AI Can Be Made Legally Accountable for Its Decisions

In the near future when Artificial Intelligence (Intelligence displayed by machines) will start to spread out and autonomously make important decisions that will impact our daily lives, the issue of its accountability under the law will raise. AI systems are expected to justify their decisions without revealing all their internal secrets, to protect the commercial…

Gradient Boosting

Gradient boosting ensemble technique for regression Gradient boosting is a machine learning technique for regression and classification  problems, which produces a prediction model in the form of an ensemble of weak prediction models, typically decision trees. It builds the model in a stage-wise fashion like other boosting methods do, and it generalizes them by allowing optimization of…

Introduction to Deep Learning with Python

Introduction to Deep Learning with Python Alec Radford, Head of Research at indico Data Solutions, speaking on deep learning with Python and the Theano library. An amazing data science YouTube tutorial with emphasis on high performance computing, natural language processing using recurrent neural nets, and large scale learning with GPUs. This tutorial provides and excellent example of…

SF Big Analytics – Update on Speech Recognition and HPC at Baidu Research

Baidu hosted SF Analytics Meetup at their Sunnyvale office on August 19th, 2015 - Updates on Speech Recognition, Deep Learning and HPC. SF Big Analytics Part 1. Deep Learning by Chief Scientist Andrew Ng SF Big Analytics Part 2. Bryan Catanzaro, Senior Researcher: "Why is HPC So Important to AI?" SF Big Analytics Part 3. Awni Hannun, Senior Researcher: "Update on Deep Speech"