiet the Ringing. Reclaim Your Peace. ***** Tinnitus Relief Soundscapes gently train your brain to stop reacting to the noise—using the proven methods of Tinnitus Retraining Therapy (TRT). With calming environments crafted by experts, you'll shift your focus, ease emotional stress, and rediscover the quiet within.***** 22 Soothing Soundscapes, Backed by Science. ***** Each track is tuned to specific tinnitus types—from high-pitched ringing to low hums—and designed to help your brain naturally "filter out" the sound over time.***** Simple to Use. Designed for Real Life. ***** No experience needed—just pick the sound that best matches your tinnitus and let it play softly in the background as you work, rest, or sleep.***** Created by ENT Specialists & Audio Engineers ***** Trusted by audiologists and researchers across Europe and the U.S., these soundscapes blend medical insight with therapeutic audio design—for a gentle, natural path to relief.***** Easy. Natural. No Special Training Required. ***** Use the soundscapes while you work, relax, or sleep. Just a smartphone, headphones, and a few quiet minutes a day can set you on the path to peace.

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  Data Mesh - A Comprehensive...

  Vincent Berry

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  In "Data Mesh: A Comprehensive Guide to Decentralized Data Architecture," readers are introduced to a transformative approach to data management that challenges conventional centralized systems. This essential guide delves into the principles and practices of Data Mesh, advocating for a paradigm shift towards a domain-oriented, decentralized data architecture. This book is meticulously designed for data architects, CTOs, data engineers, and any professionals involved in data-intensive industries who seek to overcome the limitations of traditional data management and unlock greater flexibility and scalability. 
  The guide starts with a thorough introduction to the core concepts of Data Mesh, including its four foundational pillars: domain-oriented decentralization of data ownership, data as a product, self-serve data infrastructure, and computational governance. Each section not only explains the theoretical aspects but also illustrates practical implementations through case studies and real-world scenarios, providing readers with a clear pathway to adopting Data Mesh in their organizations. 
  Further chapters are dedicated to the technical implementations of Data Mesh, detailing the technological stack and strategies required to support a scalable and efficient decentralized data architecture. The book also addresses common challenges and pitfalls, offering expert advice on navigating cultural shifts, integrating legacy systems, and maintaining data interoperability. 
  "Data Mesh: A Comprehensive Guide to Decentralized Data Architecture" also explores the future prospects of Data Mesh, including its role in leveraging artificial intelligence and machine learning within a decentralized framework. It outlines how Data Mesh can drive innovation, enhance data security, and improve data compliance in a rapidly evolving digital landscape.

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  A Matter of Taste - A Farmers'...

  Rebecca Tucker

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  How farmer's markets and organic produce became synonymous with "good food" and why they shouldn't be.
     
  How did farmer's markets, nose-to-tail, locavorism, organic eating, CSAs, whole foods, and Whole Foods become synonymous with “good food”? And are these practices really producing food that is morally, environmentally, or economically sustainable? Rebecca Tucker's compelling, reported argument shows that we must work to undo the moral coding that we use to interpret how we come by what we put on our plates. She investigates not only the danger of the accepted rhetoric, but the innovative work happening on farms and university campuses to create a future where nutritious food is climate-change resilient, hardy enough to grow season after season, and, most importantly, available to all—not just those willing or able to fork over the small fortune required for a perfect heirloom tomato.
     
  Tucker argues that arriving at that future will require a broad cognitive shift away from the idea that farmer's markets, community gardens, and organic food production is the only sustainable way forward; more than that, it will require the commitment of research firms, governments, corporations, and post-secondary institutions to develop and implement agri­science innovations that do more than improve the bottom line. A Matter of Taste asks us to rethink what good food really is.

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  Fire

  Anonym

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  For readers and viewers of The Perfect Storm, opening this long-awaited new work by Sebastian Junger will be like stepping off the deck of the Andrea Gail and into the inferno of a fire burning out of control in the steep canyons of Idaho. Here is the same meticulous prose brought to bear on the inner workings of a terrifying elemental force; here is a cast of characters risking everything in an effort to bring that force under control. 
  Few writers have been to so many desperate corners of the globe as has Sebastian Junger; fewer still have provided such starkly memorable evocations of characters and events. From the murderous mechanics of the diamond trade in Sierra Leone to the logic of guerrilla warfare in Afghanistan and the forensics of genocide in Kosovo, this new collection of Junger's nonfiction will take you places you wouldn't dream of going to on your own.

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