AI Optimization Books
Explore tailored AI Optimization books created by our AI
AutoML Essentials
Mastering Neural Architecture Search for Intelligent Systems
Most machine learning practitioners spend countless hours manually designing neural network architectures, relying on intuition and trial-and-error. But what if you could automate this process entirely? Neural Architecture Search represents a fundamental shift in how we approach deep learning—moving from manual design to intelligent, automated discovery. This book demystifies NAS for practitioners with intermediate ML knowledge, showing you how to leverage automated techniques to find optimal network designs faster and more effectively than traditional methods. You'll explore the core concepts behind NAS, from search strategies and performance estimation to practical implementation frameworks. Whether you're building computer vision systems, natural language processing models, or specialized neural networks, this guide provides the knowledge and tools to implement NAS in your projects. Discover how leading organizations use NAS to reduce development time, improve model performance, and scale machine learning across diverse applications.
Mastering Hyperparameter Tuning
The Complete Guide to Optimizing Feedforward Neural Networks
Most machine learning practitioners treat hyperparameter tuning as an afterthought—randomly adjusting settings until results improve. This approach wastes time, computational resources, and leaves significant performance gains on the table. The reality is that hyperparameter tuning is a systematic discipline with proven principles and strategies that consistently outperform guesswork. This book teaches you how to approach hyperparameter optimization methodically, starting with the foundational concepts that explain why each hyperparameter matters, then progressing to practical techniques you can apply immediately. You'll learn which hyperparameters have the biggest impact on your results, how to search the hyperparameter space efficiently, and how to interpret what your model is telling you during training. Whether you're building your first neural network or optimizing complex architectures, this guide provides the frameworks and tools to make informed decisions that lead to better models, faster convergence, and genuine performance improvements.
Discover how the brain's elegant system of chemical signal modulation holds the key to building smarter, more adaptive artificial intelligence. This book takes you through the fascinating intersection of neuroscience and machine learning, revealing how neuromodulation principles—the mechanisms that allow biological neural systems to dynamically adjust and optimize their responses—directly translate into powerful AI techniques. You'll explore how attention mechanisms work as computational neuromodulators, how adaptive optimizers mirror biological learning processes, and how reward-based systems inspired by dopamine create more intelligent machines. Through clear explanations, practical examples, and visual frameworks, you'll understand why some neural networks learn faster, generalize better, and adapt more effectively than others. Whether you're building deep learning models, optimizing training pipelines, or designing adaptive systems, this book equips you with the conceptual foundation and practical insights to leverage neuromodulation principles for superior AI performance.
Quantum Annealing Essentials
Mastering the Next Generation of Optimization Algorithms
Imagine solving optimization problems that would take classical computers years to complete—in minutes. Quantum annealing makes this possible by harnessing quantum mechanics to navigate solution spaces more intelligently than traditional algorithms. This book demystifies quantum annealing for professionals ready to understand this transformative technology. You'll explore the quantum physics foundations that make annealing work, discover which real-world problems benefit most from quantum approaches, and learn practical techniques for implementing solutions on current quantum hardware. Whether you're optimizing supply chains, training machine learning models, or tackling combinatorial challenges, this guide equips you with both theoretical understanding and actionable insights. Move beyond the hype to grasp quantum annealing's genuine capabilities, current limitations, and the hybrid strategies that deliver results today. Perfect for computer scientists, algorithm developers, and technical leaders seeking competitive advantage through quantum-enhanced optimization.
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What if your app could serve twice as many users simply by making it accessible? Millions of people with disabilities want to use Android apps but face barriers created by poor design choices. This book shows you how to remove those barriers and build applications that work seamlessly for everyone. You'll learn the practical techniques for implementing screen reader support, voice control, and other assistive technologies. Discover how semantic markup, proper content descriptions, and inclusive design patterns create apps that are easier to use for all users. Through real-world examples and step-by-step guidance, you'll master the Android Accessibility Framework and understand WCAG 2.1 standards. Learn testing strategies that reveal accessibility issues before your users encounter them. By the end, you'll have the knowledge to make accessibility a core part of your development process, not an afterthought—expanding your market reach while creating genuinely inclusive digital experiences.
Imagine delivering software that consistently meets stakeholder expectations, where every feature works exactly as intended, and your team moves with confidence through changes and refactoring. This is the reality when you master acceptance test-driven development. This comprehensive guide takes you beyond the basics to show you how ATDD transforms the way teams develop software. You'll learn how to write acceptance tests that serve as living documentation, collaborate effectively with business stakeholders to define clear acceptance criteria, and integrate ATDD seamlessly into your Extreme Programming workflow. Whether you're struggling with unclear requirements, dealing with late-stage defect discovery, or simply want to elevate your development practices, this book provides practical strategies, real-world examples, and proven techniques. You'll understand not just the "how" but the "why" behind acceptance test-driven development, enabling you to make informed decisions about implementation in your own context. Master this essential XP practice and watch your team's productivity and code quality soar.
