Improving Language Understanding with Unsupervised Learning

We’ve obtained state-of-the-art results on a suite of diverse language tasks with a scalable, task-agnostic system, which we’re also releasing. Our approach is a combination of two existing ideas: transformers and unsupervised pre-training. These results provide a convincing example that pairing supervised learning methods with…

Critical Values for Statistical Hypothesis Testing and How to Calculate Them in Python

In is common, if not standard, to interpret the results of statistical hypothesis tests using a p-value. Not all implementations of statistical tests return p-values. In some cases, you must use alternatives, such as critical values. In addition, critical values are used when estimating the…

Deploy Keras neural network to Flask web service | Part 7 – Visualizations with D3, DC, Crossfilter

In this video, we’ll see how we can visualize the prediction results from our neural network with charts in our front end web application using the D3, DC, and Crossfilter Javascript APIs. In the last couple of videos, we completed the development of the back…

The Model Performance Mismatch Problem (and what to do about it)

What To Do If Model Test Results Are Worse than Training. The procedure when evaluating machine learning models is to fit and evaluate them on training data, then verify that the model has good skill on a held-back test dataset. Often, you will get a…

Synthetic biology approaches to improving immunotherapy | PLOS Blogs Network

0000-0003-0319-5416 The AACR 2018 Meeting in Chicago is ending today and has featured the major new results in cancer treatment and immunotherapy treatments in particular. Immunotherapy, the use of the patient’s own immune system to VISIT THE SOURCE ARTICLE Synthetic biology approaches to improving immunotherapy…

Motorleaf Reveals World’s First Artificial Intelligence Powered Yield Prediction For Commercial Greenhouses – SFGate

Motorleaf releases results of the world’s first yield prediction, using artificial intelligence & machine learning technology to cut yield prediction error rates in half. Working with SunSelect, a leading commercial greenhouse, a new era of food production business management begins. MONTREAL (PRWEB) January 18, 2018…