Hacker News

FEBRUARY 10, 2015

'We are sorry. This site is optimized for Internet Explorer 9 and above. Please update your browser. We are sorry. This site is optimized for Safari 7 and above. Please update your browser. 4 / 5 Free Articles left Remaining. Register for more. |. Subscribe + Save! Register. Sign In. Sign In. Your cart. Your Shopping Cart is empty. Visit our store. Go to Cart.

Analytics 140

Analytics Analytics 140

Eugene Yan

JUNE 19, 2015

Sharing about my first data science competition at DataScience SG.

Data Science 130

Data Science 130

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.

52

52

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

Advertisement

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

Christian Haschek

JUNE 20, 2015

A few months ago I started going HTTPS for all my sites.

52

52

Eugene Yan

SEPTEMBER 16, 2015

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

100

100

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.

40

40

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.

Algorithm 40

Algorithm 40

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.

Algorithm 40

Algorithm Python Clustering 40

Christian Haschek

JUNE 21, 2015

[UPDATE] My web service Proxy Checker is now online!

52

52

Advertisement

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

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.

40

40

Christian Haschek

DECEMBER 26, 2015

Disclaimer: I'm not an electrician and I would not use this proof-of-concept in reallife because

40

40

Christian Haschek

SEPTEMBER 21, 2015

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

40

40

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

40

40

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Christian Haschek

NOVEMBER 14, 2015

Hello readers!

52

52

Christian Haschek

JULY 4, 2015

In my last post I tested 443 proxies and analyzed how safe

40

40

Christian Haschek

MARCH 16, 2015

Two years ago I made a project where I used a Raspberry Pi

40

40

Christian Haschek

NOVEMBER 8, 2015

A few years ago I saw the blooming of new IRC communities.

40

40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

Christian Haschek

JUNE 4, 2015

This year was a special year for many teachers in Austria.

40

40

Christian Haschek

MARCH 28, 2015

I had this broken KÜHLER H2O 620 clos

40

40

Christian Haschek

SEPTEMBER 9, 2015

[UPDATE] Test results are in!

40

40

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.

Clustering 52

Clustering Natural Language Processing Machine Learning Machine Learning 52

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

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

AWS 52

AWS 52