The AI Playbook: Machine Learning Deployment
The AI Playbook by Eric Siegel sets out a six-step business practice for taking machine-learning projects from conception to deployment. Its semi-technical explanations and case studies are aimed at helping business and data professionals collaborate on project goals, predictions and operational use.
At a glance
- Presents a six-step approach for guiding machine-learning projects from conception to deployment.
- Uses case studies that include UPS and FICO, alongside examples of successful and unsuccessful initiatives.
- Covers collaboration between business and data professionals, including defining predictions and how they inform operations.
Often bought together
Pros and cons
Pros
- The business-oriented framing may help stakeholders connect modelling work with process improvement.
- Customer feedback describes the explanations as clear and accessible without complex technical detail.
Technical specifications
8 specifications| Publisher | MIT Press |
|---|---|
| Publication date | 6 Feb. 2024 |
| Language | English |
| Print length | 248 pages |
| ISBN-10 | 0262048906 |
| ISBN-13 | 978-0262048903 |
| Weight listed | 476 g |
|---|---|
| Dimensions | 16 x 2.2 x 23.5 cm |
Who is it for?
A good fit for
- Business professionals involved in planning or sponsoring machine-learning projects.
- Data professionals seeking a strategic framework for collaborating with business stakeholders.
- Readers looking for an accessible, deployment-focused introduction rather than a highly technical manual.
Less suited to
- Readers seeking a hands-on coding textbook or detailed technical implementation reference.
Customer reviews on Amazon
- 5 stars
67% 67% - 4 stars
16% 16% - 3 stars
10% 10% - 2 stars
3% 3% - 1 star
4% 4%
Customer feedback highlights the book’s clear explanations, practical value and guidance on pitching data-modelling projects for business process improvement. Readers also describe a step-by-step approach to deployment challenges. This may suit stakeholders seeking an accessible business framework, while the available feedback does not establish how much technical depth readers can expect.
Positive themes
- Customer feedback describes the content as valuable and the explanations as clear and accessible.
- Reported strengths include guidance on presenting data-modelling projects for process improvement and a step-by-step deployment approach.
Frequently asked questions
What is The AI Playbook about?
It describes a six-step practice for moving machine-learning projects from conception to deployment, with a focus on business and data teams working together.
Is this a technical machine-learning textbook?
The listing describes semi-technical background and accessible explanations. It is positioned around deployment practice and collaboration, not as a coding manual.
What case studies are mentioned?
The listing cites case studies involving UPS and FICO, as well as examples of successful and unsuccessful initiatives.
