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Six of Crows by Leigh Bardugo

Original price was: $17.48.Current price is: $15.50.

Binding: Paperback
Language: English
ISBN: 978-1250211101
Reader’s Age: Teens 13–17 and Adults 18+
Ships Within: 5–10 Business Days
Author: Leigh Bardugo
Release Date: October 16, 2018
Genre: Fiction

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Description

Six of Crows by Leigh Bardugo – A Thrilling Heist Fantasy Novel

About the Book

Six of Crows follows six outcasts from the criminal underworld of Ketterdam as they team up for a heist that could make them rich beyond their wildest dreams, if it does not get them killed first. This is a fast paced fantasy novel built around trust, betrayal, and second chances.

About the Author

Leigh Bardugo is a bestselling author known for creating the Grishaverse, a richly built fantasy world that has earned praise from readers and critics for its depth and originality. Her storytelling has made her one of the most recognized names in modern young adult fantasy.

Who Is This Book For?

This book is perfect for readers who enjoy fantasy stories with morally grey characters, clever plotting, and found family dynamics. If you love heist stories mixed with magic and high stakes, this one is for you.

Do you enjoy stories where every character has a secret? Six of Crows gives you six of them at once.

Frequently Asked Questions (FAQs)

Is Six of Crows a standalone book or part of a series?
Six of Crows is the first book in a duology, followed by Crooked Kingdom. It works best when read in order for full context.

Do I need to read the Shadow and Bone trilogy before Six of Crows?
No, Six of Crows can be read on its own since it follows new characters, though reading Shadow and Bone first adds extra background to the Grishaverse.

What age group is Six of Crows suitable for?
Six of Crows is generally recommended for teens 13 and up as well as adult readers who enjoy young adult fantasy with darker themes.

Additional information
Weight2 g
Dimensions5.55 × 3.05 × 8.45 cm

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Fajr and Noor By S. Hukr USA
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O’Reilly Designing Autonomous AI By Joseph Pareti

Original price was: $50.65.Current price is: $34.55.

Binding: Paperback
Language: English
ISBN-13: 978-1098110758
Reader’s Age: Adults 18+ (Professionals, Students, AI Enthusiasts)
Ships Within: 5–10 Business Days
Author: Joseph Pareti
Release Date: July 19, 2022
Genre: Science & Technology

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Description

Build Next-Generation Autonomous AI Systems with Expert-Backed Strategies and Real-World Implementation Techniques

About the Book

Designing Autonomous AI is your definitive roadmap to creating intelligent systems that operate independently and make informed decisions in dynamic environments. Published by O’Reilly Media and authored by AI expert Joseph Pareti, this paperback delivers practical frameworks for building autonomous agents using reinforcement learning, decision-making algorithms, and adaptive architectures. Whether you’re developing robotics, autonomous vehicles, or intelligent software agents, this book bridges theory and real-world application with clarity and depth.

About the Author

Joseph Pareti brings extensive experience in artificial intelligence, machine learning, and autonomous systems development. As a recognized authority in AI architecture, Pareti has worked on cutting-edge projects spanning intelligent automation and self-learning technologies. His practical approach makes complex AI concepts accessible to engineers and developers at every level.

Who Is This Book For?

This book is ideal for software engineers, AI developers, data scientists, and graduate students who want to move beyond basic machine learning into the realm of truly autonomous systems. If you’re building applications that require independent decision-making, adaptive learning, or intelligent automation, this guide provides the technical foundation and implementation strategies you need. It’s also valuable for technical leaders evaluating autonomous AI solutions for their organizations.

Frequently Asked Questions (FAQs)

Q: What programming languages are used in Designing Autonomous AI?
The book primarily focuses on Python implementations, as it’s the industry standard for AI and machine learning development. You’ll find practical code examples that you can adapt for your autonomous AI projects.

Q: Do I need prior machine learning experience to read this book?
A solid understanding of machine learning fundamentals is recommended. While the book explains autonomous AI concepts thoroughly, familiarity with neural networks, optimization, and basic algorithms will help you get maximum value from the advanced techniques covered.

Q: How is autonomous AI different from traditional machine learning?
Autonomous AI systems make independent decisions and learn from their environment without constant human guidance, while traditional ML often requires supervised training and explicit programming for each scenario. This book shows you how to build systems that adapt and improve on their own.

Q: Can I apply these techniques to robotics and autonomous vehicles?
Absolutely. The principles and frameworks in this book apply directly to robotics, autonomous vehicles, drones, and any system requiring independent decision-making. The author includes relevant examples from these domains throughout the content.

Q: Is this book suitable for building production-ready autonomous systems?
Yes, the book emphasizes practical implementation and production considerations, including system evaluation, safety constraints, and deployment strategies. You’ll gain the knowledge to build autonomous AI systems that work reliably in real-world environments.

Additional information
Weight450 g
Dimensions17.78 × 1.91 × 23.5 cm
Short Summary

You'll learn how to design AI architectures that operate with minimal human oversight, implement reinforcement learning algorithms for continuous improvement, create decision-making frameworks that handle uncertainty, and deploy autonomous agents across various domains. The book covers essential topics including environment modeling, reward optimization, policy development, and system evaluation—all explained with practical code examples and real-world use cases that accelerate your path from concept to deployment.

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