Altri libri che potrebbero interessarti

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  97 Things Every Data Engineer...

  Tobias Macey

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  Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. 
   
   
   
  Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents ninety-seven concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. Topics include: 
   
   
   
  ● The Importance of Data Lineage—Julien Le Dem 
   
   
   
  ● Data Security for Data Engineers—Katharine Jarmul 
   
   
   
  ● The Two Types of Data Engineering and Data Engineers—Jesse Anderson 
   
   
   
  ● Six Dimensions for Picking an Analytical Data Warehouse—Gleb Mezhanskiy 
   
   
   
  ● The End of ETL as We Know It—Paul Singman

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  West Nile Virus - Basics to...

  Anonimo

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  This audiobook is narrated by an AI Voice.   
  West Nile Virus - Basics to Mastery guides you from first encounter with a mosquito-borne flaviviral infection to confident, nuanced decision-making. Clear explanations unpack how West Nile circulates between birds and Culex mosquitoes, why humans and horses are usually dead-end hosts, and what drives the spectrum from silent infection to life-threatening neuroinvasive disease. Because there is currently no licensed human vaccine and treatment is mainly supportive, you will see why prevention hinges on reducing mosquito exposure and recognizing early warning signs in those at higher risk. Along the way you follow realistic late-summer scenarios—from a young adult with West Nile fever to an older patient with encephalitis—to see how epidemiology, clinical clues, and basic lab data fit together. Designed for students, clinicians, veterinarians, and public health professionals, this book emphasizes evidence-based practice, practical prevention strategies, and respectful communication with worried families while always reminding readers that it cannot replace individualized medical advice from qualified providers. 
  ✓ Stepwise introduction to virology, immunology, and vector biology tailored to West Nile rather than generic mosquito-borne infections. 
  ✓ Clear algorithms for triage, diagnostic testing, and interpretation, including when to suspect neuroinvasive disease and involve specialists. 
  ✓ Up-to-date synthesis of global and regional epidemiology, risk factors, and seasonal patterns, with tips for reading surveillance reports critically. 
  ✓ Practical prevention playbook covering personal protection, household mosquito control, and community-level vector management strategies. 
  ✓ Ready-to-use teaching tools: summary tables, memory aids, and case-based questions that reinforce learning from basics through advanced mastery.

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  Hands-on ML Projects with OpenCV

  Mugesh S.

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  Be at your A game in building Intelligent systems by leveraging Computer vision and Machine Learning. 
  
  KEY FEATURES 
  - Step-by-step instructions and code snippets for real world ML projects. 
  - Covers entire spectrum from basics to advanced concepts such as deep learning, transfer learning, and model optimization
  - Loaded with practical tips and best practices for implementing machine learning with OpenCV for optimising your workflow. 
  
  DESCRIPTION
  This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. 
  
  Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It’s an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. 
  
  By the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications. 
  
  Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python. 
  
  WHAT WILL YOU LEARN 
  - Learn how to work with images and perform basic image processing tasks using OpenCV. 
  - Implement machine learning techniques to computer vision tasks such as image classification, object detection, and image segmentation. 
  - Work on real-world projects and datasets to gain hands-on experience in applying machine learning techniques with OpenCV. 
  - Explore the concepts of deep learning using Tensorflow and Keras and how it can be used for computer vision tasks. 
  - Understand the concept of transfer learning and how pre-trained models can be leveraged for new tasks. 
  - Utilize techniques for model optimization and deployment in resource-constrained environments. 
  - Implement end-to-end solutions and address challenges encountered in practical scenarios. 
  
  WHO IS THIS BOOK FOR?
  This book is for everyone with a basic understanding of programming and who wants to apply machine learning in computer vision using OpenCV and Python. Whether you're a student, researcher, or developer, this book will equip you with practical skills for machine learning projects. Some familiarity with Python and machine learning concepts is assumed. Beginners too will find this book valuable as it offers clear examples and explanations for every concept. 
  
