Data Science

This is data science blog tag written by data scientist in MTI Technology AI Lab.

Introduction to Healthcare Data Science

Introduction to Healthcare Data Science (Overview) Healthcare analytics is the collection and analysis of data in the healthcare field to study determinants of disease in human populations, identify and mitigate risk by predicting outcomes. This post introduces  some common epidemiological study designs and an overview of the modern healthcare data analytics process. Types of Epidemiologic …

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Implementation for Adversarially Constrained Autoencoder Interpolation (ACAI)

Introduction Autoencoders provide a powerful framework for learning compressed representations by encoding all of the information needed to reconstruct a data point in a latent code. In some cases, autoencoders can “interpolate”: By decoding the convex combination of the latent codes for two data points, the autoencoder can produce an output that semantically mixes characteristics …

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Pytorch part 1: Introducing Pytorch

Pytorch is a deep learning framework and a scientific computing package The scientific computing aspect of PyTorch’s is primarily a result PyTorch’s tensor library and associated tensor operations. That means you can take advantage of Pytorch for many computing tasks, thanks to its supporting tensor operation, without touching deep learning modules. Important to note that …

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[AI Lab] Hiring Data Scientist

If you want to join in exciting and challenging projects, MTI Tech could be the next destination for your career. Contact Please contact below mail. recruitment@mti-tech.vn MTI Technology specializes in creating smart mobile contents and services that transform and transcend customers’ lives. We design and develop our products using agile methods bringing the best deliverable …

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Bias in Data Science – the Good, the Bad and the Avoidable !?

In recent years, there have been a few prominent examples of accidental bias in machine-learning applications, such as smartphones’ beauty filters (that essentially ended up whitening skin) [1] or Microsoft’s from-innocent-teen-to-racist-in-24-hours chatbot [2,3]. Examples such as these fell victim to inherently biased data being fed into algorithms too complex to allow for much transparency. Hidden bias continues …

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Binomial Theorem

Can you expand on ? I guess you would find that is quite easy to do. You can easily find that . How about the expansion of . It is no longer easy. It is no longer easy, isn’t it. However, if we use Binomial Theorem, this expansion becomes an easy problem. Binomial Theorem is a very intriguing topic …

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