Altri libri che potrebbero interessarti

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  Breaking Into AI - 50 Skills...

  Tom Anderson

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  This audiobook is narrated by an AI Voice.  
  Ready to break into artificial intelligence but unsure which skills employers actually need? 
  The AI job market is exploding, but most people get stuck learning theory while companies need practical skills. Breaking Into AI reveals the exact 50 artificial intelligence skills that get you hired in machine learning engineer, AI developer, and data scientist positions. 
  Get Hired Faster with Job-Ready AI Skills: 
  This AI career guide teaches you the specific AI skills employers want when filling positions. Whether you're breaking into artificial intelligence from software engineering, data analysis, or another field entirely, you'll master: 
  ✓ Core AI Job Skills: Python programming, neural networks, deep learning (TensorFlow, PyTorch), and machine learning skills for jobs that hiring managers actually require 
  ✓ Modern AI Tools: Natural language processing, computer vision, prompt engineering, large language models, and MLOps deployment - the AI skills training that makes you immediately productive 
  ✓ Get Hired Strategy: Build GitHub portfolios that demonstrate your artificial intelligence skills, ace technical interviews, and position yourself as the candidate employers choose 
  ✓ Business-Ready Skills: Understand AI applications across industries, communicate with stakeholders, and deliver measurable value - the complete AI engineer skills development that advances careers 
  Your 60-Day Plan to Get an AI Job: 
  Follow the structured action plan that transforms you from beginner to AI job-ready candidate while working full-time. Each day builds specific employable AI skills and creates portfolio projects that impress hiring managers.

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  Year of No Garbage

  Eve O. Schaub

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  In this book, Eve O. Schaub, humorist and stunt memoirist extraordinaire, tackles her most difficult challenge to date: garbage. Convincing her husband and two daughters to go along with her, Schaub attempts the seemingly impossible: living in the modern world without creating any trash at all—for an entire year and, as it turns out, during a pandemic. In the process, Schaub learns some startling things: that modern recycling is broken and single stream recycling is a lie, that flushable wipes aren’t flushable and compostables aren’t compostable, and that plastic drives climate change, fosters racism, and is poisoning the environment and our bodies at alarming rates, as microplastics are being found everywhere, from the top of Mount Everest to the placenta of unborn babies. If you’ve ever thought twice about that plastic straw in your drink, you’re gonna wanna read this book.

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  Fundamentals of Machine Learning...

  DSA Shots

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  Welcome to "Fundamentals of Machine Learning"! This comprehensive guide is designed to provide an introduction to the fascinating world of machine learning and artificial intelligence. Whether you're a seasoned programmer or just starting out, this book will take you on a journey through the fundamentals of these technologies and their applications in various industries. 
  Artificial Intelligence (AI) has been a buzzword for years, but what does it really mean? In simple terms, AI refers to any software that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Machine learning is a subset of AI that focuses on developing algorithms and statistical models that enable computers to learn from data without being explicitly programmed. 
  This book will cover the following topics: 
  * Introduction to Artificial Intelligence and Machine Learning 
  * Differences Between Classical Programming and Artificial Intelligence 
  * Machine Learning Models and their Types (Supervised, Unsupervised, and Reinforcement Learning) 
  * Deep Learning Techniques and Large Language Models (LLMs) 
  * Applications of Machine Learning in various industries such as Healthcare, Finance, Marketing, and more. 
  By the end of this book, you will have a solid understanding of the fundamentals of machine learning and artificial intelligence, and how they can be applied to real-world scenarios. Whether you're looking to start a career in this field or simply want to learn more about it, this book is an excellent starting point for your journey. So, let's get started!

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  Virtual You - How Building Your...

  Roger Highfield, Peter Coveney,...

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  This audiobook narrated by Quentin Cooper describes the visionary science behind the digital human twins that will enhance our health and our future
  Virtual You is a panoramic account of efforts by scientists around the world to build digital twins of human beings, from cells and tissues to organs and whole bodies. These virtual copies will usher in a new era of personalized medicine, one in which your digital twin can help predict your risk of disease, participate in virtual drug trials, shed light on the diet and lifestyle changes that are best for you, and help identify therapies to enhance your well-being and extend your lifespan—but thorny challenges also remain.
  
  In this deeply illuminating book, Peter Coveney and Roger Highfield reveal what it will take to build a virtual, functional copy of a person in five steps. Along the way, they take you on a fantastic voyage through the complexity of the human body, describing the latest scientific and technological advances, from multiscale modeling to extraordinary new forms of computing, that will make "virtual you" a reality, while also considering the ethical questions inherent to realizing truly predictive medicine.
  
  With an incisive foreword by Nobel Prize-winning biologist Venki Ramakrishnan, Virtual You is science at its most astounding, showing how our virtual twins and even whole populations of virtual humans promise to transform our health and our lives in the coming decades.

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  Raising Chicken for Beginners -...

  Emma Bennet

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  "Raising Chickens for Beginners: From Coop Design to Egg Collecting" is a comprehensive guidebook for novice poultry enthusiasts embarking on their chicken-raising journey. This book provides a step-by-step approach to every aspect of chicken farming, offering practical advice and expert tips to ensure success from the ground up. From selecting the perfect breed to constructing a functional coop and managing nutrition, health, and egg production, this guide covers all the essentials to raise happy, healthy chickens. 
  The guidebook offers detailed information on coop design, including essential features, ventilation, predator-proofing, and nesting box setup. It also provides practical insights into chicken behavior, flock dynamics, and environmental considerations, enabling readers to create a safe and stimulating environment for their feathered friends. It also addresses common challenges and solutions, such as behavioral issues, environmental factors, and signs of illness, ensuring that readers are equipped to handle any situation. 
  Furthermore, "Raising Chickens for Beginners" emphasizes the joy and satisfaction of chicken keeping, from the daily routine of collecting fresh eggs to the companionship and connection with nature that comes with nurturing a flock. Whether readers are interested in starting a small backyard flock or expanding their poultry husbandry knowledge, this guide is a valuable resource for beginners and experienced poultry keepers alike. With its practical advice, expert insights, and engaging style, this book will inspire and inform anyone eager to embark on their chicken-raising adventure.

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  Hybrid Databases - Unifying Data...

  Sam Green

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  In today’s fast-paced digital world, businesses and applications are dealing with an ever-growing variety of data types and requirements. Hybrid Databases: Unifying Data Architectures for Modern Applications provides a comprehensive guide to understanding and implementing hybrid database systems—solutions that combine the power of multiple database technologies to meet diverse data processing needs. 
  This book explores how hybrid databases integrate relational, NoSQL, in-memory, graph, and other specialized databases into a unified architecture, allowing organizations to harness the strengths of each type for different use cases. It covers the rise of hybrid databases in response to challenges in scalability, flexibility, and performance, and offers practical guidance on how to design, implement, and optimize hybrid database systems. 
  With in-depth chapters on database types, design patterns, and integration strategies, Hybrid Databases addresses the complexities of working with multiple data models, ensuring consistency, and maintaining performance at scale. It provides real-world case studies across industries such as e-commerce, IoT, healthcare, and finance, illustrating how hybrid architectures are transforming the way businesses manage and leverage data. 
  This book offers valuable insights into the future of data management and equips you with the knowledge to build scalable, efficient, and future-proof hybrid database systems for your organization. 
  Unlock the full potential of your data with Hybrid Databases, and learn how to integrate diverse database technologies into cohesive, high-performance systems that power the applications of tomorrow. 
   

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