Otros libros que te pueden interesar

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  Energy Efficient Homes for Dummies

  Anónimo

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  Save money with hands-on, smart household energy solutions!Want to make eco-friendly changes in your house that will save energy? This practical guide is packed with tips and projects for increasing your home's energy efficiency while reducing costs and cutting down on waste and pollution. You'll see how to put together your own energy action plan based on your needs — and make your lifestyle more comfortable and enjoyable. 
   Learn from an energy expert — the author draws on his extensive experience to provide the best, most effective solutions Evaluate your energy usage — perform a home energy audit and identify the areas that need improvement Reduce inefficiencies inside and out — banish contaminants, seal and insulate your home, get more from your heating and air conditioning, fix leaks, and more Cut costs in every room — use the right lights and switches, stop wasting water, and lessen the load on appliances 
   
  Open the book and find: 
   Explanations of energy costs Advice on changing your consumption habits Instructions for calculating your carbon footprint The ten best efficiency investments Tips for financing energy improvements The pros and cons of different energy alternatives Top solar investments The most efficient ways to reduce waste

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  Waves and Earth Vibrations -...

  Greg Cetus

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  Indulge in the serene harmony of "Waves and Earth Vibrations," where the rhythmic crash of ocean waves against rugged lava cliffs intertwines with the deep resonance of earth tremors. This captivating recording offers a soothing ambiance, perfect for relaxation and meditation, as you immerse yourself in the tranquil embrace of nature's symphony.

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  Field Guide to Medicinal Wild...

  Bradford Angier

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  A revision of the definitive reference, containing plant characteristics, distribution, and medicinal qualities, an updated taxonomy, and fifteen new species.   The Field Guide to Medicinal Wild Plants is the ultimate handbook for identifying and using wild plants for medicinal purposes. This illustrated guide to North American wild medicinals has been a nature classic for over thirty years. In this second edition, David K. Foster revises Bradford Angier's invaluable reference, updating the taxonomy and adding more than a dozen species, including the purple coneflower, popularly known as echinacea, as well as ephedra, jewelweed, goldenseal, and more. Scientific information for a general audience and full-color illustrations combine with intriguing accounts of the plants’ uses, making this a practical guide for anyone interested in the medicinal uses of wild plants.

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  Deep Learning Guide for...

  SAM CAMPBELL

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  In an era where artificial intelligence is reshaping industries and unlocking new possibilities, understanding the fundamentals is crucial. "Deep Learning" serves as your comprehensive companion, unraveling the intricacies of neural networks from the ground up. 
  Discover the essence of machine learning, the evolution of artificial intelligence, and delve into the core of neural networks. Guided by practical examples and hands-on exercises, you'll learn to set up your environment, write code in Python, and grasp the essentials of popular frameworks like TensorFlow and PyTorch. 
  From the anatomy of a neuron to advanced architectures like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), this book demystifies the terminology and empowers you to build and train your own models. Real-world applications in image classification and natural language processing bring theory to life, demonstrating how deep learning transforms raw data into intelligent predictions. 
  Data is the fuel that powers deep learning, and "Deep Learning Demystified" equips you with the skills to preprocess and augment data effectively. Navigate the intricacies of loss functions, optimizers, and regularization techniques, ensuring your models are not just accurate but resilient. 
  As you progress, the book explores the ethical considerations in AI, current challenges, and emerging trends. Dive into case studies showcasing the transformative impact of deep learning across diverse industries, and access a wealth of resources to deepen your knowledge. 
  "Deep Learning " is not just a guide; it's an invitation to participate in the revolution of artificial intelligence. Are you ready to unlock the secrets of deep learning? The journey begins here. 
   

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  The Seaweed Revolution - How...

  Vincent Doumeizel

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  Accessible and engaging, topical reading with case studies from around the world. Written by world expert with guaranteed media coverage. First mainstream book looking at seaweed from an environmental standpoint. Will appeal to fans of popular science and those with interest in environmental issues.

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  Data Science on AWS - Unleashing...

  Saimon Carrie

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  "Data Science on AWS: Unlocking Scalable Solutions" is an essential guide for data scientists, machine learning engineers, and IT professionals seeking to leverage the comprehensive capabilities of Amazon Web Services to enhance their data science projects. This book provides a detailed exploration of the AWS ecosystem, offering insights into how its powerful tools and services can be used to store, process, and analyze vast amounts of data efficiently. 
  Starting with a foundation in cloud computing concepts and the basics of AWS, the book guides you through setting up a secure and robust data science environment. From managing data storage options like S3 and Redshift to conducting exploratory data analysis with tools like Athena and QuickSight, this guide ensures you have the know-how to handle data at scale. 
  Dive deeper into the mechanics of building, training, and deploying machine learning models using Amazon SageMaker, and explore advanced techniques using AWS's cutting-edge services for deep learning and reinforcement learning. Learn about scalable data processing capabilities with services like EMR and AWS Glue, and discover strategies for real-time and batch processing to keep your projects agile and responsive. 
  "Data Science on AWS" also covers vital operational practices, including securing your data infrastructure, monitoring and automating deployments, and optimizing costs. With practical advice and real-world examples, this book is not just about theory but about applying what you learn to solve real business problems effectively. 
  Whether you're looking to start a new data science project on AWS, streamline existing processes, or scale your applications, this book will be an invaluable resource, providing you with the tools and knowledge needed to succeed in the evolving landscape of data science in the cloud. 
   

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