Take your TypeScript skills from intermediate to advanced in just 30 days with a structured, project-driven approach. This book guides you through focused techniques that matter most: mastering advanced types like generics and conditional types, writing reliable async code with proper error handling, integrating TypeScript with modern frameworks, and building confidence through comprehensive testing strategies. Each day builds on the previous one, combining theory with hands-on coding projects that you'll actually use. You'll refactor real code, understand why type safety matters, and develop the patterns that separate good TypeScript developers from great ones. By day 30, you'll have the skills to write safer, more maintainable code and the portfolio projects to prove it. This isn't theory—it's practical, accelerated learning designed for developers ready to level up.
Discover how to build software that meets expectations from day one. Acceptance test-driven development (ATDD) transforms how teams define, test, and deliver quality software by writing acceptance tests before development begins. This practical guide shows you how to collaborate with stakeholders to define clear acceptance criteria, automate those criteria into executable tests, and use them to guide development and beta testing efforts. You'll learn to bridge the communication gap between business requirements and technical implementation, reduce costly defects discovered late in the cycle, and create living documentation that keeps pace with your product. Whether you're a QA professional, beta tester, or developer, this book provides actionable strategies, real-world examples, and proven frameworks to implement ATDD in your organization. Move beyond traditional testing approaches and join teams that are catching defects earlier, improving stakeholder alignment, and delivering software with confidence.
Building systems that reliably handle data is one of the hardest challenges in backend development. Without a solid understanding of ACID properties, you risk data corruption, lost transactions, and system failures that cascade through your application. This book demystifies the four pillars of database reliability—Atomicity, Consistency, Isolation, and Durability—and shows you exactly how to apply them in real-world scenarios. You'll learn why these properties matter, how they work under the hood, and how to leverage them when designing transactions, choosing databases, and handling failures. Whether you're building a financial system that can't afford to lose a penny or a high-traffic application that needs to scale, understanding ACID properties gives you the confidence to make architectural decisions that keep your data safe and your systems running smoothly.
Create an AI Optimization Book Tailored to You
Create an AI-crafted book tailored to your goals, interests, and background
Benefits of AI-tailored books
- Read one book, not ten:
- all the AI Optimization knowledge you need, gathered into a single book.
- Save days of learning:
- tell us your goals, choose your topics, and the whole book is built around them.
- Learn effortlessly:
- AI Optimization book written for your specific background and expertise.
- Understand at a glance:
- includes charts, tables, timelines, checklists, decision trees, and more.
- Stay current:
- written the day you order it, not years ago.
- Trust what you read:
- every book is checked for accuracy, with real research when your subject needs it.
Create your unique book in 3 steps
- 1. Select your focus
Select the focus of your AI Optimization book and share your background
- 2. Personalize your book
Specify your goals and choose sub-topics to include
- 3. Get your tailored book
Your book is ready in 10 minutes. Read it online, download as EPUB or PDF, or send to Kindle.
Start from a template
Frequently asked questions
- What is TailoredRead?
TailoredRead creates complete, full-length nonfiction ebooks, written specifically for you. Tell us what you want to learn and why, and TailoredRead writes you a complete ebook on it, with charts, tables, and diagrams throughout. Read it online, on Kindle, or on any e-reader, or download it as a PDF or EPUB. Every book is written fresh the day you order it.
- How is the book tailored to me?
Before anything is written, you answer a few short questions about your goals, your background, and the topics you care about. Your book is then planned around your answers: written at your level, focused on your goals, and covering the topics you chose, instead of the one-size-fits-all book a store sells everyone.
- Will it read like generic AI content?
No. Your book isn't a chat transcript: it's planned chapter by chapter before a single word is written, told in a clear book voice, and explains ideas visually with charts, tables, and diagrams. After writing, every book goes through an editorial pass that polishes chapters so the book reads consistent from start to finish. Judge for yourself: browse thousands of sample books on our Explore Books page.
- How accurate is the content?
Our AI first checks whether your subject needs live research. Niche and fast-moving subjects are researched before writing, and the book plan and chapters are grounded in what it finds. After writing, every book goes through a quality pass that checks its facts and consistency, and researched books list their sources in a Notes section at the back.
- How long is the book?
You choose the length: Comprehensive (250-300 pages), Detailed (150-200 pages), Essential (70-100 pages), or Short (30-50 pages).
- Does the book include visuals?
Yes. Every book includes charts, tables, and diagrams: timelines, checklists, step-by-step guides, decision trees, comparison tables, matrices, and bar charts. A typical book includes dozens of these visual elements.
- Can I read it on Kindle? What formats can I download?
Yes. Every book can be read in our online reader or downloaded as a PDF or EPUB. The EPUB can be opened with Kindle, Apple Books, Kobo, and any e-reader. The Commercial and Author licenses also include an editable Word (DOCX) and Markdown download.
- How much does it cost?
About the price of a regular ebook. The exact price depends on your book's length and complexity, from $2 for the shortest books to $35 for the most comprehensive, and it's shown when you review your book, before you commit to anything. Each book is a one-time purchase, yours to keep, no subscription. Licenses that let you share, teach, or publish your book range from $35.99 to $49.99.
- Can I preview the book before purchasing?
Before you pay, you'll see what your book will cover: the title, a detailed description, the estimated length, and the complete chapter-by-chapter table of contents, so you know what you're getting before you decide. The full text itself is written after you purchase.
- How long does it take to create a book?
About 10 minutes. You can start reading the opening chapters while the rest is still being written.