[N] A Look at Google’s Efforts to Earn Public Trust Through ML Fairness and Responsible AI Computer Science |
- [N] A Look at Google’s Efforts to Earn Public Trust Through ML Fairness and Responsible AI
- Is Albert Silberschaltz database management system book a bad book?
- Algorithm Analysis?
- I want to learn about hierachy(inheritance),interface,polymorphism and other object model components concepts.
- I'm looking for a book that offers some kind of comprehensive info on the history/progress of computer science
| [N] A Look at Google’s Efforts to Earn Public Trust Through ML Fairness and Responsible AI Posted: 24 Oct 2020 05:27 PM PDT Tech giants, in response to growing public concerns over AI systems invading privacy and perpetuating racial and gender biases, have in recent years worked to address fairness issues not only in datasets but also in algorithms and model architecture design. In addition to the research efforts to reduce model biases, Google has also implemented a company-wide ML Fairness and Responsible AI ecosystem. "Trust in AI systems is becoming, if not already, the biggest barrier for enterprises — as they start to move from exploring AI or potentially piloting or doing some proof of concept works into deploying AI into a production system," said Tracy Pizzo Frey, director of strategy of Google Cloud AI & Industry Solutions, in an ML Fairness press briefing this week. Here is a quick read: A Look at Google's Efforts to Earn Public Trust Through ML Fairness and Responsible AI [link] [comments] |
| Is Albert Silberschaltz database management system book a bad book? Posted: 25 Oct 2020 01:23 AM PDT I am trying to learn relational calculus from this book and it is taking so much amount of time, and that book is not making me learn anything. I need to watch videos in youtube just in order to understand those words. Is that book really the standard book? Or am I fooling myself by reading from that book? What are some other good books in this topic? [link] [comments] |
| Posted: 24 Oct 2020 08:23 PM PDT I am learning algorithm analysis and I'm confused at the different notations. Option A, the function is a successful upperbound as I can pick a constant that makes it go above the original function? Option B, it is a successful lower bound as I can pick a constant that makes it go below the original function? Option C, I can pick two constants and makes it both an upperbound and a lower bound. Hence the answers A B C are all correct? Am I understanding correctly? Also does anyone have good resources on learning algorithm analysis for a complete newbie? I've watched numerous tutorials on youtube but still not getting a good grasp [link] [comments] |
| Posted: 24 Oct 2020 12:41 PM PDT For Object oriented design/analysis. What are some good resources for it? [link] [comments] |
| Posted: 20 Oct 2020 12:08 PM PDT |
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