D'autres livres qui pourraient vous intéresser

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  The Ultimate CompTIA...

  Josh Russell

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  Ready to Dominate the IT Certification World? Unlock your tech career with The Ultimate CompTIA Certification Bible — the only 3-in-1 guide you need to crush your A+ and Security+ exams and soar into high-paying IT roles. 
  🎯 Why This Book Sells BIG:📘 Complete Mastery of CompTIA A+ Exams 220-1101 & 220-1102 AND Security+ SY0-701 in one powerful volume🧠 500+ Exam-Based Practice Questions to sharpen your skills and simulate real test scenarios🚀 Beginner-Friendly to Pro-Ready: Whether you're starting out or leveling up, this guide is your launchpad💼 Career-Boosting Strategies: Beyond certification prep, learn how to leverage your credentials for maximum job impact📊 Study Smarter, Not Harder: With expert tips, mock exams, and real-world scenarios, you'll gain confidence and precision🔎 SEO-Targeted Content: Optimize your learning AND your future visibility with keywords employers love 
  💡 Bonus: Includes full answer explanations, detailed domain coverage, and insider tips for test-day success. 
  Perfect for Aspiring IT Professionals, Tech Students, Career Switchers, and Anyone Ready to Level Up in Tech. Grab your copy and start your journey toward CompTIA mastery and a thriving career in cybersecurity and IT support.

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  Mastering Data Science and Big...

  Maxine Chen

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  Are you prepared to transform your knowledge of the digital landscape and unleash the power of data-driven insights? Explore the world of data science and big data analysis by diving into the pages of "Mastering Data Science and Big Data Analytics: Mastering Big Data- Strategies and Tools for Effective Analysis," an insightful book. This book is your key to understanding the intricacies of data analysis, regardless of whether you're an experienced practitioner looking to improve your abilities or a novice keen to learn the basics. 
  Using big data to extract insights in this era of excess information is more important than ever. This book breaks down the ideas of structured, semi-structured, and unstructured data, giving you a thorough grasp of the complexities of data analysis. Explore the meaning of the three Vs of big data: volume, velocity, and variety, and discover how these influence data analysis practices in various businesses. 
  Are you excited to see instances of big data applications in the real world that have revolutionized specific industries? This book walks you through case studies demonstrating the practical applications of data analysis across various sectors, including marketing, entertainment, finance, and healthcare. Learn how data scientists use the CRISP-DM framework to traverse the data science lifecycle, from analyzing and preparing data to evaluating and deploying models. 
  Equip yourself with the methods and tools that lead to insights as you become an expert in big data analysis. Examine feature engineering, data transformation, and preprocessing techniques to ensure your studies are precise and insightful. Dive into the realm of artificial intelligence and machine learning, utilizing algorithms to reveal trends and connections that influence markets and spur creativity.

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  Data Engineering with AWS -...

  May Sherry

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  "Data Engineering with AWS: Building Next-Gen Data Architectures on AWS" is your comprehensive guide to mastering data engineering in the cloud. This book delves into the full spectrum of data engineering on the AWS platform, from foundational concepts to advanced techniques, enabling you to build, optimize, and scale data pipelines with confidence. 
  Designed for data engineers, cloud architects, and IT professionals, this book covers the latest AWS tools and services that power modern data solutions. You'll explore key topics such as data ingestion, transformation, storage, and analysis, all while leveraging AWS services like Amazon S3, Redshift, Glue, and Kinesis. The book provides practical, hands-on examples to demonstrate how to create robust, secure, and scalable data architectures that can handle the demands of big data and real-time analytics. 
  "Data Engineering with AWS" equips you with the knowledge and skills to harness the power of AWS for your data engineering needs. Learn how to implement best practices, optimize performance, and ensure data security while keeping costs under control. With this book, you'll be prepared to build the next generation of data-driven applications on AWS. 
   

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  Mastering Machine Learning: A...

