Sign-In
Cart
Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
Paperback
ISBN13: 9781801079259
Publisher: Packt Pub
Published: Nov 5 2021
Pages: 276
Weight: 1.06
Height: 0.58 Width: 7.50 Depth: 9.25
Language: English
Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environments
Key Features- Explore hyperparameter optimization and model management tools
- Learn object-oriented programming and functional programming in Python to build your own ML libraries and packages
- Explore key ML engineering patterns like microservices and the Extract Transform Machine Learn (ETML) pattern with use cases
Machine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services.
Machine Learning Engineering with Python takes a hands-on approach to help you get to grips with essential technical concepts, implementation patterns, and development methodologies to have you up and running in no time. You'll begin by understanding key steps of the machine learning development life cycle before moving on to practical illustrations and getting to grips with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and deployment across all your projects in a consistent way. The book will also help you get hands-on with deployment architectures and discover methods for scaling up your solutions while building a solid understanding of how to use cloud-based tools effectively. Finally, you'll work through examples to help you solve typical business problems.
By the end of this book, you'll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering.
What you will learn- Find out what an effective ML engineering process looks like
- Uncover options for automating training and deployment and learn how to use them
- Discover how to build your own wrapper libraries for encapsulating your data science and machine learning logic and solutions
- Understand what aspects of software engineering you can bring to machine learning
- Gain insights into adapting software engineering for machine learning using appropriate cloud technologies
- Perform hyperparameter tuning in a relatively automated way
This book is for machine learning engineers, data scientists, and software developers who want to build robust software solutions with machine learning components. If you're someone who manages or wants to understand the production life cycle of these systems, you'll find this book useful. Intermediate-level knowledge of Python is necessary.
Table of Contents- Introduction to ML Engineering
- The Machine Learning Development Process
- From Model to Model Factory
- Packaging Up
- Deployment Patterns and Tools
- Scaling Up
- Building an Example ML Microservice
- Building an Extract Transform Machine Learning Use Case
Also in
Databases
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Kleppmann, Martin
Riccomini, Chris
Paperback
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Reis, Joe
Housley, Matt
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
Observability Engineering: Achieving Production Excellence
Miranda, George
Majors, Charity
Fong-Jones, Liz
Paperback
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
Kimball, Ralph
Ross, Margy
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Paperback
Learning Tableau 2025 - Sixth Edition: Leverage Tableau's newest features to revolutionize your data storytelling with AI-enhanced insights
Milligan, Joshua N.
Paperback
The Data Storyteller's Handbook: How to create business impact using data storytelling
Greenbrook, Kat
Paperback
Ai-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Bruce, Peter
Bruce, Andrew
Gedeck, Peter
Paperback
Microsoft Power Bi Data Analyst Associate Study Guide: Prepare for the Pl-300 Exam and Use Power Bi Successfully
Turley, Paul
Paperback
Database Systems: Introduction to Databases and Data Warehouses, Edition 2.0
Sharma, Abhishek
Jukic, Nenad
Vrbsky, Susan
Paperback
High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark
Polak, Adi
Warren, Rachel
Karau, Holden
Paperback
SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights
Tanimura, Cathy
Paperback
Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
Bonifield, James
Paperback
Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems
Konieczny, Bartosz
Paperback
Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition
Nestler, Scott
Pelechrinis, Konstantinos
Winston, Wayne L.
Paperback
SQL Server 2025 Unveiled: The Ai-Ready Enterprise Database with Microsoft Fabric Integration
Ward, Bob
Paperback
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Goldmeier, Jordan
Gutman, Alex J.
