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JupyterLab and Notebook News. 08, June 2018

News clips provided algorithmically.


Looker Boosts Data Science Capabilities in Latest Platform Release

Looker, a data platform provider, is releasing new tools and integrations to optimize data science workflows.

Looker is improving its governed data workflow with an SDK for R and connections for Python, as well as streamed and merged results, Google TensorFlow integrations, and clean, visual recommendations for users.

“We’re focused on preparation that happens which a lot of research will tell you takes up 70-80% of data scientists time and the…
2018-05-30 00:00:00 Read the full story.

Unsupervised Deep Learning Algorithms for Computer Vision

Introduction

It is often said that in machine learning (and more specifically deep learning) – it’s not the person with the best algorithm that wins, but the one with the most data. We can always try and collect or generate more labelled data but it’s an expensive and time consuming task.

This is where the promise and potential of unsupervised deep learning algorithms comes into the picture. They are designed to derive insights from the data wi…
2018-06-07 00:17:56+05:30 Read the full story.

BlueData Introduces Turnkey Solution for AI and Machine Learning

The BlueData AI/ML Accelerator solution includes software and professional services to deploy containerized multi-node sandbox environments for exploratory use cases with TensorFlow and other ML/DL tools.

According to BlueData, AI and ML/DL have moved into the mainstream with a broad range of data-driven enterprise applications such as credit card fraud detection, stock market prediction for financial trading, credit risk modeling for insurance, genomics and precision medicine, disease detection and diagnosis, natural language processing (NLP) for customer service, autonomo…
2018-05-31 00:00:00 Read the full story.

 

 


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