  Rachel Chen

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  Anyone hoping to succeed in the rapidly expanding field of artificial intelligence will find "Mastering Machine Learning: A Blueprint for Success in the AI Era: Practical Techniques, Tools, and Strategies for Building Intelligent Systems" to be an invaluable resource. The book offers a comprehensive examination of machine learning, covering everything from its most basic applications to its underlying concepts. Its authors have an excellent knowledge of both the novice and seasoned expert. 
  The way the book is organized offers a thorough educational experience. It starts by providing a strong foundation in fundamental ideas, including selecting an algorithm, preparing data, and evaluating models. After that, readers are led through increasingly difficult subjects, including natural language processing, reinforcement learning, and deep learning. Every component is designed to be extremely practical, with examples from real-world situations and detailed instructions that promote hands-on learning. 
  "Mastering Machine Learning" explores the strategic and ethical aspects of artificial intelligence in addition to its technological aspects. It covers important topics, including project management, moral AI behavior, and how to effectively convey AI discoveries to stakeholders who aren't technical. This all-encompassing method guarantees that readers will be able to create complex machine-learning models and be ready to apply them ethically and successfully in a range of professional settings. 
  The book is a vital toolset for data scientists, engineers, and business executives alike because of its unique combination of theory, useful methodologies, and strategic advice. As a definitive manual for thriving in the AI era, "Mastering Machine Learning" stands out for providing readers with the necessary abilities and mentality.

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  Youtube Gaming Channel Setup:...

  Eva Willow

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  Are you a gamer? Do you ever feel the need to start your own YouTube gaming channel? Well, look no further. This book is the perfect starting point to getting your channel off the ground and into the web's eye! 
  Perhaps you've always wanted to start a YouTube gaming channel but weren't sure how. Or maybe you've already started one, but feel like it needs improvement. Whatever your reason is, this book has everything you need to get a good start to your channel! The in-depth information will guide you not just through the creation of your own video productions, but also into how you can get your channel off the ground and make it the success it should be. 
  Since gaming is all the rage with younger generations, and Youtube has become such a popular site for people to post their own videos, it only makes sense that more and more people are starting up their own Youtube Gaming Channel. 
  Video games have always been a popular pastime and now, with the advent of YouTube, gamers can broadcast their game play for others to watch. As such, it can be tempting for those who have never thought about setting up their own YouTube gaming channel to take that first step into the world of online streaming and broadcasting. 
  This book covers: 
  Choosing your niche 
  Before you begin 
  Your gaming platform 
  Building an audience 
  Monetizing your channel 
  And much more. 
  If you have been considering starting your own YouTube Gaming channel, but aren't sure where to start, this is the perfect book to get you off the ground! It is a simple to read guide, in simple language. Hurry and make the most out of it.

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  Care Without Pathology - How...

  Christoph Hanssmann

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  Over the past two decades, medical and therapeutic approaches to transgender patients have changed radically, from treating a supposed pathology to offering gender-affirming care. Based on ethnographic fieldwork in New York City and Buenos Aires, Care without Pathology moves across the Americas to show how trans- health activists have taken on the project of depathologization. 
   
   
   
  In New York, Christoph Hanssmann examines activist attempts to overturn bans on using public health dollars to fund trans- health care. In Argentina, he traces how trans- activists marshaled medical statistics and personal biographies to reveal state violence directed against trans- people and travestis. Hanssmann also demonstrates the importance of understanding transphobia in the broader context of gendered racism, ableism, and antipoverty, arguing for the rise of a thoroughly coalition-based mass mobilization. 
   
   
   
  Care without Pathology highlights the distributive arguments activists made to access state funding for health care, combating state arguments that funding trans- health care is too specialized, too expensive, and too controversial. Hanssmann situates trans- health as a crucible within which sweeping changes are taking place—with potentially far-reaching effects on the economic and racial barriers to accessing care.

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