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  IT Fundamentals : Everything you...

  Imran Afzal

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  Welcome to "IT Fundamentals: Everything You Need to Know About IT"! This book is like a friendly guide into the big world of computers and the internet, made especially for beginners, people who love technology, and anyone who wants to know more about how digital stuff works.Think of this book as a treasure map that leads you through the land of Information Technology (IT). We'll start with the basics, like how computers work, what software is, and why operating systems are important. Its like learning the ABCs of technology.Then, well get into how computers talk to each other through networks, and why that's super important for things like surfing the web or sending emails. Plus, well cover how to keep your computer safe from viruses and hackers because nobody wants their personal stuff stolen.Well also peek into the cloud, which is not the one in the sky but a place on the internet where you can store your photos, videos, and files so you can get to them from anywhere. And well explore big data and why it's a big deal for making smart decisions in business and life.But that's not all! We're also looking into the future at cool stuff like artificial intelligence (AI), which is how computers can learn to think a bit like us, and the Internet of Things (IoT), which is about connecting everyday things like fridges and lights to the internet.Heres what youll discover inside:The very basics of computers and software.How the internet and networks work.Ways to protect your computer from bad guys.What the cloud is and how to use it.Exciting future tech like AI and smart devices.This book is for anyone who wants to get comfortable with technology, upgrade their tech skills, or just have a handy guide to help understand the tech world better. With simple explanations and real-life examples, "IT Fundamentals" is your ticket to becoming tech-savvy.Start your tech adventure with us and see how exciting and useful the world of IT can be!

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  Neural Networks for Beginners -...

  Brian Murray

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  "Neural Networks for Beginners: An Easy-to-Follow Introduction to Artificial Intelligence and Deep Learning" is an essential guide to understanding the basics of neural networks, the fundamental technology behind artificial intelligence and deep learning. 
   This book provides an in-depth exploration of neural network architectures and how they can be used to solve complex real-world problems in a variety of fields, including image and speech recognition, natural language processing, and time series analysis. 
   Written for beginners, this book provides a clear and concise introduction to the concepts and techniques of neural networks, including the basics of machine learning and deep learning. It covers a range of topics, from the fundamentals of neural networks to building and training models using popular frameworks like TensorFlow and PyTorch, as well as advanced topics like transfer learning and reinforcement learning. 
   With practical examples and clear explanations, "Neural Networks for Beginners" is a valuable resource for anyone looking to learn about this exciting field. Whether you are a student, a professional, or simply interested in the technology behind artificial intelligence, this book will help you understand the basics of neural networks and how they are used to solve real-world problems. 
   

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  Blockchain - Unlocking the Power...

  Jasper Donovan

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  Unleash Blockchain's Potential and Embrace the Digital Revolution. Are you interested in technology revolutionizing industries and altering how we communicate and conduct business? Look nowhere else! The best resource for comprehending and utilizing the potential of blockchain is "Blockchain: Unlocking the Power of Blockchain- Your Essential Handbook for the Digital Revolution." 
  As you set out on a journey through the fundamental ideas, uses, and upcoming advances of blockchain, you will come to understand its almost endless potential. This book takes a deep dive into the world of blockchain and equips you with the information and insights you need to understand this revolutionary technology. 
  Blockchain is transforming various sectors, including finance, supply chain management, healthcare, energy, and more, due to its decentralized and open nature and its capacity to increase trust, security, and transparency. Discover how blockchain is changing these industries and improve your competitiveness by comprehending how it affects society, business, and government. 
  This book is a must-read if you're a business expert looking to use blockchain for innovation, an entrepreneur looking for new company opportunities, or just someone intrigued about the technology influencing our future. 
  Learn about the possibilities of smart contracts and the effects of blockchain on the financial and banking industries as well as supply chain, healthcare, and government services. Learn about the obstacles to and restrictions on the use of blockchain technology and the ethical considerations surrounding this revolutionary innovation.

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  Saints and Soldiers - Inside...

  Rita Katz

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  More than a decade ago, counterterrorism expert Rita Katz began browsing white supremacist and neo-Nazi forums. The hateful rhetoric and constant threats of violence immediately reminded her of jihadist militants, but law enforcement and policy makers barely paid attention to the Far Right. Now, years of attacks committed by extremists radicalized online—including mass murders at a synagogue in Pittsburgh and mosques in Christchurch, New Zealand, as well as the Capitol siege—have brought home the danger. How has the internet shaped today's threats, and what do the online origins of these movements reveal about how to stop them? 
   
   
   
  In Saints and Soldiers, Katz reveals a new generation of terrorist movements that don't just use the internet, but exist almost entirely on it. She provides a vivid view from the trenches, spanning edgy video game chat groups to mainstream social media platforms to what ISIS and Far-Right mass-shooters in El Paso, Orlando, and elsewhere unwittingly reveal between the lines of their manifestos. Katz shows how the online cultures of these movements create today's terrorists and shape how they commit "real world" violence. From ISIS to QAnon, Saints and Soldiers pinpoints the approaches needed for a new era in which arrests and military campaigns alone cannot stop these never-before-seen threats.

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  Very Strong Sound Therapy for...

  Deep Sleep AudioWorks

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  When your mind won't switch off and your body craves rest, this collection helps you surrender into true, uninterrupted slumber.It features advanced binaural frequencies, low-frequency sound waves, and healing tones scientifically tuned to slow brain activity, reduce cortisol levels, and guide you into restorative deep sleep — naturally and effortlessly.Let the binaural frequencies do the work. With quality headphones, a deep breath, and a quiet mind, drift into the healing depths of delta sleep.

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  Machine Learning System Design...

  James Ferry

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  Designing and building machine learning (ML) systems can seem daunting for beginners, but understanding the foundational steps and principles can simplify the process. At its core, ML system design involves a series of well-defined steps that guide the transformation of raw data into valuable insights through predictive models. Here’s a beginner’s guide to understanding and implementing these steps effectively. 
  The first step in designing an ML system is problem definition. Clearly defining the problem you aim to solve is crucial. This involves understanding the business context, identifying the goals, and determining the type of problem—whether it is classification, regression, clustering, or another ML task. A well-defined problem ensures that the subsequent steps are aligned with the desired outcomes. 
  Once the problem is defined, the next step is data collection and preprocessing. Data is the backbone of any ML system, and its quality significantly impacts the performance of the models. Collect data from various sources and ensure it is relevant to the problem. Data preprocessing involves cleaning the data to handle missing values, removing duplicates, and normalizing the data. It also includes feature engineering, which involves selecting, modifying, or creating new features that enhance the predictive power of the model. 
  Finally, the deployment and monitoring phase ensures that the ML model is operational and continues to perform well over time. Deploy the model to a production environment where it can make real-time predictions or be used in batch processing. Implement monitoring systems to track the model’s performance and detect any drift in data distribution that might require retraining the model. Regularly update the model with new data to maintain its accuracy and relevance. 
   

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