Recently I was having a word with Senior Data Scientist working for a well-funded e-commerce firm about the intuition about the activation functions and is there a generic approach to choose one. I was quite surprise to see the approach used was trial-and-error to do so, see which ones yields better result.

And as early as yesterday I was having interesting interaction with the founder of the Edge Computer Vision Company about how in developing the AI models intuition, formulating the problem statement and street smartness plays an important role. …

Learning forms one of the fundamental building blocks for human’s intelligence and it is no different in the field of Artificial Intelligence.

Dictionary definition of learning is “the acquisition of knowledge or skills through study, experience, or being taught.”

In the field of Artificial Intelligence, conceptually learning improves the knowledge of an AI based system by making observation of its environment.

From a formal stand point of view “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience…

This article is summary of my understanding of GNOSIS whitepaper. Feedback and Comments are most welcome.

With the boom in the internet the availability of data is instant and with lot of subjectivity and sometimes few pushing their own agenda making user more confused. To summarize, “ It is easy to find What People have Said but Hard to ascertain what they Actually Believe” [1]

This is the motivation for GNOSIS, with mission to build a truly impartial exchange for information aggregation to quantify the future.[1]

Basic Philosophy is inspired by the thought that asset prices fully reflect all available information. Speculative market requires effective information gathering without co-ordination and speculation closely reflects the individual mirror belief. The speculator buys when he think he has superior information of a undervalued company and sells when the company is overvalued. The is financial incentive to update the common data point i.e. price point and there is disincentive to misreport in terms of financial loss. Thus share price reflect the market sentiment about the company. In nutshell , in financial ecosystem the information aggregation happens with “Skin In The Game” [1] , a characteristic that:
1. effectively glues an individual’s action to their privately held beliefs and
2. …


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