Altri libri che potrebbero interessarti

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  Data Science Guide for Beginners...

  SAM CAMPBELL

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  In the digital era, where data reigns supreme, understanding the principles of data science is more crucial than ever. Authoritatively written and accessible, this book begins by unraveling the fundamentals, guiding readers through the core concepts of data collection, cleaning, and exploratory analysis. 
  Armed with essential tools such as Python, R, and SQL, readers delve into the world of statistics, mastering both descriptive and inferential techniques. The journey continues with a foray into the dynamic realm of machine learning, demystifying algorithms and models, and providing a solid foundation for building and evaluating predictive systems. 
  Data wrangling and feature engineering take center stage in the subsequent chapters, equipping readers with the skills to prepare and optimize data for analysis. A hands-on approach is emphasized as readers embark on crafting their first machine learning models, unraveling the complexities of model selection, training, and deployment. 
  The exploration deepens with an introduction to the revolutionary field of deep learning, demystifying neural networks and their applications. Real-world scenarios and case studies bring theory to life, showcasing the profound impact of data science across diverse industries. 
  "Data Science Guide for Beginners" doesn't stop at theory—it equips readers with practical resources, exercises, and a roadmap for continuous learning. The journey concludes with a glimpse into the future of data science and ethical considerations that shape the responsible use of data. 
  Join us on a transformative expedition as we demystify the complexities of data science, making it an exhilarating and accessible adventure for all. Empower yourself with the knowledge to unlock the potential of data and embark on a journey that will reshape the way you perceive and harness information in our data-driven world. 
   

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  Quantum 20 - The Weird Physics...

  Paul Davies

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  Quantum computers, quantum cryptography, and even quantum AI—a century after the discovery of an unexpected physical world, researchers are putting this puzzling science to work in dazzling new ways. 
   
  In this exhilarating and mind-bending book, renowned scientist and author Paul Davies offers readers a glimpse of how quantum physics has led to a quantum technology revolution. Quantum 2.0 reveals how today’s brightest minds are harnessing exotic states of matter that have no counterpart in everyday life. Specifically, all eyes are on entanglement, called “spooky” by Einstein, which links the activities of separated particles even across vast distances. 
   
  By manipulating these weird properties of atoms, electrons, and photons, scientists are driving the burgeoning field of “quantum information science,” featuring new tools such as quantum computers, quantum cryptography, and the quantum internet. In turn, their efforts have attracted billions of dollars in investments and triggered a frantic quantum arms race between nations. At the same time, theorists are taking a closer look at quantum systems themselves, which possess properties that defy intuition and shred everyday notions of reality. Davies explains how researchers, including himself, are wrestling with quantum theory to make sense of this realm, where ghostly quantum particles produce tiny forces in nanotechnology, cause black holes to evaporate, and may even contribute to the universe’s accelerating expansion. A trusted guide, Davies takes readers from the basic concepts to today’s cutting edge, inviting us all to glimpse the wonderland of quantum physics and its stunning implications.

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  Saving Animals Saving Ourselves...

  Jeff Sebo

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  In 2020, COVID-19, the Australia bushfires, and other global threats served as vivid reminders that human and nonhuman fates are increasingly linked. Human use of nonhuman animals contributes to pandemics, climate change, and other global threats which, in turn, contribute to biodiversity loss, ecosystem collapse, and nonhuman suffering. 
   
   
   
  Jeff Sebo argues that humans have a moral responsibility to include animals in global health and environmental policy. In particular, we should reduce our use of animals as part of our pandemic and climate change mitigation efforts and increase our support for animals as part of our adaptation efforts. Applying and extending frameworks such as One Health and the Green New Deal, Sebo calls for reducing support for factory farming, deforestation, and the wildlife trade; increasing support for humane, healthful, and sustainable alternatives; and considering human and nonhuman needs holistically. Sebo also considers connections with practical issues such as education, employment, social services, and infrastructure, as well as with theoretical issues such as well-being, moral status, political status, and population ethics.

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  AWS Certified Cloud Practitioner...

  Ben Piper, David Clifton

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  In the newly revised second edition of AWS Certified Cloud Practitioner Study Guide: Foundational (CLF-C02) Exam, a team of veteran IT professionals and educators delivers an up-to-date and easy-to-follow introduction to Amazon's industry-leading cloud technology and the introductory certification exam that demonstrates your understanding of it. 
   
   
   
  Used by thousands of companies across the globe, Amazon Web Services (AWS) is an integral part of business IT operations at firms in virtually every industry and sector. In this book, you'll prepare to pass the recently updated AWS Certification Exam and prove your knowledge of critical AWS cloud technologies and capabilities. You'll find complete and thorough coverage of every topic included on the exam, from infrastructure to architecture and cybersecurity. You'll also discover comprehensive discussions of the AWS Cloud value proposition, as well as billing, account management, and pricing models. 
   
   
   
  The AWS Certified AWS Certified Cloud Practitioner Study Guide is an essential resource for any IT professional that works directly with Amazon Web Services, as well as students in IT fields, and non-technical professionals who work with and alongside technical experts.

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  Affirmations For Women

  Affirmational Journey

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  Do you find yourself struggling with self-doubt and negative self-talk? Are you seeking a way to empower yourself and embrace your unique strengths and beauty? Imagine waking up every day feeling confident, valued, and unstoppable. 
  Introducing a powerful collection of affirmations designed specifically for women. This audio book provides a transformative experience, guiding you through positive affirmations that will uplift and inspire you. With soothing narration and empowering messages, you’ll embark on a journey of self-discovery and growth, learning to embrace your true potential and inner strength. 
  Whether you're dealing with challenges in your personal life, career, or relationships, these affirmations offer the perfect solution. By incorporating these affirmations into your daily routine, you'll build a strong foundation of self-confidence, resilience, and self-love. Each affirmation is carefully crafted to help you overcome obstacles, celebrate your achievements, and recognize your worth. 
  Don't let self-doubt and negativity hold you back any longer. Embrace this empowering journey and transform your life with the healing power of affirmations. Start today and experience the remarkable impact of affirmations for women, waking up each morning with a renewed sense of confidence, joy, and empowerment. Discover the strength within you and live your life to the fullest.

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  Building Your Own Large Language...

  Et Tu Code

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  Building Your Own Large Language Model: A Step-by-Step Guide is your comprehensive roadmap to crafting custom language models tailored to diverse applications. 
  From laying the groundwork in Language Model Development Fundamentals to navigating through Essential NLP Concepts and Framework Selection, each step is meticulously detailed to ensure mastery. You'll learn the art of Data Collection and Preprocessing, crucial for gathering and refining training data, followed by the craft of Scalable Model Architecture Design. Training and Fine-Tuning Strategies guide you through efficiently honing your model's capabilities, while Performance Evaluation and Validation ensure accuracy. Model Deployment integrates your creation seamlessly into real-world applications like chatbots or language translation tools, while Task-Specific Fine-Tuning customizes it for sentiment analysis or text summarization. Ethical Considerations address biases and ethical concerns, while Performance Optimization techniques enhance efficiency. Through Exploration of Large Language Models, you'll grasp the landscape's nuances, preparing for Application Integration and Scaling with Distributed Training. Continuous Improvement methodologies, coupled with a focus on Interpretability and a glimpse into Future Trends, equip you for ongoing success. Real-world Case Studies provide practical insights, and Community Engagement fosters collaboration. 
  Concluding with key takeaways and recommendations, this guide propels you into the dynamic realm of large language model development with confidence and clarity. 🚀

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