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Bayesian Optimization in Action
Apply advanced techniques for optimizing machine learning processes. Bayesian optimization helps pinpoint the best configuration for your machine learning models with speed and accuracy.
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Acing the System Design Interview
The system design interview can be the hardest part of the software engineering hiring process. This practical book gives you the insights, skills, and practice you need to ace the toughest system design interview questions and land the job and salary you want.
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Designing Microservices
In Designing Microservices you’ll learn an elegant approach to microservices architecture that’s based on the principles of loose coupling, high cohesion, and isolation. Created by award-winning microservices veteran S. Ramesh, this cutting-edge method has been proven and tested in high-stakes enterprise environments.
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Managing Machine Learning Projects
Managing Machine Learning Projects is an end-to-end guide for project managers who need to deliver machine learning applications on time and under budget. It gives you a unique set of tools, approaches, and processes designed to handle the unique requirements of machine learning project management—all proven in practice to deliver success in full-scale business environments.
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F# in Action
F# in Action teaches you the practical F# development skills you need to create professional applications. It’s based on author and Microsoft F# MVP Isaac Abraham’s years of experience working with developers as an F# consultant.
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Acing the Certified Kubernetes Administrator Exam
Becoming a Kubernetes administrator is a big accomplishment—and passing the Certified Kubernetes Administrator (CKA) exam can be a big boost to your career! Learn the hands-on skills you need to ace the exam with clear teaching and hands-on exercises that match the unique CKA test environment.
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.NET in Action, Second Edition
Learn to build standout line-of-business applications using Microsoft’s .NET Framework, the premier platform for enterprise business development.
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Causal Inference for Data Science
Causal Inference for Data Science shows you how to build data science tools that can identify the root cause of trends and events. You’ll learn how to interpret historical data, understand customer behaviors, and empower management to apply optimal decisions.
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Knowledge Graphs Applied
Knowledge graphs help understand relationships between the objects, events, situations, and concepts in your data so you can readily identify important patterns and make better decisions. This book provides tools and techniques for efficiently labeling data, modeling a knowledge graph, and using it to derive useful insights.
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Learn dbatools in a Month of Lunches
If you work with SQL Server, dbatools is a lifesaver. This book will show you how to use this free and open source PowerShell module to automate just about every SQL server task you can imagine—all in just one month!
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Machine Learning with R for Text Data
Leveraging tools widely used by data scientists and academic researchers—including R, the tidymodels framework, feature engineering techniques, and ML algorithms—you’ll perform exploratory data analysis (EDA) to prepare for predictive modeling, preprocess the text data, develop core ML models, and train DL models.
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Getting Started with Kubernetes
In this series of liveProjects, you’ll take a booming online business from monolith to modern by leveraging the power of the cloud. Adopting Kubernetes as a container orchestrator will ensure application uptime, lower operational costs, and help the application scale as needed.
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