Outros livros que poderiam interessá-lo

• 

  Neural Networks for Beginners -...

  Brandon Scott

  • 0
  • 0
  • 0

  Embark on an enlightening journey into the fascinating world of neural networks with "Neural Networks for Beginners: A Journey Through the World of Artificial Intelligence." This comprehensive guide is meticulously crafted for absolute beginners, offering a gentle introduction to the complex and intriguing domain of artificial intelligence (AI) through the lens of neural networks. 
  With no prior knowledge required, readers are taken step by step through the foundational concepts, building blocks, and architectures that make neural networks a powerful tool in modern technology. From understanding basic terminology to exploring the architecture of various neural network models, this book demystifies AI and provides clear, engaging explanations that are accessible to all. 
  "Neural Networks for Beginners" is more than just a textbook; it's a hands-on guide that includes practical applications and project ideas, encouraging readers to apply what they learn. Through captivating case studies across diverse industries, the book showcases the real-world impact of neural networks and sparks curiosity about their potential. 
  Additionally, "Neural Networks for Beginners" provides a wealth of resources for further learning, including a glossary of key terms, a brief overview of the mathematical foundations of neural networks, and an extensive list of books, courses, websites, and communities for continued exploration. 
  Whether you're a student, professional, or simply curious about artificial intelligence, "Neural Networks for Beginners" offers an engaging and informative path to understanding and applying neural networks in the real world. Join us on this journey and unlock the potential of AI to transform the future.

  Ver livro

• 

  In the Dark - New Ways to Avoid...

  Jason Bawden-Smith

  • 0
  • 0
  • 0

  Do you spend the majority of your day in front of a laptop, in artificial light? Then drive home, chatting on your Bluetooth before heating up your dinner in the microwave? Then you “relax” with your iPad, glancing at your flat screen TV that’s downloading the latest movie, before setting the alarm on your phone and sleeping with it next to your head, the smart meter buzzing away in the background? 
  Here’s another question: How do you feel? Any headaches or ringing in the ears? Lack of energy? Putting on weight? Annoying little allergies? Ever wondered if there’s a connection? 
  Author and environmental scientist Jason Bawden-Smith believes that, with regard to the harmful effects of living in a technologically connected world, we are currently living in the dark. 
  There’s no doubt technology serves great function in this day and age, and will continue to do so. In The Dark simply brings stronger awareness to the adverse effects technology can have, and offers simple and practical measures that people can take, without feeling they have to compromise the lifestyle they want.

  Ver livro

• 

  Discovering the Spiritual Wisdom...

  Leah Rampy, Beth Norcross

  • 0
  • 0
  • 0

  Trees have much to offer as soul friends, and their millennia of growth and loss provide deep wisdom, if we know how to pay attention. The Spiritual Wisdom of Trees encourages us to revel in the beauty and wonder of trees as they increase our capacity to bear witness to loss and grief. Integrating science and spirituality, coauthors Beth Norcross and Leah Rampy explore the knowledge held within the living world of trees and planted within each of us. 
   
   
   
  Drawing on extensive experience in both forest ecology and spirituality, Norcross and Rampy invite us into a deep mutual relationship with trees, whose wisdom provides comfort, resilience, guidance, and hope. Living amid the uncertainty of climate chaos and biodiversity loss, we experience loneliness, anxiety, grief, and fear. Such times call us to a fuller spiritual presence, richer connections to the world around us, and a deeper knowing that all are held within a sacred web of life. 
   
   
   
  Pulling from the Center for Spirituality in Nature organization's coursework, Norcross and Rampy offer us guidance and practices based on their experiences leading walks, retreats, and pilgrimages for over two decades. When we learn the ecology of the forest and how to be present in nature, our eyes are opened to the awe and wonder of our world, deepening our sense of sacred oneness.

  Ver livro

• 

  Large Language Models (LLMs) - A...

  Sam Miley

  • 0
  • 0
  • 0

  Large Language Models (LLMs) are revolutionizing the way we interact with technology—powering chatbots, automating content creation, summarizing information, writing code, and even generating art. Large Language Models (LLMs) is your definitive guide to understanding these groundbreaking AI systems and how they’re reshaping industries, workflows, and everyday life. 
  This book demystifies the inner workings of LLMs like GPT, BERT, and Claude. You’ll learn how they’re built, how they learn from vast amounts of data, and how they’re deployed in real-world applications. With accessible explanations, real-life examples, and ethical insights, this book provides a well-rounded view of both the capabilities and limitations of LLMs. 
  Inside, you’ll explore: 
  •	The foundations of large language models and natural language processing (NLP) 
  •	How models like GPT, BERT, and T5 are trained and fine-tuned 
  •	Practical use cases in customer service, research, education, software development, and more 
  •	Tools and platforms for working with LLMs, including Hugging Face and OpenAI APIs 
  •	Challenges around bias, hallucinations, data privacy, and responsible AI 
  •	The future of LLMs and their potential in multimodal AI, reasoning, and autonomy 
  Large Language Models (LLMs) offers a comprehensive and engaging roadmap.

  Ver livro

• 

  Hidden in the Heavens - How the...

  Jason Steffen

  • 0
  • 0
  • 0

  Are we alone in the universe? It's a fundamental question for Earth-dwelling humankind. Are there other worlds like ours, out there somewhere? In Hidden in the Heavens, Jason Steffen, a former scientist on NASA's Kepler mission, describes how that mission searched for planets orbiting Sun-like stars—especially Earth-like planets circulating in Earth-like orbits. What the Kepler space telescope found, Steffen reports, contradicted centuries of theoretical and observational work and transformed our understanding of planets, planetary systems, and the stars they orbit. Kepler discovered thousands of planets orbiting distant stars—a bewildering variety of celestial bodies, including rocky planets being vaporized by the intense heat of their host star; super-Earths and sub-Neptunes; gas giants several times the size and mass of Jupiter; and planets orbiting in stellar systems that had only been imagined in science fiction. 
   
   
   
  Steffen offers a unique, inside account of the work of the Kepler science team (and the sometimes chaotic interactions among team members), mapping the progress of the mission from the launch of the rocket that carried Kepler into space to the revelations of the data that began to flow to the supercomputer back at NASA—evidence of strange new worlds unlike anything found in our own solar system.

  Ver livro

• 

  Python Machine Learning for...

  Brian Murray

  • 0
  • 0
  • 0

  "Python Machine Learning Essentials: 3 in 1 Guide" is a comprehensive guide for beginners who want to learn machine learning with Python. In this book, you will learn the foundations of machine learning, including different types of algorithms and the importance of data preprocessing. You will also learn how to build your first AI application, from collecting and preprocessing data to building and training a model, and then deploying and testing the application. 
  As you progress through the book, you will explore advanced machine learning techniques such as deep learning and convolutional neural networks for image recognition. You will also learn how to apply machine learning to real-world problems, such as building a spam filter, predicting stock prices, and performing sentiment analysis. 
  Throughout the book, you will learn best practices for machine learning in Python, including tips for efficient data preprocessing, strategies for selecting the right machine learning algorithm, techniques for optimizing model performance, and debugging common errors. 
  By the end of the book, you will have the skills and knowledge needed to build your own machine learning applications with Python. Whether you're new to programming or have experience in other languages, "Python Machine Learning Essentials: Build Your First AI Application" will help you unlock the power of artificial intelligence and take your skills to the next level. 
   

  Ver livro