Hi there, I am Julian
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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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This article presents an efficiency analysis on importing bulk data into neo4j (a graph database).
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Machine Learning: An article explores neural network/. The goal of a feedforward network is to approximate some functionf∗. For example,for a classifier,y=f∗(x) maps an inputxto a categoryy. A feedforward networkdefines a mappingy=f(x;θ) and learns the value of the parametersθthat resultin the best function approximation.
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Machine Learning: An article explores gradient descent.
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Machine Learning: An article explores support vector machine.
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Machine Learning: An article explores linear regression.
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Machine Learning: An article explores reinforcement learning.
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Machine Learning: An article explores K-Mean clustering and gaussian mixture model.
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Machine Learning: An article explores decision trees and its evaluation.
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Data Structure: A review article on some concept of trees. *This is a series of articles on basic data structures*
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Workshop, University of Electronic Science and Technology, China, 2017
Teaching Python in the 7-days workshop (200+ students) “Quantitative Approaches in Earth Sciences” in Chengdu, China.
5 Courses, Northwestern University, 2020
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