Is it even feasible to quantify the importance of data and representations that are visual?
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Is it even feasible to quantify the importance of data and representations that are visual?
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- 1. Give your descriptions on two real-world applications of pattern recognition techniques. Furthermore, based on your own understanding, for each application please explain: i) What are the domain knowledge which we could utilize to facilitate the pattern recognition process; ii) In case of making incorrect decisions, do they have equal cost or unequal cost?Is it fair to argue that in this day and age of machine learning, algorithms and data structures no longer serve a purpose or have any practical application?Give specific justifications for why a certain model of machine learning is superior to others currently available.
- Is it true that algorithms and data structures are no longer utilized in this day and age of machine learning?Is it accurate to say that in the age of machine learning, algorithms and data structures are no longer used?How do recent approaches to “embodied interaction” differ from earlier accounts of the role of cognition in human-computer interaction?
- How was telephone interface technology designed in early 1900's to suit the process being undertaken using the technology available at the time? Was there any evidence that an attempt was made to understand how human cognition and behaviour might influence the design of that technology?To prove that you understand the difference between physical and schematic representations, please offer examples of both.Many of the computational models of cognitive activities that have been proposed involve quite complex mathematical operations, such as convolving an image with a Gaussian or finding a minimum of the entropy function. Most humans (and certainly all animals) never learn this kind of mathematics at all, almost no one learns it before college, and almost no one can compute the convolution of a function with a Gaussian in their head. What sense does it make to say that the “vision system” is doing this kind of mathematics, whereas the actual person has no idea how to do it?
- Is it conceivable that algorithms and data structures may become outdated in machine learning?Is it true that Data Structures and Algorithms are obsolete in the era of Machine Learning? and what is their relationship?In the age of Machine Learning, data structures and algorithms have been judged antiquated and outmoded in their use.