A Gentle Introduction to the Gradient Boosting Algorithm for Machine Learning by Jason Brownlee on September 9, 2016 in XGBoost 0 0 0 0 Gradient boosting is one of the most powerful techniques for building predictive models. In this post you will d…
Introduction to Gaussian Processes Gaussian processes (GP) are a cornerstone of modern machine learning. They are often used for non-parametric regression and classification, and are extended from the theory behind Gaussian distributions and Gaussian…
Saw a tweet from Andrew Liam Trask, sounds like Oxford DeepNLP 2017 class have all videos/slides/practicals all up. Thanks Andrew for the tip! Preamble This repository contains the lecture slides and course description for the Deep Natural Language P…
Lecture note 1: Introduction to TensorFlow Why TensorFlow TensorFlow was originally created by researchers at Google as a single infrastructure for machine learning in both production and research. Later, an implementation of it was open sourced unde…
项目组用到了 Node.js,发现下面这篇文章不错.转发一下.原文地址:<原文>. ------------------------------------------- A chatroom for all! Part 1 - Introduction to Node.js Rami Sayar 4 Sep 2014 11:00 AM 7 This node.js tutorial series will help you build a node.js powered real-time…
Source: Connected Brain Figure above: Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems.[J]. Nature Reviews Neuroscience, 2009, 10(3):186-198. Graph measures A graph G consisting of a set of…
