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Josh Patterson

Josh Patterson

61 Followers
24 SlideShares 1 Clipboard 61 Followers 2 Followings
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24 SlideShares 1 Clipboard 61 Followers 2 Followings

Personal Information
Organization / Workplace
Chattanooga, Tennessee Area, TN United States
Occupation
Advisor at Skymind.io - Deep learning for Industry
Industry
Technology / Software / Internet
Website
jpatterson.floe.tv
About
I look for opportunities to work with data in multiple domains, especially in the context of machine learning and Hadoop. My interest ranges from mesh networks, to stochastic gradient descent, to genetic algorithms, to classification, all the way to biologically inspired algorithms such as quantitative stigmergy. I'm interested in trying forward thinking techniques, especially new research based techniques, that push domains such as genomic, utility, and financial data. I believe a strong commitment to the open source world is a good component to any business. Specialties: Hadoop, HBase, Machine Learning, SGD, Neural Networks, Linear Modeling, Analytics, Market Analysis, Embedded Systems...
Contact Details
Tags
hadoop deep learning machine learning dl4j spark canova vectorization yarn machinelearning chattanooga mahout artificial intelligence consulting regulations fear society jobs ai datavec deeplearning skymind enterprise workflow dl4j stampedecon strata healthcare 2016 recurrent neural networks hadoop dl4j canova gpus impala hdfs data hive intro pig georgia tech vectors hadoop yarn metronome deeplearning deep learning m mlconf linear algorithms neuralnetworks regression logistic mlconf2013 linearregression amsterdam summit metronome knittingboar sgd recommendation chadnug overview sax lumberyard hbase isax hadoop machinelearning mrv2 mahout classification naive bayes
See more
Presentations (24)
See all
Classification with Naive Bayes
12 years ago • 18961 Views
Machine Learning and Hadoop
11 years ago • 6785 Views
Oct 2011 CHADNUG Presentation on Hadoop
11 years ago • 1416 Views
LA HUG Dec 2011 - Recommendation Talk
11 years ago • 1176 Views
Knitting boar - Toronto and Boston HUGs - Nov 2012
10 years ago • 689 Views
Knitting boar atl_hug_jan2013_v2
10 years ago • 537 Views
Hadoop Summit EU 2013: Parallel Linear Regression, IterativeReduce, and YARN
10 years ago • 5384 Views
MLConf 2013: Metronome and Parallel Iterative Algorithms on YARN
9 years ago • 2267 Views
Hadoop Summit 2014 - San Jose - Introduction to Deep Learning on Hadoop
8 years ago • 7416 Views
Intro to Vectorization Concepts - GaTech cse6242
8 years ago • 4300 Views
Georgia Tech cse6242 - Intro to Deep Learning and DL4J
8 years ago • 2304 Views
Chattanooga Hadoop Meetup - Hadoop 101 - November 2014
8 years ago • 752 Views
Vectorization - Georgia Tech - CSE6242 - March 2015
8 years ago • 1455 Views
Deep Learning Intro - Georgia Tech - CSE6242 - March 2015
8 years ago • 1447 Views
Enterprise Deep Learning with DL4J
8 years ago • 1081 Views
Deep learning with DL4J - Hadoop Summit 2015
7 years ago • 794 Views
How to Build Deep Learning Models
7 years ago • 1115 Views
Building Deep Learning Workflows with DL4J
7 years ago • 3336 Views
Modeling Electronic Health Records with Recurrent Neural Networks
7 years ago • 5302 Views
Deep Learning and Recurrent Neural Networks in the Enterprise
6 years ago • 1044 Views
Deep Learning: DL4J and DataVec
6 years ago • 1619 Views
Smart Data Conference: DL4J and DataVec
6 years ago • 1138 Views
What is Artificial Intelligence
5 years ago • 342 Views
Patterson Consulting: What is Artificial Intelligence?
5 years ago • 646 Views
Likes (2)
mahout-cf
sscdotopen • 12 years ago
Intro to Apache Mahout
Grant Ingersoll • 12 years ago
  • Activity
  • About