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Paperback
Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice
Alhussein, Derar
Paperback
Observability Engineering: Achieving Production Excellence
Majors, Charity
Fong-Jones, Liz
Miranda, George
Paperback
Product Operations: How successful companies build better products at scale
Perri, Melissa
Tilles, Denise
Paperback
Turning Data into Wisdom: How We Can Collaborate with Data to Change Ourselves, Our Organizations, and Even the World
Hanegan, Kevin
Paperback
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Palino, Todd
Sivaram, Rajini
Shapira, Gwen
Paperback
PR Technology, Data and Insights: Igniting a Positive Return on Your Communications Investment
Weiner, Mark
Paperback
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Keng, Wah Loon
Graesser, Laura
Paperback
High Performance Python: Practical Performant Programming for Humans
Gorelick, Micha
Ozsvald, Ian
Paperback
Data Contracts: Developing Production-Grade Pipelines at Scale
Freeman, Mark
Sanderson, Chad
Schmidt, B. E.
Paperback
Head First Algorithms and Data Structures: A Learner's Guide to the Foundations of Computing
Freeman, Eric
Robson, Elisabeth
Paperback
Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code
Mauro, Andrea de
Paperback
Databricks Data Intelligence Platform: Unlocking the Genai Revolution
Yip, Jason
Gupta, Nikhil
Paperback
ML and Generative AI in the Data Lakehouse: Building and Deploying AI Applications at Scale
Haelen, Bennie
Paperback
Data Governance with Unity Catalog on Databricks: Implement Data and AI Governance with Databricks Data Intelligence Platform
Sreekumar, Kiran
Subbarao, Karthik
Paperback
SQL Cookbook: Query Solutions and Techniques for All SQL Users
Molinaro, Anthony
Graaf, Robert de
Paperback
Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib
Johansson, Robert
Paperback
SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance
Fritchey, Grant
Paperback
Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python
Molin, Stefanie
Paperback
Data Analytics & Visualization All-In-One for Dummies
McFedries, Paul
Massaron, Luca
Hyman, Jack A.
Paperback
The Data Center as a Computer: Designing Warehouse-Scale Machines
Barroso, Luiz André
Hölzle, Urs
Ranganathan, Parthasarathy
Hardcover
Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success
Seiner, Robert
Paperback
Kafka for Architects: Event-Driven Architecture, Logs, Microservices, Real-Time Event Processing
Gorshkova, Katya
Paperback
Ai-Ready Data Blueprints: From Raw Data to Ai-Driven Innovation
Pham, Kien
Sopirala, Srikanth
Shukla, Navnit
Paperback
Advanced Snowflake: Processing Data, Developing Applications, and Deploying ML Models at Scale
Ullah, Muhammad Fasih
Paperback
Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Hughes, Jason
Merced, Alex
Shiran, Tomer
Paperback
Learning Statistics with Jamovi: A Tutorial for Beginners in Statistical Analysis
Foxcroft, David
Navarro, Danielle
Paperback
Learning Ransomware Response & Recovery: Stopping Ransomware One Restore at a Time
Preston, W. Curtis
Saylor, Michael
Paperback
Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema
Corr, Lawrence
Stagnitto, Jim
Paperback
Real-Time Intelligence with Microsoft Fabric: Empowering Data-Driven Decisions in the Era of AI
Brattã S. Johan Ludvig
Geisler, Frank
Paperback
iPhone 11 Pro Max Guide: Learn Step-By-Step How To Use Your iPhone Pro Max Step-By-Step
Meyer, Albrecht
Paperback
Fusion Strategy: How Real-Time Data and AI Will Power the Industrial Future
Govindarajan, Vijay
Venkatraman, Venkat
Hardcover
Data Pipelines with Apache Airflow, Second Edition: Orchestration for Data and AI
Geusebroek, Kris
Ruiter, Julian de
Cabral, Ismael
Paperback
Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World, 3rd Edition
Kent, William
Paperback
Building Data Integration Solutions: Unifying Data for Enhanced Decision Making
Borthen, Jay
Paperback
Apache Hudi: The Definitive Guide: Building Robust, Open, and High-Performing Data Lakehouses
Saktheeswaran, Bhavani Sudha
Xu, Shiyan
Wason, Prashant
Paperback
How to Interpret Data: Using Data to Improve Your Influence and Decision-Making
Kelly, Nicholas
Paperback
Apache Polaris: The Definitive Guide: Enriching Apache Iceberg Data Lakehouses with an Open Source Catalog
Shiran, Tomer
Madson, Andrew
Merced, Alex
Paperback
Data Governance Change Management: From Drift to Direction-Why Every Data Leader Needs an ANCHOR
Agrawal, Arvind
Agrawal, Aakriti
Paperback
Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes
Haines, Scott
Lee, Denny
Wentling, Tristen
Paperback
Mastering PostgreSQL 17 - Sixth Edition: Elevate your database skills with advanced deployment, optimization, and security strategies
Schönig, Hans-Jürgen
Paperback
Practical Natural Language Processing: A Comprehensive Guide to Building Real-World Nlp Systems
Vajjala, Sowmya
Majumder, Bodhisattwa
Gupta, Anuj
Paperback
Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
Erickson, Richard a.
