D'autres livres qui pourraient vous intéresser

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  The Voice of Animals

  Pilar Badía

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  The most common way we come to know animals is usually by rote learning the specific features that certain kind of animals have according to a textbooks. We learn that they are mammals, birds or fish; but at school we rarely mention that they have a personality of their own and even less do we analyze whether we treat them well or badly. Have you ever wondered how animals actually feel?
  Have you thought about how they are treated in our society?
  The Voice of Animals promotes reflection through critical thinking on different issues related to animal ethics. By raising questions it paves the way to analyze the most common themes that emerge in adolescence regarding the lives of animals, both free and captive.

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  Innovating To Zero - A Zero...

  Sarwant Singh

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  'Achieving net zero will be the most amazing thing humankind has ever done.' - Bill Gates 
  In 2010, Bill Gates first came up with the term 'Innovating to Zero' to advocate a nuclear energy technology that would be safe and reliable, and have zero emissions. From its early use as a placeholder in Mesopotamian and Mayan civilizations to being ascribed value in seventh-century India, zero has today become the foundation without which modern world would crumble. In the twenty-first century, zero is taking on a completely new meaning - VISION ZERO. 
  In Innovating to Zero, Sarwant Singh sets out to explore a zero-concept world, where this vision can be used to create a sustainable future by achieving zero-emission vehicles, zero waste, zero accidents, zero defects, zero security breaches, zero carbon emissions, zero obesity and even zero diseases. From companies like Nissan, Britannia and Atos to a government organization like UK's Jet Zero Council to even a football club like Tottenham Hotspur, the book highlights the various fields where zero can play a disruptive role-be it among communities or corporates, in the context of social and business agendas, both today and in the future. 
  For readers, Singh provides a step-by-step approach to designing, developing and delivering a zero-vision strategy and a framework to achieve it, inspiring them to create a sustainable planet.

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  Python Machine Learning for...

  Alexa Campbell

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  Have you thought about a career in data science? It's where the money is right now, and it's only going to become more widespread as the world evolves. Machine learning is a big part of data science, and for those that already have experience in programming, it's the next logical step. 
  Machine learning is a subsection of AI, or Artificial Intelligence, and computer science, using data and algorithms to imitate human thinking and learning. Through constant learning, machine learning gradually improves its accuracy, eventually providing the optimal results for the problem it has been assigned to. 
  It is one of the most important parts of data science and, as big data continues to expand, so too will the need for machine learning and AI. 
  Here's what you will learn in this quick guide to machine learning with Python for beginners:What machine learning isWhy Python is the best computer programming language for machine learningThe different types of machine learningHow linear regression worksThe different types of classificationHow to use SVMs (Support Vector Machines) with Scikit-LearnHow Decision Trees work with ClassificationHow K-Nearest Neighbors worksHow to find patterns in data with unsupervised learning algorithms 
  You will also find plenty of code examples to help you understand how everything works. 
  If you are ready to take your programming further, scroll up, click Buy Now, and find out why machine learning is the next logical step.

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  Time Series Data Analysis - 2 in...

  Brian Paul

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  From the fundamentals of time series components to the complexities of modern forecasting models, the book navigates through the nuances of stationarity, seasonality, and autocorrelation, equipping readers with the tools to identify and leverage patterns within time-dependent data. Through detailed exploration of data preparation, exploratory data analysis, and a variety of forecasting methods, from classical approaches like ARIMA to cutting-edge deep learning techniques, this book lays a solid foundation for predictive modeling. 
  Key Features:In-depth Coverage: From basic concepts to advanced analysis techniques, the book provides comprehensive insights into time series analysis.Practical Case Studies: Real-world applications in finance, weather forecasting, energy demand, and retail sales offer hands-on learning experiences.Cutting-edge Techniques: Explore the latest in machine learning and deep learning, tailored specifically for time series forecasting.Evaluation Strategies: Learn how to effectively evaluate and optimize forecasting models, ensuring accuracy and reliability in predictions.Tools and Software: An overview of essential tools, including Python and R code snippets, for applying time series analysis in practical settings. 
  Time Series Data Analysis: A Comprehensive Guide for Very Beginner is your key to unlocking the predictive power of time-dependent data. Embrace the opportunity to transform raw data into insightful forecasts that can drive decision-making and innovation in any field. 
   

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  Neural Networks LLM & Gen AI -...

  Et Tu Code

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  Unlock the power of artificial intelligence with this comprehensive guide to neural networks, large language models, and generative AI. 
  Are you interested in harnessing the power of artificial intelligence to revolutionize your field or industry?  
  Starting with the basics, you'll learn how to:  
  * Understand the fundamentals of neural networks and their applications in various fields  
  * Design and train your own neural network models using popular frameworks like TensorFlow and PyTorch  
  * Build a large language model that can generate coherent and contextually relevant text  
  * Explore generative AI techniques, including GANs and VAEs, to create innovative solutions for a variety of industries  
  But "Neural Networks, LLM & Gen AI" is more than just a technical guide. It's also a comprehensive resource for understanding the ethical considerations and potential pitfalls of working with advanced AI technologies.  
  You'll learn how to:  
  * Evaluate the bias and fairness of your AI models  
  * Mitigate the risks associated with AI development, such as privacy concerns and job displacement  
  * Navigate the legal and regulatory landscape of AI, including emerging regulations like the European Union's General Data Protection Regulation (GDPR)  
  Whether you're a seasoned developer or just starting out in the world of AI, "Neural Networks, LLM & Gen AI" has something for everyone.  
  With its comprehensive coverage and practical examples, this book is the perfect resource for anyone looking to harness the power of artificial intelligence to drive innovation and progress.  
  So why wait? Dive into the exciting world of neural networks, large language models, and generative AI today!

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  Data Mesh - A Comprehensive...

  Brian Paul

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  In a world where data reigns supreme, organizations are grappling with the challenges posed by traditional data management approaches. "Unleashing the Power of Data Mesh" is your definitive guide to navigating this evolving landscape and harnessing the true potential of your data assets. 
  This comprehensive book takes you on a transformative journey through the revolutionary paradigm of Data Mesh, a decentralized approach that reshapes how we think about, manage, and leverage data. From its foundational principles to real-world implementation strategies, this guide equips you with the knowledge and tools needed to embrace the future of data architecture. 
  "Unleashing the Power of Data Mesh" is not just a book; it's your roadmap to a data-driven future. Whether you're a seasoned data professional, a business leader, or someone passionate about the transformative power of data, this guide empowers you to revolutionize your approach to data architecture and propel your organization into a new era of data excellence. Embrace the Data Mesh revolution and unleash the full potential of your data assets! 
   

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