Mohammad Kaosain Akbar

@kaosain

Fan of Books, Games, Coding and AI.

CanadaJoined September 2024

About

I am a Machine Learning Engineer and Researcher with a passion in coding and teaching machines to think. During my leisure, I enjoy reading thriller books and playing video games. In order to learn something new, I still prefer books over videos. Fun Fact: I have a secret YouTube account where I upload my various travel videos.

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Discussion on latest AI and Software tech and concepts

Mohammad Kaosain Akbar's blogs

Articles by Kaosainkaosain.hashnode.dev3 posts

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Recently published

MKMohammad Kaosain Akbarkaosain.hashnode.devNov 3, 2024 · 9 min read

Understanding ETL and ELT: Core Data Integration Processes in Modern Software Engineering and Machine Learning

In today’s data-driven world, managing data effectively is vital for any organization aiming to make informed decisions and stay competitive. Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) are two fundamental data integration metho...

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MKMohammad Kaosain Akbarkaosain.hashnode.devOct 9, 2024 · 8 min read

Outliers in Machine Learning: How to Identify, Handle, and Leverage Their Impact

Outliers are data points that deviate significantly from the overall pattern of a dataset. In statistics and data analysis, they are often considered anomalies or rare occurrences that fall far outside the range of typical values. While outliers can ...

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MKMohammad Kaosain Akbarkaosain.hashnode.devSep 24, 2024 · 9 min read

Unlocking Energy Efficiency: A Deep Dive into Non-Intrusive Load Monitoring (NILM) from a Canadian Perspective

As the world becomes increasingly focused on sustainability and energy conservation, Canada finds itself at a critical juncture. With vast natural resources, extreme weather conditions, and a growing urban population, energy consumption in the countr...

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Mohammad Kaosain Akbar

About

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Mohammad Kaosain Akbar's blogs

Recently published

Understanding ETL and ELT: Core Data Integration Processes in Modern Software Engineering and Machine Learning

Outliers in Machine Learning: How to Identify, Handle, and Leverage Their Impact

Unlocking Energy Efficiency: A Deep Dive into Non-Intrusive Load Monitoring (NILM) from a Canadian Perspective

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Mohammad Kaosain Akbar

About

Available for

Mohammad Kaosain Akbar's blogs

Recently published

Understanding ETL and ELT: Core Data Integration Processes in Modern Software Engineering and Machine Learning

Outliers in Machine Learning: How to Identify, Handle, and Leverage Their Impact

Unlocking Energy Efficiency: A Deep Dive into Non-Intrusive Load Monitoring (NILM) from a Canadian Perspective