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Syed Danish Ali
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Latest Activity

Darrel Dent liked Syed Danish Ali's blog post Sweet and Short Introduction to Complexity Science
Oct 17, 2016
Ahsan Iftikhar Qureshi liked Syed Danish Ali's profile
Oct 4, 2016
Sankaran Iyer liked Syed Danish Ali's blog post Guide to Deep Learning
Sep 3, 2016
Roxana Noelia liked Syed Danish Ali's blog post Key tools of Big Data for Transformation: Review & Case Study
Aug 5, 2016
Sione Palu commented on Syed Danish Ali's blog post On-going Developments and Outlook for Deep Learning
"Any tips for your readers on why they should use Deep Learning? What's the advantage for them?"
Aug 3, 2016
Sione Palu commented on Syed Danish Ali's blog post On-going Developments and Outlook for Deep Learning
"What's the main advantage of deep-learning again? What can it do that other techniques can't? If you can answer that very simple question, then I'm ready to jump & use deep-learning but I haven't been convinced that it brings…"
Aug 2, 2016
Syed Danish Ali's 2 blog posts were featured
Jul 30, 2016
Syed Danish Ali posted a blog post

Inspiring Imagination In Data Science: Qualitative Profiling

Overview“The only function of economic forecasting is to make astrology look respectable” John Kenneth GalbraithPredictive modeling and traditional ratemaking is an exercise of forecasting the future, whether directly or indirectly (indirectly as generalizing historical lessons to the future). But is such forecasting so hopeless as being same as seeing into a crystal ball?The advantage of data scientist and actuaries is their close in contact with other business professionals. That means…See More
Jul 30, 2016
John Sobiranski liked Syed Danish Ali's blog post On-going Developments and Outlook for Deep Learning
Jul 29, 2016
Lars Schwabe commented on Syed Danish Ali's blog post Limitations of Deep Learning and strategic observations
"I agree with Sione Palu: Not much new here. It seems a fashion to emphasize that "we dont understand DL". Just as a matter of fact: Even though we have, thx to Vapnik, a sound theoretical basis for Machine Learning, in every day work this…"
Jul 25, 2016
Antony Van der Mude commented on Syed Danish Ali's blog post Limitations of Deep Learning and strategic observations
"That quote from Aristotle - I can't seem to find it in his Collected Works. I am using the Ross translation. Can you tell me which book you took that from? Thanks."
Jul 23, 2016
Sione Palu commented on Syed Danish Ali's blog post Limitations of Deep Learning and strategic observations
"Why, why, why, re-stating the obvious? Deep learning has limitations? Algorithm development & invention is and has always been a moving target since the beginning of time. We all know that what is state-of-the-art today will be obsolete…"
Jul 22, 2016
Syed Danish Ali's blog post was featured

Limitations of Deep Learning and strategic observations

While Deep Learning has shown itself to be very powerful in applications, the underlying theory and mathematics behind it remains obscure and vague. Deep Learning works, but theoretically we do not understand much why it works. Some leading machine learning theorists like Vladimir Vapnik criticise Deep Learning for its ad-hoc approach that gives a strong flavour of brute force rather than technical sophistication. Deep Learning is not theory intensive; it is empirical based more (hence causing…See More
Jul 22, 2016
Syed Danish Ali posted a blog post

Limitations of Deep Learning and strategic observations

While Deep Learning has shown itself to be very powerful in applications, the underlying theory and mathematics behind it remains obscure and vague. Deep Learning works, but theoretically we do not understand much why it works. Some leading machine learning theorists like Vladimir Vapnik criticise Deep Learning for its ad-hoc approach that gives a strong flavour of brute force rather than technical sophistication. Deep Learning is not theory intensive; it is empirical based more (hence causing…See More
Jul 22, 2016
Sione Palu commented on Syed Danish Ali's blog post Shakespeare and Fuzzy Logic
"Mamdani inference fuzzy system would be appropriate for actuarial modelling otherwise use ANFIS (adaptive neuro-fuzzy inference system) which is sugeno type inference system for automatic rule discovery.  ANFIS is a hybrid of fuzzy logic…"
Jul 12, 2016
Syed Danish Ali's blog post was featured

Shakespeare and Fuzzy Logic

Shakespeare and Fuzzy Logic[1]There are more things in heaven and earth, Horatio, than are dreamt of in your philosophy. - Hamlet (1.5.167-8), Hamlet to Horatio[2]Shakespeare teaches us in this Hamlet quote that reality is much more complex than our mental projections and understanding. Reality is fuzzier than we would care to think. Although introducing subjectivities to modeling seems to harm the ‘objectivity’ for the purists, this objectivity is more of a…See More
Jul 12, 2016

Profile Information

Field of Expertise
Data Science
Professional Status
Consultant
Years of Experience:
5
Your Company:
SIR actuarial consultantss
Industry:
Insurance
Your Job Title:
Senior Consultant
Interests:
Finding a new position, New venture

Syed Danish Ali's Blog

On-going Developments and Outlook for Deep Learning

Posted on July 26, 2016 at 5:00am 2 Comments

Overview

There are huge numbers of variants of deep architectures as it’s a fast developing field and so it helps to mention other leading algorithms. The list is intended to be comprehensive but not exhaustive since so many algorithms are being developed [1] [2][1],[2].

  1. Deep High-order Neural Network with Structured Output (HNNSO).
  2. Deep convex network.
  3. Spectral networks
  4. noBackTrack algorithm to solve the…
Continue

Limitations of Deep Learning and strategic observations

Posted on July 20, 2016 at 5:00am 3 Comments

While Deep Learning has shown itself to be very powerful in applications, the underlying theory and mathematics behind it remains obscure and vague. Deep Learning works, but theoretically we do not understand much why it works. Some leading machine learning theorists like Vladimir Vapnik criticise Deep Learning for its ad-hoc approach that gives a strong flavour of brute force rather than technical sophistication. Deep Learning is not theory intensive; it is empirical based more (hence…

Continue

Applications of Deep Learning

Posted on June 26, 2016 at 5:00am 0 Comments

This post highlights a number of important applications found for deep learning so far. It is well known that 80% of data is unstructured. Unstructured data is the messy stuff every quantitative analyst tries to traditionally stay away from. It can include images of accidents, text notes of loss adjusters, social media comments, claim documents and review of medical doctors etc. Unstructured data has massive potential but has never been traditionally considered as a source of insight before.…

Continue

Inspiring Imagination In Data Science: Qualitative Profiling

Posted on June 20, 2016 at 2:30am 0 Comments

Overview

“The only function of economic forecasting is to make astrology look respectable John Kenneth Galbraith

Predictive modeling and traditional ratemaking is an exercise of forecasting the future, whether directly or indirectly (indirectly as generalizing historical lessons to the future). But is such forecasting so hopeless as being same as seeing into a crystal ball?

The advantage of data scientist and actuaries is their close in contact with…

Continue

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