Bootstrapping inspired by Hacking Human Cognition
Akbar Ladak
@bluplaneter
Several applications of Machine Learning are hamstrung by the a vicious cycle.
1. An Inaccurate Model provides poor Results which leads to…
2. Lack of Investment to procure / train more Data, which further leads to…
3. An Inaccurate Model providing poor results.
This vicious cycle can be broken by:
1. Either investing in procuring data and “Turking” the data (usually involves poorly paid, unhappy people) or
2. Hacking Human Cognition
This talk will focus on hacking the process of human cognition to bootstrap more effectively and increasing accuracy of the model without “Turking”.
Outline
Several applications of Machine Learning are hamstrung by the a vicious cycle.
1. An Inaccurate Model provides poor Results which leads to…
2. Lack of investment to procure / train more Data, which further leads to…
3. An inaccurate model providing poor results.
This vicious cycle can be broken by:
1. Either investing in procuring data and “Turking” the data (usually involves poorly paid, unhappy people) or
2. Hacking Human Cognition
This talk will focus on hacking the process of human cognition to bootstrap more effectively and increasing accuracy of the model without “Turking”.
Speaker bio
Akbar Ladak has conceived, developed & deployed multiple Data Analytics technologies for Text Analytics, Image Analytics & Computer Vision.
He is the inventor & erstwhile Head of Business of Wipro Sight an award winning technology for Computer Vision Computer Vision & Sensor Data analysis that provides enterprises real-time insights on critical aspects of their businesses. Backed by 20 patented & patent pending technologies, Wipro Sight has been deployed for leading Retailers, Medical Devices & Financial Services companies.
He is currently the CEO & Founder of Kaaenaat, a company that focuses on understanding our world better using sensor & image analysis.
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