Designing Machine Learning Systems

Designing Machine Learning Systems : An Iterative Process for Production-Ready Applications, by Chip Huyen

Introduction to Machine Learning Systems

Scala for Machine Learning: Build systems for data processing, machine learning, and deep learning

Building Machine Learning Systems with a Feature S

Building Machine Learning Systems with a Feature Store

Building Machine Learning Systems with a Feature Store

Building Intelligent Systems: A Guide to Machine Learning Engineering

Machine Learning Pipelines: A Comprehensive Guide to Building and Deploying Intelligent Systems

Machine Learning Production Systems - by Robert Crowe & Hannes Hapke & Emily Caveness & Di Zhu (Paperback)

Feature Engineering Made Easy: Identify unique features from your dataset in order to build powerful machine learning systems

Designing Machine Learning Systems: Step by Step Tutorials (Paperback)

Production Data Engineering for Machine Learning: Designing, Building, and Operating the Data Foundations of Real-World ML Systems Framework and Blueprints (Enterprise Machine Learning Operations)

Building Machine Learning Systems with Python - Second Edition: Get more from your data through creating practical machine learning systems with Python (Paperback)

Operationalizing Machine Learning Pipelines: Building Reusable and Reproducible Machine Learning Pipelines Using MLOps

Introducing Machine Learning

Machine Learning Engineering with Python - Second Edition - 2nd Edition by Andrew McMahon (Paperback)

Machine Learning Algorithms: A reference guide to popular algorithms for data science and machine learning

Machine Learning: Hands-on for Developers and Technical Professionals

Building Machine Learning Pipelines

The MLflow Handbook: End-to-End Machine Learning Lifecycle Management

The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems

Machine Learning Model Serving Patterns and Best Practices: A definitive guide to deploying, monitoring, and providing accessibility to ML models in production

Managing Machine Learning Projects: From design to deployment

Machine Learning For Absolute Beginners: A Plain English Introduction (Machine Learning From Scratch)

Machine Learning

Pre-Owned Machine Learning Big Data and IoT for Medical Informatics (Intelligent Data-Centric Systems) [Paperback] Kumar Pardeep; Kumar Yugal; Tawhid Mohamed A. and Xhafa Fatos

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models (Paperback)

A Human's Guide to Machine Intelligence

Machine Learning for Oracle Database Professionals: Deploying Model-Driven Applications and Automation Pipelines

Kubeflow for Machine Learning

The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting

Information about Machine learning (Paperback)

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Python: Real World Machine Learning

Machine Learning a Concise Introduction

Pre-Owned Machine Learning Essentials: Practical Guide in R 9781986406857 1986406857 Paperback

A Hands-On Introduction to Machine Learning

Building Machine Learning Powered Applications

Building Machine Learning Powered Applications

Deep Learning Cookbook: Practical Recipes to Get Started Quickly

Machine Learning: A Comprehensive Beginner s Guide (Hardcover)

Mastering Machine Learning with Spark 2.x (Paperback)

Machine Learning Applications

Optimizing Machine Learning Models for Deployment (Paperback)

Just Enough Data Science and Machine Learning: Essential Tools and Techniques

Just Enough Data Science and Machine Learning: Essential Tools and Techniques

Handbook of Research on Machine Learning Innovations and Trends

Pre-Owned Learn Amazon SageMaker: A guide to building training and deploying machine learning models for developers and data scientists (Paperback) 180020891X 9781800208919