indico Blog

Resources for exploring machine learning and data science

June 6, 2016

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How Machine Learning is Shaping Digital Marketing

Last week Dan Kuster held a workshop at General Assembly Boston on how machine learning is changing -- and improving -- the way digital marketers do their jobs. Video and slides available for those of you who missed it.

May 16, 2016

Posted by
Luke Metz

ICLR 2016 Takeaways: Adversarial Models & Optimization

At the beginning of the month, three members of our Advanced Development team attended the International Conference on Learning Representations in Puerto Rico. Luke discusses some key takeaways and his favorite papers.

May 9, 2016

Posted by
Dan Kuster

The Good, Bad, & Ugly of TensorFlow

Much has changed since we last evaluated TensorFlow back in November. We've been using the framework in daily research and engineering - here's an update on what's happened since.

May 2, 2016

Posted by
Luke Metz

TensorFlow Data Input (Part 2): Extensions & Hacks

Luke expands on the data input methods he discussed in Part 1 of this mini blog series, namely highlighting a hybrid approach of those methods that allows for faster training, as well as some extensions to the demo.

April 25, 2016

Posted by
Luke Metz

TensorFlow Data Input (Part 1): Placeholders, Protobufs & Queues

TensorFlow is a great new deep learning framework that supports the symbolic construction of functions (similar to Theano) to perform some computation, generally a neural network based model. Luke, one of our machine learning researchers, discusses several methods for feeding data into a machine learning model using this framework.

April 11, 2016

Posted by
Nathan Lintz

Sequence Modeling With Neural Networks (Part 1): Language & Seq2Seq

Sequence to sequence problems address areas such as machine translation, where an input sequence in one language is converted into a sequence in another language. Learn the foundations of sequence to sequence models and how neural networks can be used to build powerful models capable of analyzing data that varies over time.

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