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Recurrent Neural Networks for Text Analysis – Alec Radford ODSC Boston 2015
Recurrent Neural Networks for Text Analysis from odsc Recurrent Neural Networks hold great promise as general sequence learning algorithms. As such, they are a very promising tool for text analysis. However, outside of very specific use cases such as handwriting recognition and recently, machine translation, they... Read more
Machine Learning for Suits – Rahul Dave ODSC Boston 2015
Machine Learning for Suits from odsc You will learn the basic concepts of machine learning – such as Modeling, Model Selection, Loss or Profit, overfitting, and validation – in a non-mathematical way, so that you can ask for data analysis and interpret the results of a... Read more
Feature Engineering – David Epstein ODSC Boston 2015
Feature Engineering from odsc One of the most important, yet often overlooked, aspects of predictive modeling is the transformation of data to create model inputs, better known as feature engineering (FE). This talk will go into the theoretical background behind FE, showing how it leverages existing... Read more
Scalable Data Science and Deep Learning with H2O – Arno Candel ODSC Boston 2015
Scalable Data Science and Deep Learning with H2O from odsc The era of Big Data has passed, and the era of sensory overload – that is, the proliferation of sensor data – is upon us. The challenge today is how to create the next generation of... Read more
Keeping Governments Accountable with Open Data Science – Cezary Podkul & Marc Joffe ODSC Boston 2015
Keeping Governments Accountable with Open Data Science from odsc Keeping Governments Accountable with Open Data Science: Extracting and Analyzing Municipal Financial Data from odsc Open data is enabling journalists, watchdog groups and investors to gain more insight than ever before into the finances of state and... Read more
DIY Deep Learning with Caffe Workshop – Kate Saenko ODSC Boston 2015
DIY Deep Learning with Caffe Workshop from odsc Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. Caffe’s expressive architecture... Read more
Data Visualization & UX – Mark Schindler and Bang Wong ODSC Boston 2015
Data Visualization & UX from odsc Data Visualization is about helping people gain knowledge from data. The focus of this workshop is on approaches to turn data into actionable insights, combining heuristics for visual analytics with techniques from user-experience design. Participants will learn how to choose... Read more
What Can Graphs Teach Us about Teachers: Using Graphs for High Quality Recommendations – Amit Bhattacharyya ODSC Boston 2015
What Can Graphs Teach Us about Teachers: Using Graphs for High Quality Recommendations from odsc Teachers Pay Teachers is an online marketplace for teachers to buy, sell and share original educational resources. As any marketplace grows, there is an increasing need to provide a customized experience... Read more
Winning Data Science Competitions – Owen Zang ODSC Boston 2015
Owen Zhang is no stranger to data science competitions. He has competed in and won several high profile challenges, and is currently ranked 1st out of a community of 200,000 data scientists on Kaggle. This is an opportunity to learn the tips, tricks and techniques Owen... Read more
An introduction to Bayesian Statistics using Python – Allen Downey ODSC Boston 2015
An introduction to Bayesian Statistics using Python from freshdatabos Read more