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Machine Learning


Using an algorithm — Is it good enough for your predictions?

(Part -1 Linear Regression Implementation)

In the last post, I mentioned two terms Prediction and Statistical Inference following a simple example. I also mentioned when…


IBM Think 2018 Highlights for Developers

Last week IBM hosted the Think 2018 conference in Las Vegas which is IBM’s flagship conference that combines previous conferences like InterConnect and World of Watson. Below is a list of announcements and news that I, as a developer, like most.


Why we worry about the Ethics of Machine Intelligence

This essay was co-authored by Steve Mills and Jared Sylvester.

We worry about the ethics of Machine Intelligence (MI) and we fear our community is completely unprepared for the power we now wield. Let us tell…


[번역] 머신러닝을 사용해서 빅데이터의 잠재력 활용하기

본 글은 Using Machine Learning to Leverage the Potential of Big Data for Business을 번역한 글입니다

빅데이터와 머신러닝의 융합은 미래의 비즈니스위해 분석 측면에서 가장 중요하게 개발해야 할 것중 하나이다. 오늘날, 이전보다 더욱더, 대용량의 데이터와 데이터 소스는 머신러닝의 잠재력을 폭발시키고, 수십년간 데이터의 한계로 인해 하지 못했던 것을 가능하게 만들었다.


Heartbeat Newsletter — Vol. 19

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