Outros livros que poderiam interessá-lo

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  Wearable Technology -...

  Craig Dames

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  Wearable technology has rapidly transformed from a niche innovation to an integral part of modern life. From smartwatches that count our steps to clothing embedded with biometric sensors, wearable tech is shaping how we manage our health, interact with our environment, and even express our personal style. The evolution of wearables reflects not only advancements in hardware and software but also shifting consumer expectations toward more seamless and personalized digital experiences. 
  The origins of wearable technology can be traced back to simple pedometers and heart rate monitors used in fitness. Over time, these devices evolved with the integration of wireless communication, miniaturized sensors, and artificial intelligence. Today, wearables are capable of monitoring a range of physiological and environmental data in real time. They’re designed to be both functional and discreet, often appearing as everyday accessories like watches, rings, eyeglasses, or even fabric. This convergence of fashion and function has helped wearables gain mainstream appeal across various demographics. 
  At the heart of wearable technology are several key components. Sensors are fundamental, enabling the device to track everything from movement to temperature to heart rate variability. These sensors collect data, which is then processed by microprocessors embedded within the wearable. Wireless connectivity, typically through Bluetooth or Wi-Fi, allows information to be transmitted to smartphones or cloud-based platforms for analysis and visualization. The user interface, often displayed through a mobile app, gives individuals meaningful feedback that helps them make informed decisions about their health and lifestyle.

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  Search for Exoplanets The: The...

  Editors Charles River

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  While modern technology has helped astronomers view the furthest reaches of the Solar System, it has also allowed scientists to start discovering planets orbiting distant stars. To make it easier to assess the relative mass and size of the new planets being discovered, scientists give these measurements as multiples of those properties for either Jupiter or Earth. In other words, if the planet is the same mass as Jupiter, then this measure would be listed as 1.0 MJ. If it were three times the mass of Earth, then it would be listed as 3.0 MEarth. The sizes of exoplanets are frequently given by expressing their radii as multiples of Jupiter’s radius or as multiples of Earth’s radius, RJ and REarth, respectively.  
  	Of course, given the immense distances involved, detecting exoplanets has always been hard, even to this day. The variations of light that might be evidence of an exoplanet can be caused by other phenomena, and separating the false positives from the actual detections is part of the rigor required by modern planet hunters. For example, in July 1988, a Canadian team led by astronomers Bruce Campbell, Gordon Walker, and Stephenson Yang discovered persistent indications that a planet orbited the primary star in the Gamma Cephei system, 44.98 light-years (13.79 parsecs) from the Earth. Though the technique they used was successfully employed in many subsequent discoveries, the quality of their data was insufficient for others to verify as unequivocally the result of an extrasolar planet. For reasons of poor data quality, the claimed discovery of Gamma Cephei Ab was retracted in 1992.  
  	The first confirmed discovery of an exoplanet involved a system that surprised most planet hunters. While most astronomers had been looking to find planets orbiting stars in the main sequence (between infancy and old age) or in their old age (giant phase), the first confirmed planets were found to orbit a dead star.

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  Self-Care for Well-Being -...

  Anna Bridges

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  Self-care is the conscious practice of taking care of oneself—physically, mentally, and emotionally—by engaging in activities that promote well-being. It is about recognizing the need for balance and nurturing our whole self. When we engage in self-care, we are actively choosing to invest in our health and happiness, which in turn enhances our ability to care for others and handle life’s challenges. It’s a practice that requires time, effort, and commitment, but its benefits are immeasurable. 
    
  The connection between mind, body, and spirit is at the heart of self-care. Each of these areas is intricately linked, and neglecting one can affect the others. For example, mental stress can lead to physical fatigue, and physical health challenges can impact our emotional state. When we address our self-care needs holistically, we are nurturing all aspects of our being, fostering a sense of harmony that radiates throughout our lives. By giving attention to each part of ourselves—our thoughts, our body, and our spirit—we cultivate a sense of balance and fulfillment that supports long-term well-being.

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  Metaverse for Beginners: The...

  Donn Newman

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  If you want to be one step ahead and avoid missing out on the next big thing, then pay attention… 
  Are you ready for the next evolution of the internet? 
  Do you want to get involved in the Metaverse craze but don’t know where to start? 
  Have you been dabbling in this space for a while, but you still feel like you’re missing something? 
  Mark Zuckerberg, CEO of Facebook, believes the internet is – or will eventually become – a type of “Metaverse” that people can use for various purposes. The truth is, the term “Metaverse” refers to a very complex concept that is difficult to summarize. 
  In this audiobook, you’ll:Explore the history of the MetaverseUnderstand what a Metaverse is under its many definitionsLearn all about different technologies that can be used to create a MetaverseLearn about the benefits and risks of investing in the MetaverseDiscover how cryptocurrency and NFTs play into the MetaverseMaster how to make money in the MetaverseUnderstand how the Metaverse will affect your future 
  To be a part of the future, it’s important to stay educated on the latest and most innovative trends. Whether you choose to invest, build something in the Metaverse or just keep your eye on it from the sidelines, this audiobook is perfect for those wanting to know more about the phenomenon. 
  Click the “add to cart” button now and venture into the world of the Metaverse.

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  LinkedIn Marketing - How to Use...

  Mark Boman

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  Forget the old concept of the traditional cold call for lead generation model, get in on the new early wave of LinkedIn marketing that will turn your Leads into trusting customers 
  Whether your goal is to build your own personal brand or to get new clients for a company you work with this book will show you step-by-step how to market your LinkedIn profile and company profile to get hot leads. Once you execute and find the right way that works for you from there it gets very scalable. Whether you have an account or not this guide was made for your to create and optimize. 
  Inside this book, you'll discover... 
  -Where LinkedIn is headed and how to act accordingly 
  -How to optimize your profile so that leads convert into clients 
  -How to effectively use content marketing on Linkedin 
  -How to use a 'premium' account to get more warm leads 
  -How to actually sell your prospects

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  Hands-On Large Language Models -...

  Maarten Grootendorst, Jay Alammar

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  AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. With this book, listeners will learn practical tools and concepts they need to use these capabilities today. 
   
   
   
  You'll understand how to use pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; and use existing libraries and pretrained models for text classification, search, and clusterings. 
   
   
   
  This book also helps you understand the architecture of Transformer language models that excel at text generation and representation; build advanced LLM pipelines to cluster text documents and explore the topics they cover; build semantic search engines that go beyond keyword search, using methods like dense retrieval and rerankers; explore how generative models can be used, from prompt engineering all the way to retrieval-augmented generation; and gain a deeper understanding of how to train LLMs and optimize them for specific applications using generative model fine-tuning, contrastive fine-tuning, and in-context learning.

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