Eugene Yan

SEPTEMBER 16, 2015

Guest post of how DataKind SG worked with NGOs to frame their problems and suggests solutions

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Ines Montani

SEPTEMBER 28, 2015

For four years, I worked for a popular print magazine, developing marketing strategies, selling advertising space and coordinating partnerships. Being a monthly publication, we often jokingly compared it to giving birth once a month: at first you get all excited, then it becomes super hard and you want to die and then all of a sudden it’s over, you’re happy and hold the result in your hands and already forgot about all of the pain.

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Explosion

SEPTEMBER 3, 2015

Natural Language Processing moves fast, so maintaining a good library means constantly throwing things away. Most libraries are failing badly at this, as academics hate to editorialize. This post explains the problem, why it's so damaging, and why I wrote spaCy to do things differently.

Natural Language Processing 40

Natural Language Processing 40

Christian Haschek

SEPTEMBER 21, 2015

In this project I will build a water cooled NAS made from [my 51$ water cooling solution](https:

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Explosion

SEPTEMBER 3, 2015

Natural Language Processing moves fast, so maintaining a good library means constantly throwing things away. Most libraries are failing badly at this, as academics hate to editorialize. This post explains the problem, why it’s so damaging, and why I wrote spaCy to do things differently. Imagine: you try to use Google Translate, but it asks you to first select which model you want.

Natural Language Processing 40

Natural Language Processing Python Deep Learning Deep Learning 40

Christian Haschek

SEPTEMBER 9, 2015

[UPDATE] Test results are in!

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