Neural Data Science

This volume presents a collection of peer-reviewed contributions arising from StartUp Research: a stimulating research experience in which twenty-eight early-career researchers collaborated with seven senior international professors in order to develop novel statistical methods for complex brain imaging data. During this meeting, which was held on June 25–27, 2017 in Siena (Italy), the research groups focused on recent multimodality imaging datasets measuring brain function and structure, and proposed a wide variety of methods for network analysis, spatial inference, graphical modeling, multiple testing, dynamic inference, data fusion, tensor factorization, object-oriented analysis and others.

Learn to apply Neural Networks for Regression from a Data Science expert. Code templates included.

Data Science, Machine Learning Python, Deep Learning, TensorFlow 2.0, NLP, Statistics for Data Science, Data Analysis !

Python Data Science A-Z, Data Science with Machine Learning A-Z, Deep Learning A-Z, Pandas, Numpy and R Statistics

Data Science A-Z, Python for Data Science, R for Data Science, Statistics for Data Science, Math for Deep Learning

Learn tools, techniques, careers, companies, k-means, clustering, deep learning, neural networks, machine learning ++