Machine Learning Systems

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

Ned discovers a hard truth about his past but will it also endanger the future of the universe? After reconnecting with an old acquaintance, Hank’s AI companion is on the hunt for more information and it just might bring them closer than ever to Twain. But the old Enemy AI has a few tricks up his sleeve. And while they pursue the villain, the crew also find themselves in the crosshairs. Having angered a shadowy sect, the hunters become the hunted.

Inside this book, readers will learn how to: Apply a five-question framework before writing a single line of architecture — identifying what decision the system supports, who consumes its output, how fresh that output must be, what a wrong output costs, and what the system does when it is unavailable Design the data layer for ML workloads from first principles — covering data contracts, schema versioning, lineage tracking, and the boundary discipline that prevents the silent cross-team failures most ML incidents trace back to Build feature engineering pipelines with point-in-time ...

In her second week at a logistics startup, a bootcamp graduate received a ticket that read, simply, “add machine learning to flag late shipments.” She spent two days searching for a model to download before a senior engineer asked one question: how do late shipments get labeled today? The answer was sitting in a single column of the orders table. The ticket needed a SQL query and an alert, not a neural network. She had reached for machine learning because the word was in the ticket — not because the problem required it. That story is where most ML introductions fail the people who ...

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete...

A collection of shockingly prescient stories covering topics from aliens to AI, including some that have never before been seen, from the New York Times best-selling author of the Silo trilogy Hugh Howey is known for crafting riveting and immersive page-turners of boundless imagination, spawning...

You didn’t save time, you just started managing AI. You try to get AI to do something. You write a prompt, expecting it to handle the task. It gives you an answer… but it’s not really what you wanted. So you tweak it. Add a bit more detail. Try again. Now there’s another issue. Something still feels off. So you adjust it again. Rewrite parts of it. Clarify what you meant. And it keeps going like this. Each time, you get a little closer… but never quite there. So you step in again—guiding it, correcting it, fixing it. Before long, you’re constantly tweaking and micromanaging ...

Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by fine-tuned algorithms trained with huge data sets. In this guide, you're going to be handed all the information and tools you need to transform data into powerful insights.

The integration of Machine Learning (ML) in HVAC is transforming the way heating, ventilation, and air conditioning systems operate. Traditional HVAC systems have long relied on fixed schedules, static control algorithms, and reactive maintenance strategies. However, with the advancement of artificial intelligence (AI), IoT sensors, and big data analytics, HVAC systems can now optimize performance, improve energy efficiency, and predict failures before they occur. This book explores how machine learning is revolutionizing HVAC, from predictive maintenance and smart controls to fault ...

Most sports bettors lose for one simple reason: They are guessing in a market that is built on pricing, probability, and information flow—not opinions. Advanced AI Sports Betting Strategies pulls back the curtain on how modern betting markets actually work and shows how professional bettors, quantitative thinkers, and data-driven operators approach sports wagering in the age of AI. This is not a beginner’s “pick winners” guide. It is a structured system for thinking like a market analyst, where every bet is evaluated through: probability, not emotion expected value, not intuition ...

Transform fragile machine learning models into resilient software architecture and master scalable system engineering. Perfect for your focused morning commute, this analytical journey shifts your mindset from theoretical data science to practical, production-ready development. Stop struggling...

Machine learning has matured—but most books still treat it as a collection of models rather than a system that must survive real-world use. In practice, machine learning fails not because of weak algorithms, but because of poor problem framing, fragile data pipelines, misleading evaluation, and neglected feedback loops. Models that look impressive in notebooks often break quietly in production. Metrics drift. Assumptions decay. Decisions made early become constraints years later. Machine Learning Systems for the AI Era is written for practitioners who want to move beyond training models ...

Can a neural network genuinely understand the currency market or can it only produce convincing explanations of the past? Foreign-exchange markets generate enormous quantities of prices, economic data, news, and trading signals. Deep-learning systems can process this information at a scale no human analyst can match. Yet greater computational power does not automatically produce reliable forecasts, profitable decisions, or a deeper understanding of market behavior. Deep Learning for Forex Trading is a comprehensive exploration of how modern artificial-intelligence architectures can be ...

"A must-read for financial services leaders seeking clarity amid chaos and hype." — Theodora Lau, American Banker Top 20 Most Influential Women in Fintech "Cuts through the noise to provide executives with a clear roadmap for deploying agentic AI." — Ron Shevlin, Chief Research Officer, Cornerstone Advisors "A practical framework for how banks, treasurers, and policymakers can harness AI agents to drive speed, resilience, and trust at scale." — Rodrigo Luis Garcia, President North America, Western Union Finance is shifting from platforms to intelligence. The Agentic Bank reveals how ...

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

"Distributed Machine Learning Systems" is a comprehensive textbook and practical guide designed to navigate the exciting and complex intersection of machine learning and distributed computing. It serves as a one-stop resource for students, academics, and professionals seeking to understand, design, and implement machine learning solutions at scale. Philosophy The core philosophy of this book is to bridge the gap between theory and practice. Machine learning is not merely a collection of algorithms; it is an engineering discipline. Similarly, distributed systems are not just theoretical ...

Discover the transformative power of Algorithmic Trading with AI Trading Systems. This groundbreaking book empowers traders and finance professionals to master AI-driven trading strategies, unlocking limitless potential in financial markets. Equip yourself with cutting-edge knowledge to harness the capabilities of Artificial Intelligence and seize unprecedented opportunities for growth. Unlock the secrets of AI-enabled trading and redefine your strategies for efficiency and precision. With this comprehensive guide, you'll master insightful techniques and strategies that guide you from ...

Agentic AI: Build Your First Autonomous Agent System A practical guide for leaders, developers, and curious minds “Agents (…) bring the biggest revolution in computing since we went from typing commands to tapping icons.” —Bill Gates “AI agents will become the primary way we interact with computers.” —Satya Nadella In a world amazed by ChatGPT, an even greater shift is here: AI Agents. Like Jarvis or Samantha, they execute tasks, learn, and orchestrate digital interactions with minimal oversight—redefining business, work, and life. But there’s a gap between hype and ...

Transform predictive modeling into powerful decision-making with practical causal inference tools for real-world AI. Whether commuting to the office or deep in focused learning, this guide bridges the gap between correlation and true causation. Stop relying on naive analyses that fail when...

Artificial Intelligence is the bedrock of the future economy and the new global operating system that will quietly power every industry, process, and decision. In The Future After AI, top-ranked economist and world-renowned futurist Jason Schenker explores how AI will underpin finance, technology, energy, healthcare, education, and business. AI is transforming the global economy in ways as profound as the internet and computers once did. But just as we no longer marvel at using the internet, AI's impact is likely to become so deeply embedded in technology and society that we might soon stop...