Artificial Intelligence / Data Science
10 Jul, 2017
Katrina Rieh kicks off PyData in Seattle with her keynote about her experience with Python and Data Science in production. Katrina is a Senior Manager for the Global Data Science team at HomeAway.com. Over the last decade, Katrina has worked extensively in the fields of scientific computing, machine learning, data...
6 Jul, 2017
I’ve long been a fan of web scraping, as a method of last resort, should more maintainable means not be available. Now, Data Science has made it cool again. In this PyData talk Carles Illa discusses web scraping in Python.
5 Jul, 2017
What happens when Marketing meets data science? Magic, pure magic.
Data Analytics / Data Science / Python / Science
18 Jun, 2017
Maria Nattestad talks about how Big Data and Data Science are transforming biological, life sciences, and healthcare in this PyData talk.
Artificial Intelligence / Machine Learning
16 Jun, 2017
The ever-increasing size of modern datasets combined with the difficulty of obtaining labeled information has made semi-supervised learning one of the problems of significant practical importance in modern data analysis. VAE offers a novel way to enforce structure on the representation surface, by doing so, it opens the possibility of...
Artificial Intelligence / Python
14 Jun, 2017
Edward Bullen demonstrates how to build chatbot with NLTK and scikit in Python.
Artificial Intelligence / Keras / Machine Learning
8 Jun, 2017
In this tutorial, Valeria Maggio teaches Keras in ten steps (via Jupyter Notebooks). He warms up by teaching how to create a multi layer network, and then moves on to more sophisticated topics such as implementing different types of networks (e.g. RNN, CNN), creating custom layers and discovering Keras internals....
15 May, 2017
As machine learning becomes more prevalent, the systems we build are changing from the deterministic to the probabilistic. The accuracy of machine learning applications can quickly deteriorate in the wild without strategies for testing models, instrumenting their behaviour and the ability to introspect and debug incorrect predictions. In this session...
15 May, 2017
Kathryn Harris explains her transition from academia as an astrophysicist to private industry as a data scientist.
Artificial Intelligence / Machine Learning
8 May, 2017
Using deep learning in natural language processing (NLP): explaining Google’s Neural Machine Translation Recent advancements in NLP use deep learning to improve performance. In September 2016, Google announced that Google Translate will shift from phrase-based to neural machine translation. This talk explains the motivations and the algorithms behind the move.
