Unhackathon #11 roundup

You may wonder what Hong Kong’s most wanted has to do with data science, well at our December Unhackathon we showed how the HK most wanted list can be turned from a website into a usable dataset.

December’s Unhackathon aimed to tackle the basics of scraping, introduced a new dataset of Asia’s infrastructure projects and made further exploration of the human genome, namely looking for parts of the genome which do not have known relevance to physical conditions.

To kick off our morning of industry talks, DSHK co-organiser Guy Freeman built a working webscraper in 20 minutes while talking us through the process.

You can see the video of his presentation below.

His talk sparked a lot of interest among our guests, many of whom then committed the rest of the afternoon to investigating scraping practices.

DSHK regular Daniil and DSHK co-organiser Xavier aimed to develop new techniques to evade measures that block scraping attempts. Daniil had been attempting to scrape the AngelList website but was having difficulties managing his script’s efficiency. You can see his presentation below.

See the slides here: Scraping Angel.co

DSHK co-organiser Robert Porsch set the task of looking through a public dataset of the human genome association statistics. Watch his presentation below on his project which looked for any localised genetic correlations between depression and schizophrenia.

You can follow along with Robert’s slides at this link: DS HK genomics (hackathon #11)

We have now switched to holding our events on the first Sunday of the month, with the exception of January when we will not hold an event. Please join us again on February 3 at Times Square, Tower 1, 20/F. Drinks will be provided.

 

 

Un-hackathon #10

Our 10th Hackathon for Data Science: a full day of fun and working together on YOUR data science projects!

At this event attendees will have the chance to pitch their projects, or join other people’s. And in the beginning of the day we will host some fantastic industry specialists to share their experiences operating in the data science field.

Signup at: Eventbrite, Meetup, Facebook

The event will be held at the South China Morning Post offices at Times Square

 

Schedule of events:

9.30am – Arrive, registration
10am – Welcome
10.15am – Talks begin
11.30am – Pitch session, recruitment
12pm – Work on projects
5.30 pm – Present results of work session

Location:

SCMP: 20/f, Tower 1, Times Square, 1 Matheson St, Causeway Bay

Requirements:

Laptop / charger for those joining the coding
Prepared data, and projects pitches for the ones submitting projects
If presenting, send us your presentation slides ahead of time so we can prepare them.
50HKD in cash for the space rental

Recommendations for project submissions:

Send us your presentation slides! Drop a link to one of the organisers on Slack or another way. We want to minimise time spent switching laptops so we will run your slides from our pc.
Prepare data in advance as much as you can; spending the day cleaning or retrieving data won’t gather crowds of DS! Contact organisers if you need a data repository to share data with all your team members.
If the project is already underway, prepare an introduction to it so that people can join. If you’re presenting slides, send them to us before you arrive, make sure the task you propose is feasible during the time of the event, and describe the skills you expect your team to have: R or Python? AWS, Spark? etc.

For final presentations:

Start writing the final presentation right from the start and add elements little-by-little all day long. Articulate the reason you want to do the project, and the solution. Make it understandable to everyone.
If you wish, your work will be published on this website with your bio, name, etc.

Other details:

50 participants max
Food/drink: Only water, coffee and tea are provided. Attendees can order their own food to the venue, take a break to find a restaurant nearby or bring their own lunch.
Price: 50 HKD. We charge a fee to cover venue and food costs. We are a not-for-profit organisation and will aim to keep the costs of our events as low as possible to make it accessible to all.

Data science news round up

Our tight-knit community of data scientist have shared a wealth of news and inspiring projects from around the web over the past couple of months. Here is a brief round up of the more interesting articles, and remember, you can join in on our slack group.

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Millions of Chinese farmers reap benefits of huge crop experiment

An article that demonstrates the world changing potential of evidence based approaches to the world’s problems. For me, it’s also a reminder that it’s often not the latest buzzword or most glamourous topics that have the most impact.

Winning with Data Science

Next is an article examining the business and organisational side of data science. This is a topic that probably doesn’t get enough attention compared to the latest and coolest algorithm. It’s important for data scientists to take an interest in how organisations should adapt, if they don’t it will probably be decided by someone not qualified to make the decision!

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What Comes After Deep Learning?

This article examines whether deep learning is actually a blind alley and considers what new approaches might be next for data science. Also a brief examination of the question of US vs China in the AI “arms race”.

‘Who’s Leading AI’ Isn’t the Intelligent Question

Our final article explores the much talked about question of whether the US or China is winning and why it’s not the right question to ask.

If you found any of these articles interesting then do come and join the discussion on our Slack group, where you will also find details of meetups. https://datasciencehk.slack.com/