What we're about
PyData Bristol is the Bristol chapter of the international PyData community.
All the material from previous meetups can be found in this GitHub repository (https://github.com/pydatabristol/meetups). The material for the workshops can be found in this other GitHub repository (https://github.com/pydatabristol/workshops).
Call for proposal
If you would like to give a talk (from 5 minutes to 1 hour) please fill this google form (https://goo.gl/forms/WNBOvkqtamt6XHHr2) with some initial details and we will contact you as soon as possible. The talk could be to present your current work, a topic that you just learned, the reason why you are attending PyData Bristol. As an example, these is a small list with the most mentioned topics from PyData Bristol community: machine learning, data visualisation, python, data science, artificial intelligence, natural language processing, deep learning, neural networks, business, to mention a few. Thanks in advance for your time! :)
What is PyData?
PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. The PyData Code of Conduct ( http://pydata.org/code-of-conduct.html ) governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS ( https://numfocus.typeform.com/to/ynjGdT ).
Code of Conduct
PyData is dedicated to providing a harassment-free meeting experience for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of meeting participants in any form.
All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate for any conference venue, including talks.
Be kind to others. Do not insult or put down other attendees. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for PyData.
To discuss any issues or concerns relating to the code of conduct or behavior of anyone at the PyData meetup
Please contact the local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS ( https://numfocus.typeform.com/to/ynjGdT ).
Upcoming events (1)
Join us once again for the next PyData Bristol Meetup!
The PyData community in Bristol continues to thrive with engaging talks, insightful lightning sessions, and lively networking. A massive thank you to our generous hosts, Cookpad, for supplying the venue, Adlib for the scrumptious pizza, and thirst-quenching refreshments, along with additional sponsorship.
Agenda for the evening:
🚪 6:00 pm - Doors open
🕡 6:30 pm - Talks commence (sharp!)
📚 Two 25-minute talks:
- Talk 1: TBC
- Talk 2: TBC
📚 Two 5-minute lightning talks:
- Lightning Talk 1: Discrete Fourier Transforms on Convolutional Neural Networks for time series - Michael Roberts
- Talk 2: TBC
📢 Community announcements
🤝 Relaxed networking over beers and soft drinks
Interested in sharing your knowledge or experience at this or a future event? Fill out this form to submit your talk proposal: https://goo.gl/forms/8lsz1WA1986Ahbbs1
We look forward to seeing you there for another fantastic evening of Python, Data Science, and camaraderie!
# 1. Discrete Fourier Transforms on Convolutional Neural Networks for time series - Michael Roberts
This talk will give a brief overview of a method to apply Convolutional Neural Networks to analysis of audio data through the use of the Discrete Fourier Transform. This approach is used in the current state-of-the-art algorithm for musical segment boundary detection, the subject of my MSc thesis.
Mike has been working in academic publishing for over 16 years. His data science journey started over ten years ago, using natural language processing to semantically enrich documents. More recently he has worked on projects to forecast user web behaviour, provide custom content recommendation systems, and generate long-range customer churn predictions. He has an MSc in Data Science from University of the West of England.
# 2. TBC
Talks kick off at 18:30 sharp; then networking in The Knights Templar from 20:40.
If you realise you can't make it, please un-RSVP in good time to free up your place for your fellow community members.
Follow @pydatabristol (https://twitter.com/pydatabristol) for updates on this and future events, as well as news from the global PyData community.
📜 CODE OF CONDUCT
The PyData Code of Conduct governs this meetup (https://pydata.org/code-of-conduct/). To discuss any issues or concerns relating to the code of conduct or behaviour of anyone at the PyData meetup, please contact the PyData Bristol organisers, or you can submit a report of any potential Code of Conduct violation directly to NumFOCUS (https://numfocus.typeform.com/to/ynjGdT).
- Valerio M.
- Alistair R.
- Alon S.
- 35 attendees
Past events (30)
- Alistair R.
- Alon S.
- Frank K.
- 51 attendees