Real World AI: A Practical Guide for Responsible Machine Learning

Real World AI: A Practical Guide for Responsible Machine Learning

  • Downloads：5751
  • Type：Epub+TxT+PDF+Mobi
  • Create Date：2021-04-24 12:51:25
  • Update Date：2025-09-06
  • Status：finish
  • Author：Alyssa Simpson Rochwerger
  • ISBN：1544518838
  • Environment：PC/Android/iPhone/iPad/Kindle
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Summary

How can you successfully deploy AI？




When AI works， it's nothing short of brilliant， helping companies make or save tremendous amounts of money while delighting customers on an unprecedented scale。 When it fails， the results can be devastating。




Most AI models never make it out of testing， but those failures aren't random。 This practical guide to deploying AI lays out a human-first， responsible approach that has seen more than three times the success rate when compared to the industry average。




In Real World AI， Alyssa Simpson Rochwerger and Wilson Pang share dozens of AI stories from startups and global enterprises alike featuring personal experiences from people who have worked on global AI deployments that impact billions of people every day。



AI for business doesn't have to be overwhelming。 Real World AI uses plain language to walk you through an AI approach that you can feel confident about-for your business and for your customers。





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Reviews

Mike Hales ，

Very practical advice Great to get a basic understanding and good pointers on pitfalls to avoid， will worth the money。 If you're starting on a project be sure to read first。 Very practical advice Great to get a basic understanding and good pointers on pitfalls to avoid， will worth the money。 If you're starting on a project be sure to read first。 。。。more

Perry PhD ，

Real World AI does an excellent job with helping us to think about responsible uses of data。 Presented with clarity and a path forward to achieve ethical outcomes， Alyssa does an amazing job here and with prose that is both enlightening and inspiring。Perry Beaumont

Alan ，

I enjoyed this book。 It describes risks of deploying AI in the real world across many categories: ethics， technical， precision and recall， working with data scientists， keeping business focus， etc。 I recognized many of the example from news accounts。 Good recommendations about how to mitigate these risks。 Unfortunately no equations。 Fortunately no time devoted to AI taking over the planet。 See Max Tegmark’s great book of you want to go there。

Linda ，

I really enjoyed this book。 It contains a great mix of stories of successes and mistakes for the reader to learn from。 I was particularly interested in ethics and AI， which was discussed in both theory and practice。 It teased out how race and gender bias can get built into machine learning and I think there is great opportunity for the social sciences here to demonstrate the bias in our everyday information - look what happens when we send a machine out to read it and reflect back to us what our I really enjoyed this book。 It contains a great mix of stories of successes and mistakes for the reader to learn from。 I was particularly interested in ethics and AI， which was discussed in both theory and practice。 It teased out how race and gender bias can get built into machine learning and I think there is great opportunity for the social sciences here to demonstrate the bias in our everyday information - look what happens when we send a machine out to read it and reflect back to us what our public discourse said！ the technique of having to actively build instructions for machines to counter racism and sexism could also provide some useful insight into how to tackle these issues more broadly。 The other ethical area I'm interested in is the repetitive low skilled jobs that will be and are being lost due to AI。 How do we find new ways to access a living for people who don't have the skills to compete in the new job market？ This book did not set out to answer this question， and does not， but I'm still interested in it。 Overall the explanations and examples helped me to think through where are the best places in my organisation for AI to help us solve problems。 I particularly liked the worksheets and links to further resources。 There is a lot of focus on how to get started， but also what is needed for success and how to manage processes as you get further down the AI path。It is refreshing to have a book that is approachable for non-data scientists about how to work with AI。 。。。more

Reference

google book https://www.google.com/search?tbm=bks&q=Real World AI: A Practical Guide for Responsible Machine Learning

hathitrust digital library https://babel.hathitrust.org/cgi/ls?q1=Real World AI: A Practical Guide for Responsible Machine Learning&field1=ocr&a=srchls&ft=ft&lmt=ft

The British Library https://bll01.primo.exlibrisgroup.com/discovery/search?query=any,contains,Real World AI: A Practical Guide for Responsible Machine Learning&tab=LibraryCatalog&search_scope=Not_BL_Suppress&vid=44BL_INST:BLL01&lang=en&offset=0