We have entered the Era of Big Data. The explosion and profusion of available data in a wide range of application domains rise up new challenges and opportunities in a plethora of disciplines—ranging from science and engineering to biology and business. One major challenge is how to take ...
DSVM assists data science teams to access a consistent setup. In this chapter, a brief introduction to DSVM and how to install it is provided, in addition to an overview of the tools installed.doi:10.1007/978-1-4842-3658-1_16Leila Etaati...
Big Data is currently one of the most demanded niches in the development and supplement of enterprise software. The high popularity of Big Data technologies is a phenomenon provoked by the rapid and constant growth of data volumes. Massive data arrays must be reviewed, structured, and processed t...
Scientific digital content, including Earth Science observations and model output, has become more heterogeneous in format and more distributed across the Internet. In addition, data and metadata are becoming necessarily linked internally and externally on the Web. As a result, such content has become...
Published in Towards Data Science · 20 min read · Dec 8, 2020 -- 4 Photo byKevin KufromPexels There are many Web development frameworks in the market. Choosing the right framework is a complex and tricky task. If you are an enterprise, choose a framework that will be maintained for th...
Machine Learning & Data Science Classical machine learning algorithms in open source frameworks use oneAPI libraries. Intel also offers further optimizations in extensions to these frameworks. scikit-learn* Dynamically speed up scikit-learn* applications on Intel CPUs and GPUs. Learn More XGBoost ...
Machine Learning & Data Science Classical machine learning algorithms in open source frameworks use oneAPI libraries. Intel also offers further optimizations in extensions to these frameworks. scikit-learn* Dynamically speed up scikit-learn* applications on Intel CPUs and GPUs. Learn More XGBoost ...
Application and evaluation of knowledge graph embeddings in biomedical data, PeerJ Computer Science 7:e341,Mona Alshahrani, Maha A. Thafar, Magbubah Essack MoTSE: an interpretable task similarity estimator for small molecular property prediction tasks, bioRxiv 2021.01.13.426608,Han Li, Xinyi Zha...
model,data))# Step 3: Perform a causal analysis.# results = gcm.<causal_query>(causal_model, ...)# For instance, root cause analysis:anomalous_sample=pd.DataFrame(dict(X=[0.1],Y=[6.2],Z=[19]))# Here, Y is the root cause.# "Which node is the root cause of the anomaly in Z...
Porous metal-organic frameworks are a class of materials with great promise in gas separation and gas storage applications. Due to the high dimensional space of materials science and engineering, computational screening techniques have long been an important part of the scientific toolbox. However, a...