# Readings ## Required Readings | Name | Author(s) | Publisher | Year | | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------- | ------------------- | ---- | | [Rules of Machine Learning](http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf) | Martin Zinkevich | Google | 2020 | | [People + AI Guidebook](https://pair.withgoogle.com/) | People + AI Research (PAIR) | Google | 2020 | | [Designing Great ML Experiences](https://developer.apple.com/videos/play/wwdc2019/803/) | Apple's WWDC 2019 | Apple | 2019 | | [Managing Machine Learning Projects](https://d1.awsstatic.com/whitepapers/aws-managing-ml-projects.pdf) | V.M. Megler | Amazon Web Services | 2019 | | [Everything We Wish We'd Known About Building Data Products](https://firstround.com/review/everything-we-wish-wed-known-about-building-data-products/) | [DJ Patil](https://firstround.com/review/everything-we-wish-wed-known-about-building-data-products/) | First Round | | | [Does AI make strong tech companies stronger?](https://www.ben-evans.com/benedictevans/2018/12/19/does-ai-make-strong-tech-companies-stronger) | Benedict Evans | | 2018 | | [Shipping disruptive ML/AI products at scale (not papers)](https://medium.com/@synthesized/shipping-disruptive-ml-ai-products-at-scale-not-papers-4008c6131f12) | Synthesized | Synthesized | 2020 | | [The Step-By-Step PM Guide to Building Machine Learning Based Products](https://medium.com/@yaelg/product-manager-pm-step-by-step-tutorial-building-machine-learning-products-ffa7817aa8ab) | Yavel Gavish | Medium | 2017 | ## Interesting readings | Name | Author(s) | Publisher | Year | | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------ | --------- | ---- | | [Rise of the Data Product Manager](https://medium.com/@treycausey/rise-of-the-data-product-manager-2fb9961b21d1) | Trey Causey | Medium | 2017 | | [Practical Skills for The AI Product Manager](https://www.oreilly.com/radar/practical-skills-for-the-ai-product-manager/) | Justin Norman, Peter Skomoroch and Mike Loukides | O'Reilly | 2020 | | [What does Machine Learning look like?](https://www.graphcore.ai/posts/what-does-machine-learning-look-like) | Matt Fyles | | | | [What you need to know about product management for AI](https://github.com/ProductizeML/gitbook/blob/master/resources/%20%20https:/www.oreilly.com/radar/what-you-need-to-know-about-product-management-for-ai/README.md) | Peter Skomoroch and Mike Loukides | O'Reilly | 2020 | | [7 Artificial Intelligence Trends and How They Work With Operational Machine Learning](https://blogs.oracle.com/datascience/7-artificial-intelligence-trends-and-how-they-work-with-operational-machine-learning-v2) | Nisha Talagala | Oracle | 2019 | | [Machine Learning Glossary](https://ml-cheatsheet.readthedocs.io/en/latest/index.html) | Brendan Fortuner | | 2020 | --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.productizeml.com/productize-ml/resources/readings.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.