Presentations (24)
See all
Classification with Naive Bayes
12 years ago • 18961 Views
Machine Learning and Hadoop
11 years ago • 6785 Views
Oct 2011 CHADNUG Presentation on Hadoop
11 years ago • 1416 Views
LA HUG Dec 2011 - Recommendation Talk
11 years ago • 1176 Views
Knitting boar - Toronto and Boston HUGs - Nov 2012
10 years ago • 689 Views
Knitting boar atl_hug_jan2013_v2
10 years ago • 537 Views
Hadoop Summit EU 2013: Parallel Linear Regression, IterativeReduce, and YARN
10 years ago • 5384 Views
MLConf 2013: Metronome and Parallel Iterative Algorithms on YARN
9 years ago • 2267 Views
Hadoop Summit 2014 - San Jose - Introduction to Deep Learning on Hadoop
8 years ago • 7416 Views
Intro to Vectorization Concepts - GaTech cse6242
8 years ago • 4300 Views
Georgia Tech cse6242 - Intro to Deep Learning and DL4J
8 years ago • 2304 Views
Chattanooga Hadoop Meetup - Hadoop 101 - November 2014
8 years ago • 752 Views
Vectorization - Georgia Tech - CSE6242 - March 2015
8 years ago • 1455 Views
Deep Learning Intro - Georgia Tech - CSE6242 - March 2015
8 years ago • 1447 Views
Enterprise Deep Learning with DL4J
8 years ago • 1081 Views
Deep learning with DL4J - Hadoop Summit 2015
7 years ago • 794 Views
How to Build Deep Learning Models
7 years ago • 1115 Views
Building Deep Learning Workflows with DL4J
7 years ago • 3336 Views
Modeling Electronic Health Records with Recurrent Neural Networks
7 years ago • 5302 Views
Deep Learning and Recurrent Neural Networks in the Enterprise
6 years ago • 1044 Views
Deep Learning: DL4J and DataVec
6 years ago • 1619 Views
Smart Data Conference: DL4J and DataVec
6 years ago • 1138 Views
What is Artificial Intelligence
5 years ago • 342 Views
Patterson Consulting: What is Artificial Intelligence?
5 years ago • 646 Views
Likes (2)
mahout-cf
sscdotopen • 12 years ago
Intro to Apache Mahout
Grant Ingersoll • 12 years ago
Personal Information
Organization / Workplace
Chattanooga, Tennessee Area, TN United States
Occupation
Advisor at Skymind.io - Deep learning for Industry
Industry
Technology / Software / Internet
Website
jpatterson.floe.tv
About
I look for opportunities to work with data in multiple domains, especially in the context of machine learning and Hadoop. My interest ranges from mesh networks, to stochastic gradient descent, to genetic algorithms, to classification, all the way to biologically inspired algorithms such as quantitative stigmergy. I'm interested in trying forward thinking techniques, especially new research based techniques, that push domains such as genomic, utility, and financial data. I believe a strong commitment to the open source world is a good component to any business. Specialties: Hadoop, HBase, Machine Learning, SGD, Neural Networks, Linear Modeling, Analytics, Market Analysis, Embedded Systems...
Tags
hadoop deep learning machine learning dl4j spark canova vectorization yarn machinelearning chattanooga mahout artificial intelligence consulting regulations fear society jobs ai datavec deeplearning skymind enterprise workflow dl4j stampedecon strata healthcare 2016 recurrent neural networks hadoop dl4j canova gpus impala hdfs data hive intro pig georgia tech vectors hadoop yarn metronome deeplearning deep learning m mlconf linear algorithms neuralnetworks regression logistic mlconf2013 linearregression amsterdam summit metronome knittingboar sgd recommendation chadnug overview sax lumberyard hbase isax hadoop machinelearning mrv2 mahout classification naive bayes
See more

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