Weitere Bücher, die Sie mögen werden

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  Hypnosis for Inner Peace -...

  Empowered Living

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  The advantages of hypnosis therapy are widespread. A lot of individuals report positive changes with hypnosis and it's recognized as a valid type of holistic alternative medicine. 
  Hypnosis is a popular technique utilized for weight loss, overcoming addiction, healing, achieving goals, relaxation and stress relief. It's utilized to get rid of undesired behaviors and beliefs and to manifest new desires and achieve goals in life. 
    
  If you wish to influence your subconscious mind to accept new programming for positive alterations hypnosis is an effective technique for doing that. 
  Among the chief advantages of hypnosis is that when you in a hypnotic state brain wave frequencies decelerate. You center or focus your awareness and you're actually much more aware than usual. A state of centered awareness almost feels as though you're more of an observer of thought and images rather than a part of them. This allows you to bypass the "gatekeepers" at the entrance to the subconscious and superconscious so you are able to access these levels of consciousness directly, and the brain is much more receptive to suggestion. 
  The unconscious, or subconscious may then be reprogrammed so it lets go of old patterns, beliefs and feelings that no longer serve you. They may be replaced with suggestions that are favorable and affirming. The superconscious mind may open you into fresh insights and originative ideas. 
  Put this audio on each night before you go to bed and listen to it right before you fall asleep. If you have time also listen to it first thing upon waking. Do this for at least 21 days consistently so that positive change can take affect in your life.

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  How To Think About AI - A Guide...

  Richard Susskind

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  In recent years, there has been massive public and professional interest in Artificial Intelligence. But people are confused about what AI is, what it can and cannot do, what is yet to come, and whether AI is good or bad for humanity and civilization—whether it will provide solutions to mankind's major challenges or become our gravest existential threat. There is also confusion about how we should regulate AI and where we should draw moral boundaries on its use. 
   
   
   
  In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments. He argues that to think responsibly about the impact of AI requires us to look well beyond today's technologies, suggesting that not-yet-invented technologies will have far greater impact on us in the 2030s than the tools we have today. This leads Susskind to discuss the possibility of conscious machines, magnificent new AI-enabled virtual worlds, and the impact of AI on the evolution of biological humans.

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  Practical Network Security with...

  Rohan Patil

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  Gain practical OpenSSL skills for real-world cybersecurity challenges
  Book Description
  OpenSSL is the backbone of secure communication on the internet, trusted by developers, enterprises, and governments alike. Practical Network Security with OpenSSL equips you with the knowledge, real-world context, and hands-on skills to master OpenSSL—from its command-line tools to its C library APIs—for implementing robust, enterprise-grade cryptographic solutions.
  You’ll begin with a solid foundation in cryptographic principles and the role of OpenSSL in modern security systems. The book then guides you through practical usage, covering symmetric and asymmetric encryption, Public Key Infrastructure (PKI), and secure communications. Real-world examples and C code snippets help you confidently apply OpenSSL in standalone applications, enterprise-grade solutions, and hardware-based security environments such as HSMs and TPMs.
  By the end of this book, you’ll have the expertise to confidently use OpenSSL for designing, implementing, and managing cryptographic solutions across various domains. Whether you're securing financial transactions, IoT networks, or enterprise authentication systems, you’ll be equipped with the tools and knowledge to build secure, future-ready applications. Don’t get left behind—secure your systems like the pros do with OpenSSL mastery.
  Table of Contents
  1. Cryptography Basics and Network Security
  2. Getting started with OpenSSL
  3. OpenSSL Command Line Interface
  4. OpenSSL C library APIs
  5. Public Key Infrastructure with OpenSSL
  6. Symmetric Key Cryptography with OpenSSL
  7. OpenSSL Engine for Security Hardware
  8. OpenSSL in IoT Security
  9. Best Practices, Tips, and Tricks     
  
  Index

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  Burnt - Fighting for Climate...

  Chris Saltmarsh

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  Time is up. The climate crisis is no longer a future to be feared, but a devastating reality. We see it in the wildfires in California and floods across Britain—the "once in a generation" extreme weather events that now happen every year. 
   
   
   
  In a world where those in charge are constantly letting us down, real change in our lifetime means taking power into our own hands. The task ahead of us is daunting, but the emergence of a new wave of movements focused on climate justice, equality, and solidarity also brings hope. 
   
   
   
  Asking how we have arrived at this moment, Chris Saltmarsh argues that the profoundly political nature of the environmental crisis has been relentlessly downplayed. After all, how can solar panels save us while capitalism places profit over the future of the planet? Analyzing the failures of NGOs, the limitations of Extinction Rebellion and Youth Strikes, the role of trade unions, and the possibilities of a Green New Deal, Burnt issues a powerful call for a radical collective movement: saving the world is not enough; we must build a better one in the process.

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  After Apollo: The History of...

  Charles River Editors

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  Today the Space Race is widely viewed poignantly and fondly as a race to the Moon that culminated with Apollo 11 “winning” the Race for the United States. In fact, it encompassed a much broader range of competition between the Soviet Union and the United States that affected everything from military technology to successfully launching satellites that could land on Mars or orbit other planets in the Solar System. Moreover, the notion that America “won” the Space Race at the end of the 1960s overlooks just how competitive the Space Race actually was in launching people into orbit, as well as the major contributions the Space Race influenced in leading to today’s International Space Station and continued space exploration.  
  Space exploration was always an expensive business, and throughout NASA’s history, the agency has had to justify to Congress its need for every dollar it intended to spend. This problem has helped NASA to be more careful and more creative with the money they did receive, and scientists had to justify the equipment they wanted to include on each space probe. They had to justify the size and the power demand, too. If they wanted too much, the entire mission might be scrubbed, and all their work would have been for naught. This made planning and designs leaner and more efficient, as scientists and engineers were more careful with their recommendations. 
  Although Apollo 11’s successful mission to the Moon is seen as the culmination of the Space Race, and the Apollo program remains NASA’s most famous, one of the space agency’s most successful endeavors came a few years later. In fact, the Pioneer program was the most diversified sequence of any of NASA’s programs, and though they’re now remembered for being among the first probes in history to reach the Outer Solar System, the elaborate planning changed goals several times over several years before resulting in historic successes. 

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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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