Other books that might interest you

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  Mastering AI Game Development...

  Hrishikesh Andurlekar

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  Elevate your Unreal Engine skills with This Essential Guide to AI-Driven Game Development!
  Book Description
  In the rapidly evolving world of game development, integrating Artificial Intelligence (AI) into your Unreal Engine projects is no longer optional—it’s essential. Mastering AI for Unreal Engine is your definitive guide to unlocking the transformative power of AI, propelling your games beyond the ordinary and into the realm of cutting-edge, immersive experiences. 
  Through a step-by-step approach, you will explore a wide range of AI techniques, including pathfinding, behavior trees, perception systems, and the powerful Environment Query System (EQS). Each chapter delves into the theoretical underpinnings of these AI components, followed by hands-on exercises and real-world examples that demonstrate their integration within Unreal Engine. We will learn to create intelligent, dynamic, and engaging game experiences by leveraging the power of AI. 
  What sets this book apart is its deep dive into emerging AI frameworks like the Mass Framework, giving you a strategic edge in adopting the latest trends and technologies that are shaping the future of gaming. You’ll learn how to optimize your AI systems, enhance performance, and master debugging techniques critical for smooth, efficient development processes. 
  Mastering AI for Unreal Engine doesn’t just teach you AI—it empowers you to innovate, create intelligent game worlds, and stand out in the fiercely competitive game development landscape. 
  Table of Contents
  
  1. Introduction to Unreal Engine
  2. Unreal Blueprints
  3. Understanding AI in Games
  4. Navigation and Pathfinding
  5. Behavior Trees and Blackboards
  6. AI Perception
  7. StateTree
  8. Environment Query System
  9. SmartObjects
  10. Debugging AI in Unreal Engine
  11. Mass Framework and Future Trends in GameAI   
  Index

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  Oncology - Cancer Biology and...

  Ava Westwood

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  Oncology is the branch of medicine that focuses on the diagnosis, treatment, and prevention of cancer. It encompasses a wide range of practices, including understanding the biology of cancer, identifying risk factors, exploring therapeutic approaches, and addressing the challenges faced by patients with cancer. The discipline is vital to improving the lives of millions of people worldwide, with ongoing research aimed at advancing our knowledge and capabilities in combating the disease. 
  Cancer, a term used to describe a group of diseases characterized by uncontrolled cell growth, has been a significant health concern for centuries. It occurs when normal cells acquire genetic mutations that enable them to grow and divide uncontrollably, forming tumors or affecting other parts of the body. Despite significant advances in medical science, cancer remains a leading cause of death, highlighting the need for continued innovation in oncology. 
  The importance of oncology lies not only in the treatment of cancer but also in early detection and prevention. Through advancements in diagnostic techniques, clinicians can identify cancers at an earlier stage when treatment options are more effective, leading to better outcomes. The evolving field of oncology also involves interdisciplinary care, combining surgery, radiation, chemotherapy, immunotherapy, and targeted therapies to provide personalized treatment regimens that are tailored to the individual needs of patients.

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  Mastering ChatGPT and Google...

  Rosario Moscato

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  Learn how to harness the power of ChatGPT to streamline data analysis, accelerate model development, and unlock innovative solutions to real-world problems. 
  Book Description
  Unlock the future of machine learning by mastering Google Colab, trusted by over 5 million data scientists, and ChatGPT, powering 100 million users worldwide. This book bridges the latest in AI with practical, hands-on applications for data science. 
  With these game-changing tools at your command, you’ll be able to streamline complex workflows, automate tedious tasks, and propel your AI skills to new heights—making machine learning faster, smarter, and more accessible than ever before. 
  Each chapter unfolds a specific aspect of data science and machine learning, seamlessly integrated with ChatGPT’s free version capabilities. The foundational chapters introduce key machine learning concepts, while advanced sections explore topics such as natural language processing, sentiment analysis, and predictive analytics—all illustrated with real-world examples and interactive exercises. 
  Table of Contents
  
  1. Introduction to ChatGPT
  2. ChatGPT for Data Science and Machine Learning
  3. Fundamentals of Statistics for Data Science
  4. Missing Values and Outliers
  5. Relation Between Variables and Charts
  6. Data Preparation
  7. Training and Evaluation
  8. Fine Tuning, Features Selection, and Final Model
  9. Data Preparation and Training
  10. Fine Tuning and Final Model
  11. Data Analysis and Dataset Manipulation (NLP)
  12. Sentiment Analysis and Predictions
  13. ChatGPT-4 for a Completely Automated Data Science Workload
  14. Customizing GPT for Applications
  15. Takeaways and Conclusions   
  Index

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  Another Lousy Day in Paradise

  John Gierach

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  Brilliant, witty, perceptive essays about fly-fishing, the natural world, and life in general by the acknowledged master of fishing writers. 
   
