Friday, June 3, 2011

My First Post

This is my first blog: So, whats up!, I am a budding Machine Learning Engineer passionate about Machine Learning research and development, and scalable implementations of the challenging machine learning techniques. After completing my graduate studies, I, like many others entering the void called practical life, was searching for my identity. You may think of the 'identity' as a field of profession one could associate with instead of some weird philosophical concept, as my intention is to keep this blog primarily for my experiences in industry. In this blog, I plan to share my ideas about how I feel Machine learning course work should be designed to meet the demands of industry. I also would share my views on the newly emerging paradigm of "Knowledge based economy". I feel this paradigm has great impact on students who want to pursue studies in Electrical Engineering/Computer Science and related disciplines in terms of career paths they can pursue.
So if you are a student, and want to know more about the things I have mentioned above, stay tuned to this blog. The world is a global village, as cliche it may sound, it is really true and especially for people like me who want to learn newly emerging technologies. So I would also share course websites, video lectures etc. which anyone with a sound background in the basics of computer science should be able to follow and learn new skills from the comfort of their homes.
As a start, I would like to share today something fundamental, a great course on Data Structures offered in University of California Berkeley, Data Structures Course at Berkeley , video lectures are available on youtube with assignments and detailed stuff on the course webpage, a great resource for anyone interested in Data Structures.

6 comments:

  1. Great man! Keep it up....but being a theorist, sometimes a thought occurs to me that what is the upper bound of intelligence acquired by a computer?

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  2. as it occurs to me, if knowledge is measured by the rationality of decisions, then computers have outperformed humans in many fields, but the thing is that their dominance does not span all fields of life, thats why the AI paradigm, successful as it is, could not live up to its promises. A clear example is Natural language processing, IBM's latest super computer, Watson, is a great example which is based on learning methods instead of AI based methods, if a machine combines both the learning and AI techniques, then i think they are quite intelligent, much more than humans. But my question from you, you being a great quantum computer specialist, is that can computers, or will they ever be, able to imagine things out of thin air? can we expect a computer to think of the next great quantum computing algorithm?

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  5. I believe that classical computers cannot 'think' because this process is a quantum mechanical process in principle. In my opinion a classical computer cannot come up with a quantum algorithm for it cannot even simulate basic quantum mechanical 'phenomena'. To imbue imagination use 'Chatti Hiss' which can never never modeled by any classical truing machine based computer, therefore may be tried as a problem in quantum computation. However God knows best (GNB)

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  6. I think we two shouldn't be the only two people exchanging ideas. Anyone interested in AI, Machine learning should go ahead and share his/her ideas....Kyu shami sarkar.

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