Bloody Heart by Sophie Lark USA
Bloody Heart by Sophie Lark Original price was: $13.29.Current price is: $10.28.
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Savage Lover by Sophie Lark USA
Savage Lover by Sophie Lark Original price was: $9.49.Current price is: $6.48.

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The Broken Protector by Nicole Snow

Original price was: $13.28.Current price is: $10.27.

Binding: Paperback
Language: English
ISBN-13: 979-8399173085
Reader’s Age: Adults 18+
Ships Within: 5–10 Business Days
Author: Nicole Snow
Release Date: June 20, 2023
Genre: Romantic Suspense

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Description

The Broken Protector: A Small Town Enemies to Lovers Romance by Nicole Snow (Dark Hearts of Redhaven Series, Book 1)

About the Book

The Broken Protector is a steamy, heart-racing small-town romance packed with sharp wit, slow-burn tension, real danger, and a love story that hits you right in the chest. It is the perfect read for anyone who loves a grumpy-but-good hero, a headstrong heroine, and a mystery that keeps the pages turning.

From the Back Cover

She came to Redhaven for a fresh start and found a dead body instead. Now the only person standing between her and real danger is the one man she absolutely cannot stand. Lucas Graves is bossy, overprotective, and impossible to ignore. The line between enemy and everything is dangerously thin in this town.

About the Author

Nicole Snow is a Wall Street Journal and USA Today bestselling author who found her passion for writing during lunch breaks and plotting escapes from corporate boardrooms. With over a million books sold since her debut in 2014, she is known for crafting alpha heroes with hearts of gold, unbelievable suspense, and deeply emotional love stories. Amazon

Who Is This Book For?

This book is a perfect pick for adult romance readers who love a grumpy-sunshine dynamic, small-town settings with a dark twist, and stories where the tension crackles from page one. If you enjoy authors like Elsie Silver, Hannah Grace, or Devney Perry, this series will feel like home.

Frequently Asked Questions (FAQs)

Q1. Is The Broken Protector part of a series, or can it be read as a standalone? The Broken Protector is Book 1 in the Dark Hearts of Redhaven series by Nicole Snow. While it works as a standalone with a complete love story and satisfying ending, reading it first sets you up perfectly to enjoy the rest of the series. Each book follows a different couple in the same small town.

Q2. What genre is The Broken Protector? Is it just romance or does it have suspense too? It is a contemporary romance with a strong romantic suspense element. Readers get a grumpy-sunshine enemies-to-lovers love story alongside a genuine mystery and real danger. So if you love romance that also keeps you guessing, this book delivers both.

Q3. Is this book appropriate for all ages? The Broken Protector is written for adult readers aged 18 and above. It contains mature themes, steamy romantic content, and suspenseful situations. It is not suitable for children or younger teens.

Q4. How many pages is the paperback edition of The Broken Protector? The paperback edition runs 442 pages, published in 2023 by independently published under ISBN 9798399173085. AbeBooks It is a full-length novel that gives you plenty of story, drama, and romance to sink into.

Additional information
Weight450 g
Dimensions5 × 1 × 8 cm
Short Summary

Delilah moves to the quiet town of Redhaven looking for peace, but her new home holds a dark secret right from the start. Sheriff Lucas Graves steps in to protect her, even though the two of them clash at every turn. The story blends enemies-to-lovers fire, hilarious sweetness, heart-thumping suspense, and all the butterflies into one big feel-good small-town romance. Goodreads Beneath the banter and push-and-pull attraction, both characters carry real wounds, and watching them slowly open up to each other is what makes this story so worth reading.

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Quality of Earnings by Thornton L. O'Glove USA
Quality of Earnings by Thornton L. O'Glove Original price was: $14.59.Current price is: $11.58.
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Unlimited Memory by Kevin Horsley USA
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Practical MLOps by Noah Gift

Original price was: $58.48.Current price is: $40.35.

Binding: Paperback
Language: English
ISBN-13: 9781098103017
Reader’s Age: Adults 18+ (Tech Professionals, Data Scientists, ML Engineers)
Ships Within: 5–10 Business Days
Author: Noah Gift and Alfredo Deza
Release Date: October 19, 2021
Genre: Science & Technology

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Description

Learn Machine Learning Operations and Deploy Production-Ready ML Systems with Practical MLOps

About the Book

Practical MLOps bridges the gap between machine learning experimentation and production deployment. Written by industry experts Noah Gift and Alfredo Deza, this comprehensive guide walks you through the entire MLOps lifecycle—from model development and testing to continuous integration, monitoring, and scaling. You’ll learn how to automate ML workflows, implement best practices for model governance, and build systems that deliver reliable predictions at scale. This isn’t just theory; it’s a practical roadmap filled with real-world examples, code samples, and architectural patterns you can apply immediately.

About the Author

Noah Gift is an executive in residence at the Graduate Data Science program at Northwestern University and teaches MLOps at Duke University. With decades of experience in cloud computing, AI, and DevOps, he’s helped countless organizations implement successful machine learning operations. Alfredo Deza is a software engineer with extensive experience in automation, testing, and distributed systems. Together, they bring both academic insight and battle-tested industry knowledge to help you master the complexities of putting ML into production.

Who Is This Book For?

This book is designed for data scientists who want to move beyond model training, software engineers building ML infrastructure, DevOps professionals integrating ML into CI/CD pipelines, and ML engineers responsible for deploying and maintaining models. If you’re tired of models that work perfectly in development but fail in production, or if you’re struggling with version control, monitoring, and scaling challenges, this guide provides the frameworks and techniques you need to build reliable, maintainable ML systems that deliver consistent business value.

Frequently Asked Questions (FAQs)

Q: What is MLOps and why do I need to learn it?
MLOps (Machine Learning Operations) is the practice of deploying, monitoring, and maintaining ML models in production. You need it because building models is only 20% of the work—the real challenge is making them reliable, scalable, and maintainable in business environments where decisions depend on them.

Q: Do I need prior experience with DevOps or cloud platforms?
Basic familiarity with programming and machine learning concepts is helpful, but the book explains MLOps fundamentals from the ground up. You’ll learn cloud deployment, containerization with Docker, and CI/CD practices specifically tailored for ML workflows throughout the chapters.

Q: Which tools and platforms does Practical MLOps cover?
The book covers industry-standard MLOps tools including Docker, Kubernetes, GitHub Actions, AWS SageMaker, Azure ML, and popular Python frameworks. You’ll learn platform-agnostic principles that apply across different cloud providers and toolchains.

Q: How is MLOps different from traditional DevOps?
MLOps extends DevOps practices to handle unique ML challenges like data versioning, model reproducibility, experiment tracking, feature store management, and model drift detection. Traditional DevOps focuses on code deployment; MLOps manages the entire lifecycle of data, models, and predictions.

Additional information
Weight750 g
Dimensions23.50 × 2.54 × 19.05 cm
Short Summary

Inside Practical MLOps, you'll discover how to design end-to-end ML pipelines, automate model training and deployment, implement continuous integration and delivery for machine learning, monitor model performance and detect drift, and scale ML systems using cloud platforms and containers. You'll gain hands-on experience with popular MLOps tools and learn proven patterns for organizing teams, managing experiments, and ensuring model reproducibility in production environments.

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