Data Science News Daily Roundup – 19th March 2018

Baidu open sources ApolloScape and collaborates with Berkeley DeepDrive, Uber AI Labs launch VINE, Skope-rules, a Python machine learning module built on top of scikit-learn 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. Baidu open sources ApolloScape and collaborates with Berkeley DeepDrive to further machine learning in automotives

2. Apache Ignite 2.4 rolls out with Machine Learning and Spark DataFrames capabilities

3. IBM Cloud Private for Data: IBM’s new machine learning and data science platform

Other Data Science News at a Glance

1. Uber AI Labs launch VINE, an Open Source Interactive Data Visualization Tool for Neuroevolution. VINE can illuminate both evolution strategies (ES) and genetic algorithms (GA) style approaches, which help to train deep neural networks to solve difficult reinforcement learning (RL) problems.

Read more on UBER Engineering blog.

2. XMPro to participate in the Industrial Internet Consortium (IIC) Smart Factory Machine Learning for Predictive Maintenance Testbed. The testbed aims to evaluate and validate machine learning techniques for predictive maintenance on high volume production machinery.

Read more on prnewswire.

3. Introducing Skope-rules, a Python machine learning module built on top of scikit-learn and distributed under the 3-Clause BSD license. Skope-rules aims at learning logical, interpretable rules for "scoping" a target class, i.e. detecting with high precision instances of this class.

Read more on Sebastian Raschka’s Twitter post

4. Fimmic Launches Aiforia Cloud, Bringing Self-Service Deep Learning AI to Digital Pathology. The platform’s new Aiforia Create tools bring unique self-service capabilities by allowing users to generate their own deep learning algorithms by training convolutional neural networks (CNN) to learn, detect and quantify specific features of interest in tissue images.

Read more on WLNS.com