Data Science News Daily Roundup – 22nd March 2018

DeepMind’s neural deletion, MachineLabs goes opensource, IBM’s Snap Machine Learning, and more in today’s top stories around machine learning, deep learning, and data science news.

Top Data science News Stories of the Day

1. MachineLabs, the browser-based machine learning platform, goes open source.

2. Snap machine learning: The 46x faster than TensorFlow ML library by IBM.

Other Data Science News at a Glance

1. In a recent paper, DeepMind has used neuron deletion to analyze neural networks. They found that interpretable neurons are no more important than confusing neurons for image classification and networks that generalize better are harder to break.
   Read more on the DeepMind Blog.
2. BokehPlots partners with NumFOCUS to launch another strong open-source visualization ecosystem. With the addition of Bokeh, the NumFOCUS fiscal sponsorship program now encompasses 22 open source scientific computing projects.
   Read more on the NumFOCUS Blog.
3. Paperspace launches an AI Platform as a Service offering called Gradient, based on the serverless delivery model. Gradient removes the friction involved in launching and configuring GPU-backed VMs to train machine learning and deep learning models.
   Read more on Forbes.
4. There are new features in InfluxDB Open Source Backup and Restore. Now, the open source backup utility provides the option to run both backup and restore functions on a live database.
   Read more on the Influx Data.
5. BigchainDB has announced the name of their next release as BigchainDB 2.0. Bigchain 2.0 uses version 2.0 transactions, as documented in the IPDB Transaction Spec version 2.0. The release of BigchainDB 2.0 means that BigchainDB 1.x has reached the end of the line.
   Read more on the BigchainDB Blog.