Usando el marco de ingeniería de software de la deuda técnica, encontramos que es común incurrir en costos de mantenimiento masivos y continuos en sistemas de ML del mundo real.
The Allen Institute just published the #covid19 open research #dataset. In addition, they are sponsoring a related Kaggle competition. The dataset contains almost 30k scholarly articles related to the virus. The goal is to use #NLP to advance our understanding.
«Microsoft CNTK (Cognitive Toolkit, formerly Computational Network Toolkit), an open source code framework, enables you to create feed-forward neural network time series prediction systems, convolutional neural network image classifiers, and other deep learning systems. In Introduction to CNTK Succinctly, author James McCaffrey offers instruction on the basics of installing and running CNTK, and also addresses machine-learning regression and classification techniques. Exercises and explanations are included in each chapter». (Syncfusion)
Introduction to CNTK Succinctly (Microsoft Cognitive Toolkit) Leer más »
Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite JSON specification. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code. Altair is developed by Jake Vanderplas and Brian Granger in close collaboration with the UW Interactive Data Lab.
The TIMESTORM consortium, funded by the EU’s Future and Emerging Technologies (FET) programme, has transformed the notion of time perception in artificial intelligence from an immature, poorly defined subject into a promising new research strand, drawing on diverse expertise in psychology and neurosciences as well as robotics and cognitive systems.
Robots in a rush: time-aware AI aids human-machine interaction Leer más »
Neural networks are a powerful tool for developers, but harnessing them can be a challenge. With Keras Succinctly, author James McCaffrey introduces Keras, an open-source, neural network library designed specifically to make working with backend neural network tools easier.
There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively-until now.
Efficient R programming Leer más »
This SQL Notes for Professionals book is compiled from Stack Overflow Documentation. (166 pages, published on May 2018)
«In this ebook, we discuss some of the key differences between deep learning and traditional machine learning approaches. We look at three factors that might influence your decision and then step through an example that combines the two approaches». (MathWorks).
Deep Learning or Machine Learning? (MathWorks) Leer más »
These data can be used in the area of artificial intelligence (machine learning and deeplearning) and among all obtain more efficient and faster results regarding coronavirus.
Artificial Intelligence use for help. The coronavirus R dataset package Leer más »