Altri libri che potrebbero interessarti

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  Renewable energy auctions:...

  Irena International Renewable...

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  Renewable energy auctions have become a popular instrument for the deployment of renewables around the world, and Southeast Asia is no exception.

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  Deep Learning

  Manish Soni

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  Welcome to "Deep Learning: A Comprehensive Guide," a book meticulously designed to cater to the needs of learners at various stages of their journey into the fascinating world of deep learning. Whether you are a beginner embarking on your first exploration into artificial intelligence or a seasoned professional looking to deepen your expertise, this book aims to be your trusted companion. 
  Deep learning, a subset of machine learning, has revolutionized the field of artificial intelligence, enabling advancements that were once thought to be the stuff of science fiction. From autonomous vehicles to sophisticated natural language processing systems, deep learning has become the backbone of many cutting-edge technologies. Understanding and mastering deep learning is not just a desirable skill but a necessity for anyone looking to thrive in the modern tech landscape. 
  What This Book Offers 
  This book is not just a theoretical exposition but a practical guide designed to provide you with a holistic learning experience. Here's a glimpse of what you can expect: 
  Structured Content: 
  Starts with neural network basics and advances to topics like convolutional, recurrent, and generative adversarial networks. 
  Each chapter builds on the previous, ensuring a comprehensive learning journey. 
  Online Practice Questions: 
  Each chapter includes practice questions from basic to advanced levels to test and reinforce your understanding. 
  Videos: 
  Instructional videos complement the book's content, offering step-by-step explanations and real-life applications. 
  Exercises and Projects: 
  Includes exercises and hands-on projects that simulate real-world problems, providing practical experience. 
  Lab Activities: 
  Features lab activities using frameworks like TensorFlow and PyTorch for hands-on experimentation with deep learning models. 
  Case Studies:

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  Kickstart Compiler Design...

  Sandeep R

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  Unveiling Compiler Secrets from Source to Execution.
  Book Description
  Compilers are the backbone of modern computing, enabling programming languages to power everything from web applications to high-performance systems. Kickstart Compiler Design Fundamentals is the perfect starting point for anyone eager to explore the world of compiler construction.
  This book takes a structured, beginner-friendly approach to demystifying core topics such as lexical analysis, syntax parsing, semantic analysis, and code optimization. The chapters follow a progressive learning path, beginning with the basics of function calls, memory management, and instruction selection. As you advance, you’ll dive into machine-independent optimizations, register allocation, instruction-level parallelism, and data flow analysis. You’ll also explore loop transformations, peephole optimization, and cutting-edge compiler techniques used in real-world frameworks like LLVM and GCC. Each concept is reinforced with hands-on exercises, practical examples, and real-world applications.
  Table of Contents
  1. Introduction to Compilers
  2. Lexical Analysis and Regular Expressions
  3. Lexical Analyzer Generators and Error Handling
  4. Syntax Analysis Context-Free Grammars
  5. Parsing Techniques
  6. Semantic Analysis Attribute Grammars
  7. Intermediate Code Generation
  8. Control Flow
  9. Run-Time Environment and Memory Management
  10. Function Calls and Exception Handling
  11. Code Generation and Instruction Selection
  12. Register Allocation and Scheduling
  13. Machine-Independent Optimizations and Local and Global Techniques
  14. Loop and Peephole Optimization
  15. Instruction-Level Parallelism and Pipelining
  16. Optimizing for Parallelism and Locality
  17. Inter Procedural Analysis and Optimization
  18. Case Studies and Real-World Examples
  19. Hands-on Exercises and Projects       
  
  Index

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  Firing the Cloud - How Humanity...

  Ylia Callan

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  This audiobook is narrated by an AI Voice. Firing the Cloud: How Humanity Survived and Accelerated is a sweeping, provocative journey through 15,000 years of human history tracing how we evolved from small, fire-lit bands of hunter-gatherers to a globally networked civilisation living inside a digital cloud. 
   
  The book explores the great transitions that shaped us: the Agricultural Revolution’s trade of autonomy for stability, the Industrial Age’s relentless acceleration and the Technological Era’s shift from reality to virtuality. Each chapter weaves anthropology, history, and systems thinking to reveal what we gained and what we lost at every turn. 
   
  Thoughtful, urgent and ultimately hopeful, this audiobook challenges listeners to become memory-keepers of the human story and to shape a future that is not only faster, but wiser.

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  Neanderthals - Fact Fiction and...

  Jeffrey H. Schwartz

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  In the early twentieth century, paleoanthropologists interpreted the differences between specimens of an expanding human fossil record as reflecting taxonomic and evolutionary diversity. Why, then, in the 1940s, did geneticist Theodosius Dobzhansky reconfigure human evolution into one, profoundly morphologically variable lineage which changed slowly through time? Neanderthals exposes, for the first time, the history of how conceptions of race have configured interpretations of the first-found human fossils; how assumptions underlying human fossils were and still are interpreted as to species and their evolutionary relationships.No matter how "different" Nazis thought living humans were, differences between Neanderthals and bigger-browed, chunkier-faced specimens and living humans trivialized the differences between living humans. In 1950, without basis, taxonomist Ernst Mayr lumped all fossil and extant humans into three transforming species of genus Homo: transvaalensiserectussapiens; sapiens subsumed humans, Neanderthals, and even less morphologically sapiens-like specimens. In 1962, at a Wenner-Gren Foundation meeting, participants voted to keep these specimens, Neanderthals, and humans in Homo sapiens.Even when Neanderthals were returned to species neanderthalensis, the assumption remained: humans and Neanderthals interbred. In a press release, the Committee that awarded Svante Pääbo the Nobel Prize for "demonstrating" human inheritance of Neanderthal "genes" made clear that his claims were predicated on assuming Neanderthal-human interbreeding. It's remarkable how received wisdom continues to influence paleoanthropologists and molecular anthropologists who then present as fact, to a naïve public, assumptions that are biologically and evolutionarily wrong.

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  Consciousness - How Our Brains...

  John Parrington

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  What is the material basis of the thoughts that occur inside our heads?
  
  Where do imaginative, creative, or spiritual thoughts come from - can these really be the product of nerve impulses in the brain? And is the human mind radically different from that of other species, or is our uniqueness more superficial than real?
  
  In this book, Oxford biologist John Parrington proposes a radical new theory of human consciousness, arguing that a qualitative leap in consciousness occurred during human evolution as language and tool use transformed our brains. Rejecting outdated views of the brain as a hard-wired circuit diagram, he draws on the latest insights from neuroscience to show that meaning is created within our heads through a dynamic interaction of oscillating brain waves.
  
  This new model of consciousness not only provides a material basis of our innermost thoughts but also explains why the mind can sometimes go wrong, causing deep mental distress.

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