Managing Machine Learning Projects

Managing Machine Learning Projects
Author :
Publisher : Simon and Schuster
Total Pages : 270
Release :
ISBN-10 : 9781638352068
ISBN-13 : 1638352062
Rating : 4/5 (062 Downloads)

Book Synopsis Managing Machine Learning Projects by : Simon Thompson

Download or read book Managing Machine Learning Projects written by Simon Thompson and published by Simon and Schuster. This book was released on 2023-07-25 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guide machine learning projects from design to production with the techniques in this unique project management guide. No ML skills required! In Managing Machine Learning Projects you’ll learn essential machine learning project management techniques, including: Understanding an ML project’s requirements Setting up the infrastructure for the project and resourcing a team Working with clients and other stakeholders Dealing with data resources and bringing them into the project for use Handling the lifecycle of models in the project Managing the application of ML algorithms Evaluating the performance of algorithms and models Making decisions about which models to adopt for delivery Taking models through development and testing Integrating models with production systems to create effective applications Steps and behaviors for managing the ethical implications of ML technology Managing Machine Learning Projects is an end-to-end guide for delivering machine learning applications on time and under budget. It lays out tools, approaches, and processes designed to handle the unique challenges of machine learning project management. You’ll follow an in-depth case study through a series of sprints and see how to put each technique into practice. The book’s strong consideration to data privacy, and community impact ensure your projects are ethical, compliant with global legislation, and avoid being exposed to failure from bias and other issues. About the Technology Ferrying machine learning projects to production often feels like navigating uncharted waters. From accounting for large data resources to tracking and evaluating multiple models, machine learning technology has radically different requirements than traditional software. Never fear! This book lays out the unique practices you’ll need to ensure your projects succeed. About the Book Managing Machine Learning Projects is an amazing source of battle-tested techniques for effective delivery of real-life machine learning solutions. The book is laid out across a series of sprints that take you from a project proposal all the way to deployment into production. You’ll learn how to plan essential infrastructure, coordinate experimentation, protect sensitive data, and reliably measure model performance. Many ML projects fail to create real value—read this book to make sure your project is a success. What's Inside Set up infrastructure and resource a team Bring data resources into a project Accurately estimate time and effort Evaluate which models to adopt for delivery Integrate models into effective applications About the Reader For anyone interested in better management of machine learning projects. No technical skills required. About the Author Simon Thompson has spent 25 years developing AI systems to create applications for use in telecoms, customer service, manufacturing and capital markets. He led the AI research program at BT Labs in the UK, and is now the Head of Data Science at GFT Technologies. Table of Contents 1 Introduction: Delivering machine learning projects is hard; let’s do it better 2 Pre-project: From opportunity to requirements 3 Pre-project: From requirements to proposal 4 Getting started 5 Diving into the problem 6 EDA, ethics, and baseline evaluations 7 Making useful models with ML 8 Testing and selection 9 Sprint 3: system building and production 10 Post project (sprint O)


Managing Machine Learning Projects Related Books

Managing Machine Learning Projects
Language: en
Pages: 270
Authors: Simon Thompson
Categories: Computers
Type: BOOK - Published: 2023-07-25 - Publisher: Simon and Schuster

GET EBOOK

Guide machine learning projects from design to production with the techniques in this unique project management guide. No ML skills required! In Managing Machin
Machine Learning Bookcamp
Language: en
Pages: 470
Authors: Alexey Grigorev
Categories: Computers
Type: BOOK - Published: 2021-11-23 - Publisher: Simon and Schuster

GET EBOOK

The only way to learn is to practice! In Machine Learning Bookcamp, you''ll create and deploy Python-based machine learning models for a variety of increasingly
Applying Artificial Intelligence in Project Management
Language: en
Pages: 318
Authors: Paul Boudreau
Categories: Business & Economics
Type: BOOK - Published: 2024-10-10 - Publisher: Stylus Publishing, LLC

GET EBOOK

This book describes the AI tools in concept and how they apply directly to project success. It also demonstrates the strategy and methods used to purchase and i
Building Machine Learning Powered Applications
Language: en
Pages: 243
Authors: Emmanuel Ameisen
Categories: Computers
Type: BOOK - Published: 2020-01-21 - Publisher: "O'Reilly Media, Inc."

GET EBOOK

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build
Python Machine Learning Projects
Language: en
Pages: 152
Authors: Lisa Tagliaferri
Categories: Computers
Type: BOOK - Published: 2019-05-02 - Publisher: DigitalOcean

GET EBOOK

As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions — sometimes without final input from humans who may be im