[unable to retrieve full-text content]dSPP is the world first interactive database of proteins for AI and Machine Learning, and is fully integrated with Keras and Tensorflow. You can access the database at peptone.io/dspp
Original Post: The world’s first protein database for Machine Learning and AI
[unable to retrieve full-text content]This new course with limited places will focus on AI design (product, development and Data) for the fintech industry and will be taught online by Ajit Jaokar and Jakob Aungiers.
Original Post: AI for fintech course – Early discounts and limited places
Posted by Jonathan Huang, Research Scientist and Vivek Rathod, Software Engineer(Cross-posted on the Google Open Source Blog)At Google, we develop flexible state-of-the-art machine learning (ML) systems for computer vision that not only can be used to improve our products and services, but also spur progress in the research community. Creating accurate ML models capable of localizing and identifying multiple objects in a single image remains a core challenge in the field, and we invest a significant amount of time training and experimenting with these systems. Last October, our in-house object detection system achieved new state-of-the-art results, and placed first in the COCO detection challenge. Since then, this system has generated results for a number of research publications1,2,3,4,5,6,7 and has been put to work in Google products such as NestCam, the similar items and style ideas feature in Image Search and…
Original Post: Supercharge your Computer Vision models with the TensorFlow Object Detection API
[unable to retrieve full-text content]Machine Learning in Real Life: Tales from the Trenches; Is Regression Analysis Really Machine Learning?; Implementing Your Own k-Nearest Neighbour Algorithm Using Python; Building Simple Neural Networks - TensorFlow for Hackers.
Original Post: Top KDnuggets tweets, Jun 07-13: Is Regression Analysis Really Machine Learning?
[unable to retrieve full-text content]In this approach, problem dataset and its Neural network are specified in a PMML like XML file. Then it is used to populate the TensorFlow graph, which, in turn run to get the results.
Original Post: Deep Learning: TensorFlow Programming via XML and PMML
[unable to retrieve full-text content]Many deep-learning systems available today are based on tensor algebra, but tensor algebra isn’t tied to deep-learning. It isn’t hard to get started with tensor abuse but can be hard to stop.
Original Post: Deep Learning 101: Demystifying Tensors
[unable to retrieve full-text content]Python caught up with R and (barely) overtook it; Deep Learning usage surges to 32%; RapidMiner remains top general Data Science platform; Five languages of Data Science.
Original Post: New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll