Summary of Denver Data Science Day, September 16th, 2017

http://denverdatascienceday.com/
This was an extremely informative conference on Data Science. All the speakers were excellent and the sessions were extremely informative and thought provoking.
  1. Alex Sandovsky, Senior Director of Data Science at Oracle was the first keynote who talked about how computers are deciding what you will buy at the grocery store; how companies are marketing in the age of data science.
Some highlights of the talk:
  • What people buy
  • Who they are
  • Where they go
  • What they do
They have 115 million buyer households with identity matched data including retail, tv viewership, consumer goods & auto.
bluekai - cookie based data marketplace
add this - java scripts powered tools
Where data comes from?
  • postal address
  • cookies
  • email addresses
  • ip addresses
  • phone DeviceID
  • web browser
  • gaming consoles
  • logins
Strong ID Graph is used for Marketing
pandas - programming language
Oracle Data Cloud technologies: Terraform cloud, Hadoop file system, Luigi Task Manager, workflow tool using python, Hive and Spark (apache)
Advertising Campaign - Bidding and Optimization
2. Barton Rhodes, Senior Data Scientist at Pandata gave a tour of using the Google cloud platform to amplify your team's data engineering game.
Key Highlights:
  • Big Query
  • Dataflow
  • Dataproc
  • Datalab
  • Data prep
  • Machine Learning
  • Container Engine
  • Vision API
  • Natural language API
  • Video learning
Google Cloud SDK
  • gcloud
  • gsutil
  • bq
  • kubectl
  • supports Python, Java, NodeJS
Bigquery - massively parallel query engine
Dataflow (aka Apache Beam)
Research Paper: The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing
http://www.vldb.org/pvldb/vol8/p1792-Akidau.pdf
Cloud TPUs -> integrated circuits highly optimized for reduced precision operations, integration with Tensor flow; accelerates AI inference and training
3. Victor Amin, Data Scientist at Sendgrid gave a hands on session on Machine Learning and how to identify abuse
Key Highlights:
Live Azure Tutorial: https://notebooks.azure.com/vamin/libraries/M3AAWG40
Vocabulary
  • Model
  • Training Set
  • Sample
  • Attribute or feature
  • Target
4. The second keynote of the day was by Shawn Rogers, Senior Director of Analytic Strategy at TIBCO Software who talked about the Algorithmic Economy
Key Highlights:
The industry has moved beyond Data. Algorithms are the future
Big Belly reinvents Trash Can
  • Sensor driven
  • wireless communication and messaging
  • predictive routing
  • smart trashcan
  • how often to clean
  • when will it be full
  • bigbelly.com
French Fryer supplier
Telenor Cell phone provider - using data science to serve unbanked
GE's cloud platform - predix
Apervita Health care algorithm marketplace
Algorithmia Library ~ 800 algorithms ready to use
Data Mapper - selling a platform to analyze drone data
Quantiacs - FinTech - a marketplace to connect the FinTech quant to the industry
Tibco Statistica workspace
Problems with unbridled uses of Algorithms
  • Case of Target using algorithms to detect and target families with coupons of baby products to expectant moms
  • The 23.5 million Dollar book: The making of a Fly: Genetics of Animal design
  • The 440 million Dollar Software Test - Knight Capital 2012
5. Bill Vander Lugt, Data Scientist at Galvanize gave a talk on Deep Learning and the Future of Natural Language processing using Google's new translation engine
Key Highlights:
Chomsky on NLP: "Colorless green ideas sleep furiously"
Grammar based NLP vs Neural Net
  • Deep Learning
  • Backpropagation
  • LTSM
  • Word2Vec
Google's Seq2seq
Models
  • Neural Net
  • Recurrent Neural Net
  • Encoder/Decoder
  • LSTM/GRU
Google SyntaxNet: grammar based
Finally the folks at Galvanize mentioned about Kaggle datasets: https://www.kaggle.com/datasets
Here was the actual schedule of the conference:




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