Altri libri che potrebbero interessarti

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  Generative AI for Beginners:...

  Alex Quant

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  Artificial Intelligence is transforming industries and reshaping society, making AI literacy essential in today's fast-evolving digital landscape. This comprehensive guide introduces generative AI concepts for beginners, offering foundational knowledge on technologies like GPT-4, Large Language Models (LLMs), and neural networks. It explores the inner workings of GPT-4 and LLMs, the structure and function of deep learning and neural networks, and practical applications of AI technologies across various industry sectors. 
  Designed to make AI accessible, the book covers real-world applications in fields such as art, design, business, and IT, revealing how AI can drive innovation and productivity. It offers insights into practical machine learning, emphasizing the significance of ethical AI development and responsible innovation. Readers gain strategies for using AI tools like ChatGPT, which enhance problem-solving and creativity through effective prompt design, and an understanding of quantum computing's potential to revolutionize AI. 
  With simplified explanations, examples, and future-focused insights, this book provides readers with the tools to understand and engage with AI on a practical level, preparing them to navigate and contribute to an AI-driven world. Offering a comprehensive overview of AI technologies, their applications and workings, the book targets several audiences. It is suitable as a guide for those who are curious to learn more about AI, as well as for business professionals discovering the potential of AI to develop their work projects and careers, and for IT and technical specialists transitioning into the field of artificial intelligence. 
    
  Book length in print format: 239 pages. 
   

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  Summary of David Christian's...

  Falcon Press

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  Buy now to get the main key ideas from David Christian's Origin Story 
    
  Humans now know much more of the history of the universe. Our brains allow us to understand what is going on today and what was happening billions of years ago, as well as build the necessary technology in order to find out more. In Origin Story (2018), David Christian goes over the entire 13.8 billion-year history of the universe. He starts with the big bang and ends with a tiny look into what the future could hold for us. He focuses on important events for the universe, which he defines as eight thresholds, and explains how each impacted us today. This story is still changing and evolving, and getting more and more complex with time, so it’s important for us to take action and write the best possible future. 
   

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  Multisolving - Creating Systems...

  Elizabeth Sawin

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  For most of Elizabeth Sawin's career, she was not a multisolver. Instead, she worked on a single, albeit immensely important problem: climate change. Despite tremendous effort, she felt like she was chasing her tail. Unless people began to recognize the multitude of unexpected benefits from ratcheting down emissions, climate change would remain a losing political issue.That experience, along with the guidance of leaders in systems thinking and racial justice, convinced her that the world's thorniest problems may be easier to tackle together than one by one. That's multisolving: using a single investment of time or money to solve many problems at the same time. Multisolving addresses the current mismatch between complex, deeply intertwined societal issues and our siloed approach to them.This unique resource is for local school boards that need revenue for their students but don't want to overtax low-income seniors. It is for nonprofits working to reduce food waste and combat the root causes of hunger while increasing racial justice. It is for seaside communities that can protect themselves from flooding while also improving biodiversity with a living coastline. It may also be for you: doing the work you know is imperative but that is sometimes overwhelming, a tiny drop in a swirling ocean.

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  Legionella - Causes Solutions...

  Lilly Richardsen

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  Legionella is a type of bacteria that can cause a severe form of pneumonia known as Legionnaires' disease. The bacterium is found naturally in freshwater environments such as rivers and lakes, but it becomes a concern in man-made water systems. Legionella thrives in warm water environments, particularly when water is stagnant or not properly maintained. Some of the most common places where Legionella can grow include cooling towers, hot tubs, air conditioning units, and plumbing systems, all of which can provide the ideal conditions for bacterial growth. 
  The first documented outbreak of Legionnaires' disease occurred in 1976 at an American Legion convention in Philadelphia, where over 200 individuals became ill, and 34 people died. This event led to the identification of the bacterium Legionella pneumophila, which was named after the American Legion convention. Since then, Legionnaires' disease has been associated with various outbreaks, particularly in large buildings, hospitals, and hotels, where water systems are extensive and difficult to manage. 
  Legionella bacteria are transmitted through the inhalation of aerosolized water droplets contaminated with the bacteria. This can occur when people breathe in mist, vapor, or water droplets from sources like air conditioning units, hot tubs, or showers. The bacteria can infect the lungs, leading to symptoms similar to pneumonia, including fever, cough, shortness of breath, and muscle aches. In severe cases, the disease can cause respiratory failure, organ damage, and even death, especially in vulnerable populations such as the elderly, smokers, and individuals with weakened immune systems.

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  The Art of Machine Learning -...

  Craig Dames

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  Machine learning is a subset of artificial intelligence that enables computers to learn from data and make decisions without being explicitly programmed. It is a field that has grown significantly over the past few decades, revolutionizing industries such as healthcare, finance, and technology. By leveraging algorithms and statistical models, machine learning systems can identify patterns, make predictions, and continuously improve their performance. 
  The foundation of machine learning lies in data. Without data, machine learning models cannot function effectively. Data can come in various forms, including structured numerical data, unstructured text, images, and audio. The process of training a machine learning model involves feeding it large amounts of data, allowing it to recognize relationships and make informed predictions. 
  Machine learning is broadly categorized into three types: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a model on labeled data, where it learns to map inputs to outputs based on example pairs. This approach is commonly used in applications such as email spam detection and medical diagnosis. Unsupervised learning, on the other hand, deals with data that lacks labels. The model identifies patterns and structures within the data without prior guidance, making it useful for tasks like customer segmentation and anomaly detection. Reinforcement learning is a more dynamic approach where an agent learns to make decisions by interacting with an environment and receiving feedback in the form of rewards or penalties. This technique is widely used in robotics and game development.

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  Bitcoin and Cryptocurrency...

  Matthew Reed

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  If you want to discover the strategies to turn the market into a cash cow, keep reading!Bitcoin had taken the world by storm once again when it crossed $20,000 per BTC in December of 2020. Immediately, as happened in 2017, many people started trying to improvise themselves as professional traders. While some of them have made decent returns in the past few months, there is no doubt they will give them back to the market once prices stop going up. After all, there is no need to be a genius to make money when everything that claims to be a cryptocurrency goes parabolic. Real traders can milk the market when things are good and protect their capital when prices are going South. This is why you need to learn the right trading strategies if you want to truly build long-term wealth, not just make a few dollars here and there.The beauty of cryptocurrency trading is that it does not require a lot of money to get started. The volatility is so high that even a few hundred dollars can be a good starting point. Do not worry. You will not have to spend hours and hours in front of your computer. Every trading strategy presented in this book has one goal in mind: making you as much money as possible while freeing up your time!It is time to trade your way to real wealth!Get this book now!

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