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June 1, 2019

Book review: Weapons of math destruction

Another book with controversial ideas: instead of attaining the purpose of the objectives as intended, big data algorithms turn out to be a “destructive…

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June 1, 2019

Use of CDRs to investigate disease spread

Dealing with call detail records generated by mobile telecom (i.e., Base Subscriber Subsystem, Mobile Switching Center, and Billing System) was my job during 2005-2010….

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June 1, 2019

Deep learning inference on android phone

The demo that you’ll always see at any AI/IoT expo/exhibition!The difference is that I’m using my Android instead of a PC or a development…

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June 1, 2019

Tensorframes: Tensorflow + Spark

Combining data-intensive best solution (apache spark) and compute-intensive best approach (Tensorflow with GPU) results in Tensorframes. The speedup is remarkable. Hopefully, I could get…

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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

Google Cloud Speech API

Very often I need to verify whether a video containing certain keywords that I am looking for. That is very difficult to be done…

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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

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

Google Colab vs. Microsoft Azure notebook

Although I knew this service for a while, I just recently put attention on 2 “serverless” notebook services on the cloud: Google Colab and…

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June 1, 2019

Google Cloud Vision API to detect vehicle plate number

This is why every organization engages artificial intelligence & machine learning. Once they have an “extensively trained” model that has a very good performance,…

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  • Google BigQuery, a serverless Datawarehouse-as-a-Service to batch query huge datasets (Part 1) - .:: Data Sains Lab ::. on Google BigQuery, a serverless Datawarehouse-as-a-Service to batch query huge datasets (Part 2)
  • Google BigQuery, a serverless Datawarehouse-as-a-Service to batch query huge datasets (Part 2) - .:: Data Sains Lab ::. on Be cautious to include legacy resources as part of the big data system
  • Apache Hadoop: What is that & how to install and use it? (Part 1) - .:: Data Sains Lab ::. on Apache Hadoop: What is that & how to install and use it? (Part 2)
  • Apache Hadoop: What is that & how to install and use it? (Part 1) - .:: Data Sains Lab ::. on Why we need a big data platform such as Hadoop & Spark?
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