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Janardhanan PS's Blog – February 2020 Archive (5)

How you can explain Machine Learning models ?

Machine Learning (ML) models are increasingly being used to augment human decision making process in domains such as finance, telecommunication, healthcare, and others. In most of the cases, users do not understand how these models make predictions. The lack of understanding makes it difficult for policy makers to justify their decisions. Most of the ML models are black boxes that do not explain on its own why it reached a specific recommendation or a decision. This forces the users to say…

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Added by Janardhanan PS on February 27, 2020 at 7:00pm — No Comments

Data Tanks for Incremental Training of Machine Learning Models

You are familiar with the term data lake. A data lake is a repository used to store unlimited volume of data. These days, most of the cloud service providers allow us to host scalable data lakes for storing data as it arrives. For using these data lakes, it is not required to structure the data and we can run different types of applications on it. Usually they are applications for big data analytics and machine learning. These applications need entire data to be present in one data lake and… Continue

Added by Janardhanan PS on February 24, 2020 at 7:00pm — 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

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