Learning and Reasoning are two essential abilities associated with intelligence. As humans we see a scene, we hear a sentence and we just know what they mean. We can learn and we can take decisions based on reasoning. Bringing this capability to machine is a challenging task. The efforts have been in achieving the same… Continue reading Machine Learning to Machine Reasoning
Though there has been significant amount of research and development in the field of machine learning, every new experiment needs something new off the shelf. Developing successful machine learning applications requires a substantial amount of ‘black art’ that is difficult to find in any of the textbooks. Machine learning has three major components: Representation –… Continue reading Machine Learning – Know Hows
The Process Machine solving should not be like a magic making process. Along with result, it is equally important to know the process by which the results were obtained. The thinking process of the machine must be like the way we humans do. The way humans have patterns in their thoughts, it should be embedded… Continue reading Human Problem Solving
This post only covers the definition explanation of ‘mean centering’. Let us understand through an example. Let us consider a set A = {10, 20, 30, 40, 50} The mean of this set is: (10 + 20 + 30 + 40 + 50) / 5 = 150 / 5 … Continue reading Mean Centering
We come across equality and inequality in our day today life in various means. However, one needs to understand the very basic interpretation of it. This post puts that out. When we solve equality we get a value answer. For example: If given is: x + 10 = 20 Then, x = 20 – 10 x… Continue reading Equality and Inequality
The original dream of web was to link anything object on the web with ease and same way. It came with challenges of having common data formats, languages for the web and digital signatures to make it all happen. There was a major challenge of maintaining the equilibrium between people and information. Web has to… Continue reading Potentially, The Web
This post presents the key points (As I see it) from the article “50 Years of Data Science” written by David Donoho, Sept 18, 2015. Version 1.00. Research in data science is moving to a meta-level, where we can ask a question like: If we use such-and-such a method across all of science, how much… Continue reading Data Science – Till Date
Since the birth of web it has always demanded technologies that make sense. When web was instantiated – rendering, transfer of documents and data was the key challenge. Web grew as a network and it was not understood the same way by everyone. It grew with plethora of information, products and services, readily discover-able… Continue reading Web to Web Science
Cromwell’s states that the use of prior probabilities of 0 (“the event will definitely not occur”) or 1 (“the event will definitely occur”) should be avoided, except when applied to statements that are logically true or false. As stated in referred documents and popularly cited, In 1650, after the Scots proclaimed Charles II as king during the… Continue reading Cromwell and the Probabilities
Decades ago the concept of web seemed like an un-realizable dream, more like a science fiction movie concept. Today, with a realized web, so looks the realization of an intelligent semantic web. The statement of ‘people doing the creative work and web doing the administration and management work’ can be respectfully discarded. Web is growing… Continue reading Social Machines
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