DataScience SG Meetup - How we got top 3% in Kaggle
Eugene Yan
JUNE 19, 2015
Sharing about my first data science competition at DataScience SG.
Eugene Yan
JUNE 19, 2015
Sharing about my first data science competition at DataScience SG.
Ines Montani
OCTOBER 13, 2015
I hate to admit it, but during my late teenage years and the beginning of my adult life, I massively fell for self-help blogs. I was unhappy, didn’t particularly like myself and had no idea where I would end up one day so I started spending hours on the internet looking for “answers”. (Yeah, this probably sounds familiar.) I was never particularly interested in conventional luxuries - think fancy hotels, designer s**t, glitter and cupcakes - but for a while I believed that this is what I needed
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Explosion
FEBRUARY 18, 2015
spaCy is a new library for text processing in Python and Cython. I wrote it because I think small companies are terrible at natural language processing (NLP). Or rather: small companies are using terrible NLP technology. This post shows the original launch announcement for spaCy , which came with some usage examples and benchmarks. The benchmarks are quite out of date, but I’m pleased to say usage has changed relatively little.
Christian Haschek
JUNE 20, 2015
A few months ago I started going HTTPS for all my sites.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Hacker News
FEBRUARY 10, 2015
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Eugene Yan
SEPTEMBER 16, 2015
Guest post of how DataKind SG worked with NGOs to frame their problems and suggests solutions
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
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.
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.
Explosion
FEBRUARY 18, 2015
Computers don't understand text. This is unfortunate, because that's what the web almost entirely consists of. We want to recommend people text based on other text they liked. We want to shorten text to display it on a mobile screen. We want to aggregate it, link it, filter it, categorise it, generate it and correct it. spaCy provides a library of utility functions that help programmers build such products.
Explosion
FEBRUARY 18, 2015
This post was pushed out in a hurry, immediately after spaCy was released. It explains some of how spaCy is designed and implemented, and provides some quick notes explaining which algorithms were used. The post pre-dates spaCy's named entity recogniser, but it provides some detail about the tokenisation algorithm, general design, and efficiency concerns.
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Explosion
FEBRUARY 18, 2015
The following are some hasty preliminary notes on how spaCy works. The short story is, there are no new killer algorithms. The way that the tokenizer works is novel and a bit neat, and the parser has a new feature set, but otherwise the key algorithms are well known in the recent literature. This post was pushed out in a hurry, immediately after spaCy was released.
Christian Haschek
JUNE 21, 2015
[UPDATE] My web service Proxy Checker is now online!
Christian Haschek
JUNE 26, 2015
A few months ago I started going HTTPS for all my sites. One of the sites I was particularly excited.
Christian Haschek
DECEMBER 26, 2015
Disclaimer: I'm not an electrician and I would not use this proof-of-concept in reallife because
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Christian Haschek
SEPTEMBER 21, 2015
In this project I will build a water cooled NAS made from [my 51$ water cooling solution](https:
Christian Haschek
JANUARY 2, 2015
When I first heard about Chromebooks a few years ago, I thought the Idea is awesome but I didn't
Christian Haschek
NOVEMBER 14, 2015
Hello readers!
Christian Haschek
JULY 4, 2015
In my last post I tested 443 proxies and analyzed how safe
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Christian Haschek
MARCH 16, 2015
Two years ago I made a project where I used a Raspberry Pi
Christian Haschek
NOVEMBER 8, 2015
A few years ago I saw the blooming of new IRC communities.
Christian Haschek
JUNE 4, 2015
This year was a special year for many teachers in Austria.
Christian Haschek
MARCH 28, 2015
I had this broken KÜHLER H2O 620 clos
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Christian Haschek
SEPTEMBER 9, 2015
[UPDATE] Test results are in!
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