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Tim Matteson liked Janardhanan PS's blog post Machine Learning at the Edge

Mar 26

Janardhanan PS's blog post was featured

Machine Learning at the Edge

Edge computing moves workloads from centralized locations to remote locations and it can provide faster response from AI applications. Edge computing devices are getting deployed increasingly for monitoring and control of real world processes like people tracking, vehicle recognition, pollution monitoring etc. The data collected at the devices gets transported to centralized cloud servers over data pipelines and are used to train machine learning models. Training models needs lot of…See More

Mar 26

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Tim Matteson liked Janardhanan PS's blog post ACID to BASE Transformation

Mar 20

Janardhanan PS's blog post was featured

ACID to BASE Transformation

In chemistry, we have strong and weak ACIDs. There exists strong and weak BASEs also. In Relational Database Management Systems (RDBMS), ACID stands for Atomicity, Consistency, Isolation and Durability. The volume of ACID transactions handled by RDBMS has undergone a big data transition with the evolution of mobile devices. SQL stands for Structered Query Language, but commonly refers to traditional RDBMS. RDBMS is not designed to be distributed and optimized for space, not for speed of access.…See More

Mar 19

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Tim Matteson liked Janardhanan PS's blog post What are Data Pipelines ?

Mar 16

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What are Data Pipelines ?

If you have learned temporal parallelism used to speed up CPU execution, you came across instruction pipelines aka pipeline processing. In pipeline processing, you will have many instructions in different stages of execution. The term "Data Pipeline" is a misnomer representing a high bandwidth communication channel used for data transportation between a source system and a destination. In certain cases the destination is called a sink. Pipelines by definition allow flow of a fluid automatically…See More

Mar 15

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Tim Matteson liked Janardhanan PS's blog post Overcoming Challenges in Implementation of Successful AI products

Mar 13

Janardhanan PS posted a blog post

Overcoming Challenges in Implementation of Successful AI products

IT professionals acquire AI expertise in a short time by attending couple of online courses. Once the courses are completed successfully, these new gen AI experts look for opportunities to hit problems with the newly acquired AI hammer. It is a challenge to identify problems that need AI for a solution. Majority of the problems seen as an AI problem can be solved easily by traditional statistical methods. But the IT child with new AI hammer in hand thinks that all problems in this world are AI…See More

Mar 13

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Janardhanan PS's blog post was featured

Overcoming Challenges in Implementation of Successful AI products

Mar 12

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Tim Matteson liked Janardhanan PS's blog post What are Data Lakes ?

Mar 5

Janardhanan PS's blog post was featured

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…See More

Mar 5

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Janardhanan PS's blog post was featured

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 that…See More

Mar 1

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Ferkan YILMAZ liked Janardhanan PS's blog post Data Tanks for Incremental Training of Machine Learning Models

Feb 27

Janardhanan PS's blog post was featured

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…See More

Feb 27

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Janardhanan PS updated their profile

Feb 25

Janardhanan PS's blog post was featured

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…See More

Feb 20

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Short Bio: An IT professional with 39 years of experience. Current areas of interest are , Machine Learning Software Development, Big Data processing, NoSQL databases