Welcome to another enthralling week of machine learning developments and resources, brought to you in the form of AVBytes!
Highlights from the past week: Google’s search engine for finding datasets, Baidu’s drag-and-drop tools for non-programmers, MIT’s incredible use of neural networks in healthcare, and more resources and articles below!
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- Google Launches Search Engine for Finding Datasets on the Internet: Google has launched a search engine that let’s you find datasets stored in thousands of repositories on the internet! Called ‘Dataset Search’, the service is still in Beta mode but it’s free and available for you to use NOW.
- “Hey BMW, play some music”, a Brilliant Use Case of Machine Learning in Vehicles: Following on from the likes of Google Assistant, Amazon’s Alexa and Apple’s Siri, BMW cars will now have in-built digital assistants. Using ML techniques like speech and voice recognition, the AI assistant can perform a whole range of tasks and even adapts to your tastes over time!
- Baidu Release EZDL, an Automated Machine Learning Tool for Non-Programmers: If you’re not a programmer or are not that good at it, EZDL is the tool for you! Designed and released by Baidu, it is an autoML tool that takes just 4 steps to build models! With a drag-and-drop service, EZDL aims to democratize machine learning. try it out now!
- MIT’s Neural Network uses Text & Audio to Perform Sentiment Analysis for Healthcare: Have you used neural networks for sentiment analysis? MIT’s researchers have built a NN model that uses sequence modeling on audio recordings and text in a brilliant healthcare use case. We cover the technique used in this article.
- Classifying and Decoding Historical Texts and Images using CNNs: There has been some significant research in decoding ancient writing using machine learning, but what about graffiti? This latest study uses techniques like CNNs and multinomial logistic regression to crack open historical mysteries. Check out how the algorithm works inside. A really cool use case of ML!
The above AVBytes were published from 3rd to 9th September, 2018.
Source: Deep Learning on Medium