   
   
  "Good fishing and good writing use the same skills," writes John Gierach, "whether you're after a trout or a story, you won’t get that far with brute force. You’re better off to watch, wait, and remain calm . . . letting it all happen, rather than trying to make it happen." As the wry and perceptive essays in Another Lousy Day in Paradise prove, Gierach knows his writing as well as his fishing. 
   
   
   
  Paradise, Gierach shows us, is relative; it can be found in the guilty luxury of fishing private waters or when one is soaked to the skin, in a small canoe on a big lake in a storm a hundred miles from anywhere, exhilarated after a day's fishing. There are also pleasures to be found in unexpected places: solitary fishing trips, fishing for less-appreciated fish like carp, or meeting a guide who at first seems like an inarticulate ax murderer but who proves to be a "Zen master among fishing guides." The point is to let things unfold as they will—because after all, says Gierach, "Basically, the world is a big, dumb trout, and you’re a fisherman with all the time in the world." As Gierach fans know, this is a description of paradise.

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  Cloud Computing for Beginners -...

  Johnny Nelson

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  Unlock the future of tech with Cloud Computing for Beginners: Learn AWS, Google Cloud, and Azure to Future-Proof Your Career and Business—the ultimate beginner’s guide to mastering the most powerful and in-demand cloud platforms in the world. Whether you’re a student, entrepreneur, IT professional, or career switcher, this audiobook will teach you the fundamentals of cloud computing in a way that’s clear, practical, and instantly applicable. 
  In today’s digital economy, cloud computing is no longer optional—it’s essential. This step-by-step audiobook demystifies the cloud and helps you understand how Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are transforming the way businesses store data, build apps, automate systems, and scale globally. Learn how to harness the power of these platforms to increase efficiency, reduce costs, and unlock innovation in any industry. 
  Explore real-world use cases, from hosting websites and automating workflows to deploying machine learning models and securing sensitive data. You'll also discover key concepts like SaaS, IaaS, and PaaS, and gain insights into tools such as EC2, S3, BigQuery, Kubernetes, and more—all explained in plain language for non-technical learners. 
  With cloud computing skills in high demand across every sector, this audiobook offers a future-ready roadmap for those looking to launch or grow a tech career, boost their résumé, or transform their business operations. No prior experience needed—just a willingness to learn and the drive to stay competitive in a rapidly evolving digital world. 
  Future-proof your knowledge. Future-proof your income. Cloud Computing for Beginners is your gateway to the cloud-powered economy.

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  Mayan Astronomy: The History of...

  Editors Charles River

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  Many ancient civilizations have influenced and inspired people in the 21st century, and the Greeks and Romans continue to fascinate the West today, but of all the world’s civilizations, none have intrigued people more than the Mayans, whose culture, astronomy, language, and mysterious disappearance all continue to captivate people. In the past decade especially, there has been a renewed focus on the Mayans, whose advanced calendar led many to speculate the world would end on the same date the Mayan calendar ended in 2012.  
  	For the Maya, astronomy was not a purely scientific pursuit but intimately linked to religious, mythological, and ideological elements that were of the highest importance. The celestial realm held a sacred nature, as did the many gods and goddesses that dwelt there, so for all Mesoamerican cultures, astronomy was a fundamental part of their everyday lives. Thus, astronomy was present in their calendars, religion, and even agriculture, and in close relation to astronomy, the concept of time was also an essential part of their worldview. The Maya recorded time on almost every surface they could, including lintels, cornices, panels, stelae, friezes, ceramics, and paper. This insistence on capturing dates has led many scholars to suggest the Maya were obsessed with time. 
  The Maya had some of the most advanced astronomical measurements in the world, and their work built upon thousands of years, spanning from around 2500 BCE until the the arrival of the Spanish in 1519. Thanks to their hieroglyphic writing, archaeologists have been able to learn a wealth of information about the way they lived and their complex system of beliefs.

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