Tagged: PyData

0

Data Science in Production

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...

0

Web Scraping with Python

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.

0

Ten Steps to Keras

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....

0

Building Robust Machine Learning Systems

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...

0

Using Deep Learning in Natural Language Processing

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.