Mo Patel
2 SlideShares 12 Followers 18 Followings
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Organization / Workplace
Austin, Texas Area United States
Occupation
Bringing the Power of AI to Enterprise at Think Big Analytics
Industry
Apparel / Fashion
Website
http://www.moznotes.com
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Specialties: AI Strategy, Deep Learning, Advanced Analytics, Big Data Technologies, Data Science, Cloud Computing
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ai machine intelligence deep learning graphx spark anti-fraud graphframe
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Presentations

(2)

Apache Spark GraphX & GraphFrame Synthetic ID Fraud Use Case

8 years ago • 2239 Views

What you need to know to start an AI company?

8 years ago • 1313 Views

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(37)
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Deep Style: Using Variational Auto-encoders for Image Generation

TJ Torres • 9 years ago

Real Time Analytics: Algorithms and Systems

Arun Kejariwal • 9 years ago

Extreme Apache Spark: how in 3 months we created a pipeline that can process 2.5 billion rows a day

Josef A. Habdank • 9 years ago

Next-generation Python Big Data Tools, powered by Apache Arrow

Wes McKinney • 9 years ago

Network Effects

a16z • 9 years ago

Improving PySpark performance: Spark Performance Beyond the JVM

Holden Karau • 9 years ago

The Future of Real-Time in Spark

Reynold Xin • 9 years ago

Beyond parallelize and collect - Spark Summit East 2016

Holden Karau • 9 years ago

2014 holden - databricks umd scala crash course

Holden Karau • 10 years ago

Beyond Shuffling, Tips and Tricks for Scaling Apache Spark updated for Spark 1.6 and Datasets - Data Day Texas 2016

Holden Karau • 9 years ago

Ufuc Celebi – Stream & Batch Processing in one System

Flink Forward • 9 years ago

Data Science in 2016: Moving Up

Paco Nathan • 9 years ago

SQL-on-Hadoop Tutorial

Daniel Abadi • 9 years ago

Apache Calcite overview

Julian Hyde • 10 years ago

Building a modern Application with DataFrames

Databricks • 9 years ago

Spark what's new what's coming

Databricks • 10 years ago

Why you care about
 relational algebra (even though you didn’t know it)

Julian Hyde • 10 years ago

Lessons from Running Large Scale Spark Workloads

Databricks • 10 years ago

Hortonworks tech workshop in-memory processing with spark

Hortonworks • 10 years ago

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

Databricks • 10 years ago

Hive on spark is blazing fast or is it final

Hortonworks • 10 years ago

Transitioning Compute Models: Hadoop MapReduce to Spark

Slim Baltagi • 10 years ago

Strata 2015 Data Preview: Spark, Data Visualization, YARN, and More

Paco Nathan • 10 years ago

A New Year in Data Science: ML Unpaused

Paco Nathan • 10 years ago

How Apache Spark fits into the Big Data landscape

Paco Nathan • 10 years ago

What's new with Apache Spark?

Paco Nathan • 10 years ago

Apache HBase for Architects

Nick Dimiduk • 11 years ago

Data Science in Future Tense

Paco Nathan • 10 years ago

#MesosCon 2014: Spark on Mesos

Paco Nathan • 10 years ago

Tiny Batches, in the wine: Shiny New Bits in Spark Streaming

Paco Nathan • 10 years ago
Personal Information
Organization / Workplace
Austin, Texas Area United States
Occupation
Bringing the Power of AI to Enterprise at Think Big Analytics
Industry
Apparel / Fashion
Website
http://www.moznotes.com
About
Specialties: AI Strategy, Deep Learning, Advanced Analytics, Big Data Technologies, Data Science, Cloud Computing
Tags
ai machine intelligence deep learning graphx spark anti-fraud graphframe
See more