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Category: architect

June 1, 2019

Battle of ML/DL framework on stand-alone vs. distributed platform

Will steep improvement of algorithm + decrease on hardware cost (CPU, memory, disk) drag the distributed approach irrelevant? IMHO, at this time, the winner…

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June 1, 2019

Dataiku: flexible data science tools

In the previous post, the flexibility given by data science tools greatly reduces the performance, i.e., the execution speed. Fortunately, Dataiku, a data science…

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June 1, 2019

Flexibility vs. Speed

Data science tools such as Rapidminer, Dataiku, and KNIME offer so much flexibility and provide easy-to-understand building blocks that abstract data processing functions. It…

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June 1, 2019

Why do we need a smart home?

This is why a smart home is needed: to understand your home better and communicate with pros on their own language — My dialog…

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June 1, 2019

CPU vs. GPU

Inspired by the benchmark from Matt Dowle (https://h2oai.github.io/db-benchmark/), I compared his benchmark with GPU (Detail: https://lnkd.in/e7iHg7N). For processing big data, GPU K20 2 GB…

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June 1, 2019

Low-powered living body detection

A friend asked me to design a low-powered living body detection system for a rural farm in Indonesia. The constraints are no electricity and…

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June 1, 2019

GPU Database

I think one of the promising technology in the next couple of years is the use of GPU for accelerating any kinds of job….

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June 1, 2019

Mailbox checker

As an online shopper, I need to regularly check my mailbox, 5 floors separated from home. It is really annoying to check whether a…

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June 1, 2019

Syncsort DMX-h & IBM SPSS Modeler

Two other popular data processing platform in the IT world are explored, i.e., DMX-h and SPSS Modeler. 1) DMX-h I was an extensive user…

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June 1, 2019

My first experiment with Zigbee

Instead of buying an expensive and proprietary Zigbee gateway, I bought a Zigbee sniffer that could be “changed” to be a universal gateway (https://lnkd.in/dj9HwBF)….

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