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JupyterLab and Notebook News. 08, May 2018

News clips provided algorithmically.

Anaconda’s Damian Avila on the 2017 ACM Software System Award for Jupyter – Anaconda

I am very happy to inform you that Project Jupyter has been awarded the 2017 ACM Software System Award!
As part of the Jupyter Steering Council, I am one of the official recipients of the award, but I wanted to highlight that I am just one member of a large group of people (contributors and users) working together to push the Project Jupyter forward and beyond its limits.
Project Jupyter is an essential part of my life. It gave me the opportuni…
2018-05-02 13:21:08-05:00 Read the full story.
CloudQuant Thoughts: Congrats to the team. We obviously believe that the ability to compute interactively and to research data will lead to smart opportunities for quantitative trading.

Linear Algebra for Deep Learning – Towards Data Science

Linear algebra is a form of continuous rather than discrete mathematics, many computer scientists have little experience with it. A good understanding of linear algebra is essential for understanding and working with many machine learning algorithms, especially deep learning algorithms.
Deep Learning is a subdomain of machine learning, concerned with the algorithm which imitates the function and structure of the brain called the artificial neura…
2018-05-07 13:36:25.969000+00:00 Read the full story.
CloudQuant Thoughts: Linear algebra (and finite mathematics) are skills that every data scientists should review.

Below the Fold

50+ Useful Machine Learning & Prediction APIs, 2018 Edition

By Pedro Lopez, KDnuggets.
An API is a set of routines, protocols and tools for building software applications. For KDnuggets’ third edition of this post, we removed discontinued APIs from the list of 2017, and updated it with new elements. All APIs are categorized into emerging application groups:
Face and Image Recognition.
Text Analysis, NLP, Sentiment Analysis.
Language Translation.
Machine Learning and prediction.
Within each group of …
2018-05-05 00:00:00 Read the full story.

Google’s Android development studio gets a new update with visual navigation editing

Android’s development studio is getting a new update as Google rolls out Android Studio 3.2 Canary, adding new tools for visual navigation editing and Jetpack.
The new release includes build tools for the new Android App Bundle format, Snapshots, a new optimizer for smaller app code and a new way to measure an app’s impact on battery life. The Snapshots tool is baked into the Android Emulator and is geared toward getting the emulator up and runn…
2018-05-08 00:00:00 Read the full story.

Google’s ML Kit makes it easy to add AI smarts to iOS and Android apps

At its I/O developer conference, Google today introduced ML Kit, a new software development kit (SDK) for app developers on iOS and Android that allows them to integrate into their apps a number of pre-built Google-provided machine learning models. One nifty twist here is that these models — which support text recognition, face detection, barcode scanning, image labeling and landmark recognition — are available both online and offline, depending …
2018-05-08 00:00:00 Read the full story.

Hardware Advances Make 2018 the Year to Monetize Neural Nets

Neural networks and deep learning are frequently recognized as the key to futuristic innovations like facial recognition, with consumers paying up for the novelty of using their visage to unlock their phones, and police squads partnering with AI startups to catch criminals. But the use cases for neural nets extend well beyond the flashy, and innovations in hardware are enhancing accessibility, signaling it’s time for more companies to find approp…
2018-05-08 00:00:00 Read the full story.

Google launches ML Kit for Android and iOS developers

Google today announced the debut in beta of ML Kit, a software development kit optimized for deploying AI for mobile apps on app development platform Firebase. ML Kit, available for both Android and iOS developers, can call on APIs both on-device and in the cloud.
AI in mobile apps can do a range of things, such as extract the nutrition information from a product label or add style transfers, masks, and other effects to a photo.
The news was an…
2018-05-08 00:00:00 Read the full story.

Detecting Breast Cancer with Deep Learning – Towards Data Science

Invasive ductal carcinoma (IDC) also known as infiltrating ductal carcinoma is most common type of breast cancer. American Cancer Society estimates more than 180,000 women in the United States find out they have invasive breast cancer every year. Most of these cancers are diagnosed with IDC.
Accurately identifying and categorizing breast cancer subtype is an important task. Automated methods based on AI can significantly save time and reduce err…
2018-04-27 15:19:45.259000+00:00 Read the full story.

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