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Janardhanan PS's Blog Posts Tagged 'Machine' (5)

What are Data Lakes ?

Some of you are highly organized, disciplined, and keep all your belongings arranged in an ordered manner. You can easily remember the location of all these items and will be able to fetch them in a short time. But there are people who are highly unorganized and keeps all their belongings in a random manner and will have no clue on where to look for an item when they really need it. This results in a search operation on all storage spaces in the house when they want to fetch an item. There is… Continue

Added by Janardhanan PS on March 2, 2020 at 9:37pm — No Comments

Ability to generalize - A measure of intelligence ?

Knowledge acquisition is about building generalization capabilities. In machine learning world, generalization refer to the model's ability to make accurate predictions from never before seen data. Well generalized models possess intelligence to work on data from new scenarios. This is true for human intelligence also. Children start learning from examples and initially they fail to respond properly to unforeseen situations. Gradually they acquire generalization skills to respond to all… Continue

Added by Janardhanan PS on February 16, 2020 at 9:02pm — No Comments

Overcoming surprises faced by Programmers migrating to Machine learning projects

Traditional programmers hit a stone-wall when they start working on Machine Learning (ML) development projects. They were used to coding based on design derived from requirements, logic/rules and when they move into a new paradigm in which rules are automatically generated from data, they are surprised. In ML paradigm, we do not find any output code and we see an output in the form of a binary object called model that goes into production. You may be wondering without measuring lines of code,… Continue

Added by Janardhanan PS on February 10, 2020 at 7:14pm — No Comments

Human Learning and Machine Learning - How they differ ?

Is there any similarity in learning process between humans and machines. Human learning process varies from person to person. Once a learning process is set into the minds of people, it is difficult to change it. But, in Machine Learning (ML), it is easy to change the learning method by selecting a different algorithm. In ML, we have well defined processes to understand and estimate the accuracy in learning. Estimation of human learning is usually done through examinations and it cannot be… Continue

Added by Janardhanan PS on February 4, 2020 at 8:43pm — No Comments

Does "All models are wrong, but some are useful" quote apply to Machine learning models?

Models are simplification or approximation of reality and hence they will not capture all of reality. “All models are wrong, but some are useful” is a famous quote by George Edward Pelham Box (1919–2013). George Box was a British mathematician and professor of statistics at the University of Wisconsin. Statisticians develop theoretical models to predict the behaviour of certain process. The meaning of this quote is that every single model will be wrong and it never represents the exact…

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Added by Janardhanan PS on January 20, 2020 at 11:30pm — 1 Comment

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