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Matt Cloke and Narendra Tumkur on The Science and Art of Systems Engineering
Coming from an enterprise systems development background, Matt & Naren will highlight some technologies, techniques and approaches that can be applied to the domain of data science. This includes environment management through Vagrant and Docker, Testing, Continuous integration and more!
Yaz Santissi on Image Recognition with TensorFlow using Python
When dealing with big data, there are two fundamental approaches. First, we can write rules into the code. In the second approach, we can write code that itself writes the rules. This second approach is growing in popularity. It has become commonly known as artificial intelligence but is manifested concretely with TensorFlow. One problem which demonstrates the clear superiority of the second approach is image recognition. In this talk, key concepts will be highlighted. Python code snippets to create and train an image recognition model will be shown. And the audience will be able to test out the image recognition model via a chat bot.
Lightning talk speakers:
Celine Boudier (http://twitter.com/CelineBoudier) on Code For Life - Inspiring the next generation of developers
Do you remember when you wrote your first line of code? Lucy is 6, and learnt her first coding concepts in January when her teacher introduced her to Ocado Technology's Code for Life. Code For Life is a free, open source project whose first web game, Rapid Router, teaches programming concepts, Blockly and Python to primary school children. It offers fun activities for pupils and materials to support teachers. Most Code for Life team contributors wished they had access to such games when they were Lucy's age... Care to help or to know more? You will hear about Code For Life and how to help inspire the next generation of technologists!
Peter Bleackley on A Hidden Markov Model Library
I present an open-source Python library for Hidden Markov Models, and request help in developing it further.
Marco Bonzanini (http://twitter.com/marcobonzanini) on Mastering Social Media Mining with Python
This presentation will introduce the new book "Mastering Social Media Mining with Python" to the PyData audience. The book covers the interaction with Social Media platforms and several applications of Data Mining techniques to social data, in Python.
Doors open at 6.30 (get there early as you have to sign-in via AHL's security), talks start at 7pm, beers from 9pm in the bar. We normally have > 200 folk in the room so there's plenty of people to discuss data science questions with!
Please unRSVP if you realise you can't make it. We're limited by building security on number of attendees, so please free up your place for your fellow community members!
Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements. See you on the 2nd!