Eager, Eric A.
Paperback
PostgreSQL 16 Administration Cookbook: Solve real-world Database Administration challenges with 180+ practical recipes and best practices
Mejías, Boriss
Angelakos, Jimmy
Ciolli, Gianni
Paperback
Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI
Ehrenmueller-Jensen, Markus
Paperback
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Friedman, Jerome
Hastie, Trevor
Tibshirani, Robert
Hardcover
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are
Stephens-Davidowitz, Seth
Paperback
Unlocking Dbt: Design and Deploy Transformations in Your Cloud Data Warehouse
Cyr, Cameron
Dorsey, Dustin
Paperback
The Data Product Playbook: Designing and Delivering Data Products that Power Decisions, Analytics, and AI
Koenders, Willem
Paperback
Big Data in Der Mobilität: Akteure, Geschäftsmodelle Und Nutzenpotenziale Für Die Welt Von Morgen
Gatzert, Nadine
Knorre, Susanne
Müller-Peters, Horst
Paperback
SQL for Data Analytics - Fourth Edition: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
Li, Haibin
Goldwasser, Matt
Shan, Jun
Paperback
Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at Scale
Machado, Rui
Russa, Hélder
Paperback
Learn PostgreSQL - Second Edition: Use, manage and build secure and scalable databases with PostgreSQL 16
Pirozzi, Enrico
Ferrari, Luca
Paperback
Natural Language Processing with Pytorch: Build Intelligent Language Applications Using Deep Learning
McMahan, Brian
Rao, Delip
Paperback
Data Center Critical Facilities Migration from Construction to Operations
K. Tidjani, Yekini
Paperback
A Comprehensive Introduction to Python: From the Basics to Data Analytics: From the Basics to Data Analytics
Masloff, Jackie
Paperback
Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications
Kalavri, Vasiliki
Hueske, Fabian
Paperback
The Expert's Guide to SQL Server: Tuning, Security, and Cloud Migration
Pasam, Venkata Reddy
Andiappan, Petchikumar
Paperback
Architecting an Apache Iceberg Lakehouse: A Scalable, Open-Source Data Platform
Merced, Alex
Paperback
Statistics Every Programmer Needs: Practical Python Implementations and Quantitative Methods
Sutton, Gary
Paperback
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with UNIX Power Tools
Janssens, Jeroen
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Hardcover
R in Action, Third Edition: Data Analysis and Graphics with R and Tidyverse
Kabacoff, Robert I.
Paperback
Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business
Marr, Bernard
Paperback
From Data to Dollars: Getting Started with Data Analytics and AI in Startups
Sidoruk, Piotr
Paperback
SQL in a Week: A Fast-Track Guide to Writing and Optimizing Queries Like a Pro
Shah, Bhumika
Dubey, Devtosh
Paperback
Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness
Lakshmanan, Valliappa
Eryurek, Evren
Gilad, Uri
Paperback
SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
Teate, Renee M. P.
Paperback
Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning
Lakshmanan, Valliappa
Paperback
The Elephant in the Fridge: Guided Steps to Data Vault Success through Building Business-Centered Models
Giles, John
Paperback
The Definitive Guide to Microsoft Fabric: From discovery to building a unified, secure, and scalable data platform
Maneu, Christopher
Beau, Emilie
Riehl, Jean-Pierre
Paperback
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
Crickard, Paul
Paperback