ML, Photos, Books, Food
San Francisco, CA
Joined October 2011
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Anand Rajagopal retweeted
“You can write devastatingly effective docs: the gift of clarity
The Minto Pyramid: amazon.co.uk/dp/1292372265/r…
SCQA
- Situation
- Complication
- Question
- Answer (key takeaway)
Pyramid:
- Answer
- 3 Key Points
- ~9 Data Points”
@andrewhao #LeadDevSanFrancisco
Anand Rajagopal retweeted
Learn techniques for increasing your efficiency and improving collaboration on markups and feedback in this upcoming #AU2021 presentation by Victoria McKinnon (@ToriFryMcKinnon), Anand Rajagopal (@AndATwit), Steve Berkeley, and John Beltran. autode.sk/2ZptaRC
Anand Rajagopal retweeted
My goodness. China's cyberspace watchdog, the CAC, just published a long (and unprecedented) set of draft regulations for recommendation algorithms. The short version: they will be tightly controlled. Key points below. 1/ cac.gov.cn/2021-08/27/c_1631…
“Lacking a customer, then the loudest voice or the highest pay grade decides what people should work on.” fastcompany.com/90591035/jef…
A great talk from @alexpalladini where he presented a set of design guidelines to consider when blending ml driven features within an existing product. #OReillyAI
#ResponsibleAI seems the defacto theme for this year's keynotes at #TheAIConf. Apart from adding diversity to you dev team, a robust process and a prolonged testing, a call to action to measure softer aspects like fairness & increasing your accountability of the models you build.
"Building more ethical AI models is more than compliance to a set of standards, but is a mindset" #OReillyAI
A friend started her own little clothing brand where she's sourcing handcrafted sarees from across India. Currently selling it via Instagram, take a look! instagram.com/nerige.story?i…
Awesome to see your work get written up!
The Amazing Ways Artificial Intelligence (AI) Can Now Detect Dangers At Work via @forbes forbes.com/sites/bernardmarr…
Wrapping up the day at #theaiconf with a talk by @FullStackML describing fundamental changes between traditional software engineering and machine learning dev process and why we need different tools and processes.
"Consider framing projects as augmenting humans instead of replacing them." @hmason at #TheAIConf
Restructuring the problem to use AI to augment radiologists instead of replacing them. #clap The team at AISINAI used DL to identify hemorrhage in brain CTs and then prioritize the cases that the radiologists need to review #TheAIConf
In a talk by two doctors from AISINAI at #theaiconf They apply/study AI to improve medicine aisinai.org/ it's been interesting how the NY edition has had more talks of AI to traditionally tech fields, esp. medicine, as compared to the one in SF.
"Weakly supervised object detection is not classification" #theAIConf I think this is a really important point. You cannot throw a resnet at an x-ray and hope to get good results. The importance of domain expertise and labelling cannot be downplayed.
