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  QPR - Away Day Travels

  Simon Ingram

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  No self-respecting Queens Park Rangers fan should be without this, the ultimate travel companion to QPR s away day fixtures. With over 40 years of following his beloved QPR up and down the country, Simon Ingram has created the ultimate fan s-eye history of the club. Designed to be read by supporters on their way to their next match, QPR Away Day Travels includes several quizzes, classic photos and an extensive list of the team s most memorable games both good and bad. Written with humour and a positive outlook for the club he adores, QPR Away Day Travels will delight any follower of the Super Hoops, young or old.

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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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  Quantum AI - Unleashing the...

  James Henry

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  Quantum AI: Unleashing the Power of Quantum Computing in Artificial Intelligence explores the groundbreaking fusion of two of the most transformative technologies of our time—quantum computing and artificial intelligence. This book delves into the complex yet fascinating world of quantum mechanics and machine learning, revealing how their convergence is set to redefine the future of computation, problem-solving, and decision-making. 
  Starting with a comprehensive introduction to the principles of quantum computing and the evolution of AI, the book covers how quantum algorithms can accelerate AI processes, tackle computational bottlenecks, and solve problems once thought unsolvable. Readers will discover real-world applications in fields such as healthcare, finance, logistics, and cryptography, alongside the tools and frameworks shaping this emerging discipline. 
  Ideal for technologists, researchers, and innovators, Quantum AI illuminates the challenges and promises of this new frontier while examining the potential ethical and societal impacts of quantum-enhanced intelligence. The book provides a roadmap for the future, guiding readers through the development of quantum AI systems and highlighting the industries poised for transformation. 
  This book offers an insightful journey into a future where quantum technology revolutionizes AI—and the world. 
   

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  MySQL for Data Science -...

  SAM CAMPBELL

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  MySQL for Data Science: Unlocking Insights and Driving Innovation with MySQL in Data Science is the essential guide for data scientists, analysts, and enthusiasts looking to harness the full power of MySQL in the realm of data science. As the digital landscape continues to evolve at a breakneck pace, the ability to efficiently store, manage, and analyze data has become paramount. This comprehensive guide demystifies how MySQL can be utilized to uncover deep insights and drive innovative solutions in a variety of data-driven fields. 
  Starting with the basics, the book introduces you to the fundamentals of MySQL and its significance in the data science ecosystem. It meticulously guides you through setting up your own MySQL environment, making it accessible for beginners while providing valuable insights for more experienced readers. As you progress, you'll delve into more advanced topics, including complex queries, indexing, performance optimization, and handling big data challenges, ensuring you're equipped to tackle real-world data science projects. 
  The exploration goes beyond traditional database management, venturing into the integration of MySQL with big data tools, machine learning libraries, and cutting-edge data visualization technologies. This book not only teaches you how to prepare and analyze data but also how to visualize and present your findings effectively, leveraging MySQL data in powerful and innovative ways. 
  "MySQL for Data Science" also emphasizes the importance of security, administration, and scalability, preparing you to manage and maintain robust MySQL databases that can grow and evolve with your data science needs. Furthermore, it looks ahead, discussing the future of MySQL within cloud environments, the burgeoning role of AI, and the potential impacts of emerging technologies on data management and analysis. 
   

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  Summer Year-Round… on the Moon

  Edmund T. Shearin

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  Summer, Year-Round… On the Moon is a gripping exploration of humanity’s boldest leap yet—creating life where none existed before. Combining cutting-edge science with visionary engineering, this book takes readers to the Moon, where builder bots and high-intensity heat generators transform the barren lunar surface into a thriving off-world resort. From extracting water and producing hydrogen to crafting tunnels and domes beneath the Moon’s crust, the narrative captures the awe and challenges of turning ambition into reality. As domes rise and oxygen flows, new questions emerge: What is the cost of taming a world that never belonged to us? Blending science fiction with real-world possibilities, the story highlights humanity’s resilience, ingenuity, and the delicate balance between progress and respect for the unknown. With themes of collaboration, survival, and the desire to thrive beyond Earth, Summer, Year-Round… On the Moon is a thrilling testament to both the power and fragility of human ambition.

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  97 Things Every Data Engineer...

  Tobias Macey

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  Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. 
   
   
   
  Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents ninety-seven concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. Topics include: 
   
   
   
  ● The Importance of Data Lineage—Julien Le Dem 
   
   
   
  ● Data Security for Data Engineers—Katharine Jarmul 
   
   
   
  ● The Two Types of Data Engineering and Data Engineers—Jesse Anderson 
   
   
   
  ● Six Dimensions for Picking an Analytical Data Warehouse—Gleb Mezhanskiy 
   
   
   
  ● The End of ETL as We Know It—Paul Singman

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