Outros livros que poderiam interessá-lo

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  Elephant Mountain - A Remarkable...

  Debbie Ethell

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  Elephant Mountain is the gripping tale of Debbie Ethell, a young woman whose fascination with an elephant skull in a bone museum leads her down an unexpected path. What begins as a curiosity about the tragic love story of Morgan Berry, the man who gave us Packy (the first baby elephant born in a U.S. zoo in forty-four years), and Eloise Berchtold, one of the world’s greatest animal trainers, soon becomes a chilling mystery. The couple, each killed by separate elephants they raised, left behind a legacy tangled in secrets, cover-ups, and unanswered questions. 
  As former owners of a secluded elephant farm in the rugged Pacific Northwest, Morgan and Eloise’s lives and deaths hold the key to a truth long buried beneath layers of deception. Determined to uncover what really happened, Debbie draws on her experience as a conservation research scientist and the steadfast support of her best friend, who is facing a life-threatening illness. While navigating the shadows of her own past, including her ongoing recovery from alcoholism, Debbie finds courage and insight from a herd of wild elephants in Kenya, a group she has studied since childhood. Their stories of survival and loss mirror her own as she delves deeper into a mystery that will test her resolve and redefine her future.

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  Deep Learning for Beginners: 2 in 1

  Steven Cooper

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  2 books in 1! This is the bundle of two successful books in the market.Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn:•	Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. •	The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. •	The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. •	The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity.•	And much more...Book 2: In "Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees" you will learn:•	In depth information about what data science is and why it is important.•	The prerequisites you will need to get started in data science.•	What it means to be a data scientist.•	The roles that hacking and coding play in data science.•	The different coding languages that can be used in data science.•	Why python is so important.•	How to use linear algebra and statistics.•	The different applications for data science.•	How to work with the data through munging and cleaning•	And much more...Get your copy of these fantastic guides to master state-of-the-art, deep learning algorithms and their implementation!

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  Quantum Mechanics for Beginners...

  SAM CAMPBELL

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  Dive into the mesmerizing world of quantum mechanics with "Quantum Mechanics". This accessible and comprehensive book takes you on a captivating journey through the fundamental principles that govern the behavior of particles at the tiniest scales. 
  In the opening chapters, discover the revolutionary origins of quantum mechanics, encountering concepts like wave-particle duality and the double-slit experiment that challenge our conventional understanding of reality. Explore the fascinating phenomenon of quantum superposition, where particles can exist in multiple states simultaneously, setting the stage for the mind-bending nature of the quantum world. 
  Delve into the intricacies of quantum states, wavefunctions, and the uncertainty principle, gaining insight into the mathematical tools that physicists employ to describe the quantum realm. Unravel the mysteries of quantum entanglement, a phenomenon that links particles across space in ways that defy classical intuition, and explore the implications of Bell's theorem and quantum teleportation. 
  Schrödinger's cat takes center stage as we examine the paradoxical nature of quantum measurement, discussing the collapse of the wavefunction and the concept of quantum decoherence. Throughout the book, various interpretations of quantum mechanics are explored, from the Many-Worlds Interpretation to the Copenhagen Interpretation and beyond. 
  "Quantum Mechanics" is more than a guide; it's an invitation to embrace the wonder and mystery of the quantum realm. Whether you're a curious beginner or someone seeking a deeper understanding, this book provides a solid foundation for navigating the intricacies of quantum mechanics. Prepare to be intrigued, challenged, and inspired as you embark on this adventure into the heart of the quantum universe. 
   

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  Weather Science - How...

  Brian Clegg

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  Everyone has an interest in the weather, whether it's to check the prospects for a day out or to know when best to harvest a crop. The Earth's weather systems also provide some of the most dramatic forces of nature, from the vast release of energy in a lightning flash to the devastating impact of tornadoes and hurricanes. 
   
  For centuries, our only real guide to future weather was folklore, but with the introduction of the first weather forecasts and maps in Victorian times, attempts were made to give some warning of the weather to come. Until relatively recently, these forecasts could be wildly inaccurate - think of Michael Fish's denial that there was a storm on the way the night before the UK's great storm of 1987. This was due to the mathematically chaotic nature of weather systems, first discovered in the 1960s, the understanding of which would transform forecasting from the 1990s and mean that meteorologists became some of the foremost users of supercomputers. 
   
  From the crystalline perfection of the snowflake to the transfer of energy from the Sun, science lies at the heart of the weather and our understanding of it. In recent years, weather science has moved to the leading edge with advanced modelling, versatile use of satellite data and a better understanding of mathematical chaos. This is a true example of hot science at work.

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  Sirius the Star of the Maltese...

  Lenie Reedijk

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  Sirius, the Star of the Maltese Temples invites the reader to look at the megalithic temples of Malta in an entirely new way. The discovery of the temples’ orientation to Sirius explains with mathematical precision the slight shift in the direction of their axes, caused by the movement of the stars called the Precession of the Equinoxes. The resultant astronomical dating of the temples to the Mesolithic, the period immediately after the last Ice Age, is far older than mainstream archaeology maintains and is on a par with other megalithic sites elsewhere, including Göbekli Tepe in Turkey. These findings turn on its head our conception of the accomplishments of ancient people. Instead of being just primitive cave-dwellers, they were primeval astronomers, whose interest in the sky has left us a legacy we never dreamt existed. 
  From the Foreword by Giovanni Bonello: “This is a disturbing book. The author defines its contents as controversial and its conclusions as surprising. I judge it to be far, but far, more than that. It is disruptive of accepted wisdom and unsettles all we believe we knew of the origin of man in Malta, of the sequences of early civilization and the histories of prehistory – not in Malta alone, but throughout the whole of Europe. I started reading it in awe, at first with a deliberate effort at disbelief. By the time I was approaching the climax of the exposition, I ended as mesmerized as I was perplexed.” 
  (Giovanni Bonello is a human rights lawyer and judge who served at the European Court of Human Rights for 12 years)

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  Computer Vision for Beginners -...

  Robert Francis

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  Unlock the mysteries of the digital world through the lens of computer vision with "Computer Vision for Beginners." This comprehensive guide is tailored for beginners eager to embark on a journey into the captivating realm of visual data processing and analysis. From the basics of image processing to the intricacies of machine learning and convolutional neural networks, this book serves as your compass in navigating the landscape of computer vision. 
  Embark on a captivating exploration of the visual world as "Computer Vision for Beginners" equips you with the knowledge and skills to comprehend, create, and contribute to the evolving field of computer vision. With a blend of theory and practical application, this book is your gateway to understanding the present and shaping the future of visual computing. Get ready to witness the world in a new light!

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