  TABLE OF CONTENTS 
  Chapter 1: Getting Started With OpenCV 
  Chapter 2: Basic Image & Video Analytics in OpenCV
  Chapter 3: Image Processing 1 using OpenCV
  Chapter 4: Image Processing 2 using OpenCV
  Chapter 5: Thresholding and Contour Techniques Using OpenCV 
  Chapter 6: Detect Corners and Road Lane using OpenCV
  Chapter 7: Object And Motion Detection Using Opencv
  Chapter 8: Image Segmentation and Detecting Faces Using OpenCV
  Chapter 9: Introduction to Deep Learning with OpenCV
  Chapter 10: Advance Deep Learning Projects with OpenCV
  Chapter 11: Deployment of OpenCV projects

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  The Secrets of the Human Brain –...

  Waylon Ward

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  The human brain is the most complex and powerful structure in the universe, but how does it really work? What makes us intelligent, self-aware, and creative? 
  This audiobook takes you on a journey through the cutting-edge world of neuroscience and cognitive science, revealing the mysteries of intelligence, consciousness, and the future of brain enhancement. Discover: 
  ✅ How memories are formed and why we forget 
  ✅ The difference between human intelligence and artificial intelligence 
  ✅ What modern neuroscience reveals about consciousness and free will 
  ✅ How brain injuries and disorders unlock hidden brain functions 
  ✅ The future of brain-computer interfaces and neural implants 
  The Secrets of the Human Brain – Unlocking Intelligence & Consciousness is a must-listen for *science lovers, psychologists, students, and anyone fascinated by the power of the mind.

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  Building Decentralized...

  Shri Raghu Thiyagharajan

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  The Definitive Guide to Mastering Ethereum-Powered Applications
  Book Description
  Blockchain technology is revolutionizing the digital world, offering transparency, security, and decentralization. This book, Building Decentralized Applications with Ethereum and Solidity, serves as a comprehensive guide to mastering blockchain development using Ethereum, the most widely adopted platform for decentralized applications (DApps). Designed for developers, blockchain enthusiasts, and professionals, it provides a clear understanding of blockchain concepts while equipping readers with practical skills to create secure and scalable smart contracts.
  The book begins with the fundamentals, introducing blockchain technology, cryptography, and the architecture of platforms including Bitcoin and Ethereum. It then delves into advanced topics, including Solidity programming, smart contract development, and tokenization standards such as ERC20 and ERC721. Readers will learn to develop, deploy, and test DApps while exploring critical areas such as security best practices, scalability solutions, and the future of blockchain technology.
  Table of Contents
  1. Introduction to Blockchain Technology
  2. Cryptography, Wallets, and Exchanges
  3. Consensus Mechanisms and the Blockchain Trilemma
  4. Bitcoin Architecture and Monetary Policy
  5. Getting Started with Ethereum
  6. Smart Contracts and Decentralized Applications (DApps)
  7. Solidity Programming Fundamentals
  8. Advanced Solidity and Smart Contract Development
  9. Tokenization and Token Standards
  10. Development Tools and Frameworks
  11. Security and Best Practices in Smart Contract Development
  12. Scaling Solutions and the Future of Ethereum
  13. Blockchain Applications Across Industries      
  
  Index

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  The One Thing You Need to Know -...

  Marcus Chown

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  Rather than trying to bend your mind around all the vast and confounding details of things such as gravitational waves, electricity, and black holes, wouldn't it be easier to understand just one central concept from which everything else follows? 
   
   
   
  If you've ever found yourself fascinated by the idea of quantum computing but feel a little overwhelmed by the mind-blowing subject of quantum mechanics or concerned by climate change but haven't been able to get to grips with the details of global warming, this book is for you. Let's take atoms, for example—what on earth are they? Well, if you start to think of them less like things you can't see with complex little nuclei and more like the alphabet of nature, they might start to feel a little more understandable. Or gravitational waves—why are they creating so much excitement? Think of them as the voice of space, vibrations on the drumskin of space-time—before delving into all their complexities. 
   
   
   
  Chown explains the one thing you need to know to understand some of the most important scientific ideas of our time. Packed full of astounding facts, scientific history, and the entertaining personalities at the heart of the most pivotal discoveries about the workings of our universe, this is an accessible guide to all the tricky stuff you've always wanted to understand more about.

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