Data Science. Machine Learning. Big Data. Analytics.

Join us in Atlanta for a 3 day event, November 28-30, on Data Science and Machine Learning! First day is workshop day, and there will be 4 concurrent tracks.

A serious conference on all things Data Science, in a relaxed, fun environment.


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Click here to see last year's amazing content!

REGISTRATION

Workshops must be purchased in a combo pass!

Conference-only tickets are available also.

WORKSHOPS AVAILABLE:

  • Introduction to Machine Learning with Python and TensorFlow
  • Image Classification in TensorFlow on Google Cloud
  • Data Science with R
  • Predictive Analytics - Forecasting 2.0 Machine Learning Algorithms to Help You See Around Corners
  • Data Analytics with Tableau
  • Deep Learning Models at Scale with IBM Watson
  • Intro to Data Science with Jupyter

INDIVIDUAL $445/745

November 28 and main conference Nov 29-30. For data scientists, data engineers/developers, and data architects.

GROUP $395/695

November 28 and main conference Nov 29-30. For data scientists, data engineers/developers, and data architects.

Sessions & Workshops

Industry experts and community members will present fundamentals and the latest in the world of Data Science.

Brought to you by the organizers of another world-class conference, Connect.Tech, DataSciCon.Tech will bring the energy and community spirit of our previous events for three days of learning and networking. We invite you to join us November 2018 for this unique experience!



FEATURED SPEAKERS



Keynotes to be announced soon!

Kirk Borne

Forecasting 2.0

Cui Lin

Multivariate Time Series Anomaly Detection with Deep Learning



AVAILABLE WORKSHOPS

* subject to change, still being finalized



Forecasting 2.0

Kirk Borne

Image Classification in TensorFlow on Google Cloud

Carl Osipov

Data Science with R

Jonathan Regenstein

Tableau Hands-on Workshop

Tim Lafferty

Introduction to Machine Learning with Python and TensorFlow

Brian Sletten

Deep Learning Models at Scale with IBM Watson

Nick Acosta

Intro to Data Science with Jupyter

Ozgur Ozturk

Kulsoom Abdullah







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Speakers







Workshop day: November 28

Main conference days: Nov 29-30

Wednesday November 28th




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Location

DataSciCon.Tech will take place at the Cobb Galleria

Hotel Info

    Coming soon

Sponsors




Do you want to sponsor the event and connect with attendees in a meaningful way?

Click here for sponsorship info!

Code Of Conduct

DataSciCon.Tech is dedicated to providing an outstanding conference experience for all attendees, speakers, sponsors, volunteers and organizers (DataSciCon.Tech participants) regardless of gender, sexual orientation, disability, physical appearance, body size, race, religion, financial status, hair color (or hair amount), platform preference, or text editor of choice. We do not tolerate harassment of DataSciCon.Tech participants in any form. Please treat your fellow DataSciCon.Tech participants with respect, regardless of the context you’re interacting with them.



See complete code of conduct
  • Forecasting 2.0
  • Data Science with R
  • Intro to Practical Data Science in Jupyter
  • Tableau Hands-on Workshop
  • Image Classification in TensorFlow on Google Cloud
  • Introduction to Machine Learning with Python and TensorFlow
  • Conf Welcome
  • Analytics By Design
  • Machine Learning Crash Course
  • Data visualization in mixed reality with Python
  • Stream analytics using Kafka
  • The top 5 Items to make a Data Science Project Successful
  • Morning Break I
  • An Only One Step Ahead Guide for Machine Learning Projects
  • Looking back is therapeutic but looking ahead is sometimes useful
  • Two years in the making: What’s new with Apache Cassandra 4.0?
  • Garbage In, Model Out?
  • Lunch 1.0
  • Deep Learning Models at Scale with IBM Watson
  • Game on: Survival of the Financialist!
  • My Experiments with XGBoost
  • Multivariate Time Series Anomaly Detection with Deep Learning
  • Afternoon Break I
  • Deep Learning Models at Scale with IBM Watson PART II
  • The Future of Voice Interface
  • The Ultimate Stage of Machine Learning
  • Multivariate Time Series.. Part II
  • Jamming with a Quantum Computer
  • Conf Reception
  • The Evolution of Data Science
  • Shiny Machine Learning with R
  • Incremental-decremental Methods for Time Series Analysis
  • Who's tweeting about #datascicon
  • Jupyter Notebook: What's in it For You
  • Morning Break II
  • Enriching Deep Learning (DL) & ML with Apache Solr for Questing Answering (QA) System.
  • Choosing the right cloud, a machine learning approach
  • Big Data and the Multi-model Database
  • Machine Learning Live: Let’s Build a Taxi Fare Predictor
  • Lunch 2.0
  • Real life use cases for Machine Learning
  • We’re Under Attack: The Security Weaknesses in AI
  • Machine Learning Architecture at Scale with Spark and Elasticsearch
  • Data Science in Finance: Deep Learning & Forecasting the Stock Market
  • Afternoon Break II
  • Artificial Intelligence Strategy: Digital Transformation Through Deep Learning
  • Conf After Party