Kwan-yuet Ho
7 SlideShares 18 Folgens
Personal Information
Unternehmen/Arbeitsplatz
Washington D.C. Metro Area, MD United States
Beruf
Applied Quantitative Researcher
Branche
Government / Military
Webseite
github.com/stephenhky
Info
Kwan-Yuet (Stephen) Ho, Ph.D. is an applied quantitative researcher with 8-year experience in machine learning, text mining, and other related data science and quantitative fields. He possesses exceptional mathematical abilities, and experience with software development. He is seeking to advance his careers in machine learning, data science and quantitative analytics.
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physics machine learning technology helimagnets theoretical physics gartner hype cycle investment finance market quantum information quantum computing python quantum physics tensor network artificial intelligence story-telling production gradient descent prototype science monitoring software testing software development data science #dataanalysis #dataengineering #it #machinelearning #bigdata #datascience balaam sunday school numbers priest moses bible pentateuch traffic flow text analytics data mining statistical physics optimization a phase nematics skyrmion liquid crystal choletorics columnar phase non-fermi liquid chiral magnets goldstone modes condensed matter helimagnons nfl
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Präsentationen

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Properties of Metallic Helimagnets

Vor 8 Jahren • 914 Aufrufe

Optimization in Statistical Physics

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民數記18-25

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Overview of Data Science

Vor 4 Jahren • 38 Aufrufe

From Story-Telling to Production

Vor 4 Jahren • 175 Aufrufe

Tensor Networks and Their Applications on Machine Learning

Vor 3 Jahren • 435 Aufrufe

Landscape of Quantum Computing Market

Vor 2 Jahren • 76 Aufrufe

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Python tools to deploy your machine learning models faster

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The Ins and Outs of Preposition Semantics:
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Rishabh Mehrotra - Recommendations in a Marketplace: Personalizing Explainable Recommendations with Multi-objective Contextual Bandits

MLconf • Vor 5 Jahren

Detecting Lateral Movement with a Compute-Intense Graph Kernel

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Natural Language Processing with Graph Databases and Neo4j

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Machine Learning Powered by Graphs - Alessandro Negro

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Graph-Powered Machine Learning

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Nova Data Science Meetup 9-20-2017 Introduction

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Nova Data Science Meetup 9-20-2017 Presentation How AI Powers the Comcast X1 Voice Interface

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TENSOR DECOMPOSITION WITH PYTHON

André Panisson • Vor 7 Jahren

word2vec, LDA, and introducing a new hybrid algorithm: lda2vec

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Using Topological Data Analysis on your BigData

AnalyticsWeek • Vor 10 Jahren

Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14

Daniel Lewis • Vor 9 Jahren

Apache Spark Overview

Vadim Y. Bichutskiy • Vor 8 Jahren

Representation Learning of Vectors of Words and Phrases

Felipe Moraes • Vor 9 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Washington D.C. Metro Area, MD United States
Beruf
Applied Quantitative Researcher
Branche
Government / Military
Webseite
github.com/stephenhky
Info
Kwan-Yuet (Stephen) Ho, Ph.D. is an applied quantitative researcher with 8-year experience in machine learning, text mining, and other related data science and quantitative fields. He possesses exceptional mathematical abilities, and experience with software development. He is seeking to advance his careers in machine learning, data science and quantitative analytics.
Tags
physics machine learning technology helimagnets theoretical physics gartner hype cycle investment finance market quantum information quantum computing python quantum physics tensor network artificial intelligence story-telling production gradient descent prototype science monitoring software testing software development data science #dataanalysis #dataengineering #it #machinelearning #bigdata #datascience balaam sunday school numbers priest moses bible pentateuch traffic flow text analytics data mining statistical physics optimization a phase nematics skyrmion liquid crystal choletorics columnar phase non-fermi liquid chiral magnets goldstone modes condensed matter helimagnons nfl
Mehr anzeigen