Data Science. Machine Learning. Big Data. Analytics.

Join us in Atlanta for a 3 day event, November 29 - December 1, on Data Science and Machine Learning! First day is workshop day, and there will be 4 concurrent tracks. Workshops and sessions include:

Data Science, Machine Learning, Analytics, Big Data and more!

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

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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
  • Data Science with R
  • Data Science for Discovery, Innovation, and Value Creation (CxOs, Managers, Biz Analysts)
  • Data Analytics with Tableau

INDIVIDUAL

November 29 and main conference Nov 30 - Dec 1. For data scientists, data engineers/developers, and data architects.

GROUP

November 29 and main conference Nov 30 - Dec 1. 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 2017 for this unique experience!



FEATURED KEYNOTES



Opening Keynote
Friday Keynote

AVAILABLE WORKSHOPS



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Data Science for Discovery, Innovation, and Value Creation

This workshop will walk through a number of machine learning algorithms from the perspective of applications and use cases that I have encountered in my data science career as an astrophysicist, as a NASA program manager, as a university professor, and as the Principal Data Scientist at the management consulting firm Booz Allen Hamilton. The various cases presented will demonstrate the breadth and depth of machine learning, as well as lessons learned, tips for getting started, challenges, and successes. The workshop will consist of several stand-alone vignettes, bound together through a common thread: data-to-action through machine learning, which is the set of mathematical algorithms for pattern detection (data-to-discovery), pattern recognition (data-to-decisions), pattern exploration (data-to-innovation and value), and pattern exploitation (data-to-action).

Data Science with R Workshop

Join this workshop on DataScience with R to gain the skills you need to get started with data science, including statistical and numerical methods and R. You will also learn about visualising data, big data environments and how to interact with linked data in R. Upon completion of this DataScience workshop, you will have an understanding of relevant languages and tools. As there is a rush to hire data scientists these days, there is a coincident rush to update resumes to include the term "Data Scientist". Unfortunately, like most types of science, it is less a single topic and more a multi-disciplinary way of thinking, inquiring and communicating. Individuals do not need to know everything about the field, but teams should be composed of individuals who collectively do. Attending this workshop won't make you a data scientist overnight, but you will learn to be one in time and will have a study plan for moving forward in this field.

Introduction to Machine Learning with Python and TensorFlow

In this workshop, we will take a hands-on approach to machine learning by exploring some real world datasets. First, we'll cover how to load and transform data in Python using Pandas. We'll walk through data preparation, where attendees will learn first-hand how to manipulate, clean, aggregate, and reshape raw data. We'll show several statistical learning techniques, such as linear regression, k-means, and PCA using scikit-learn. Finally we will explore how to set up and train more sophisticated neural networks for image recognition on the cloud using TensorFlow. Attendees will learn the fundamentals of data science and machine learning through short code samples and interactive learning.

Data Analytics with Tableau

In this deep dive full day hand-on workshop, we'll cover: * Theory around data analytics * Practices around data analytics * Applying the above two using a tool like Tableau * Thinking about visualizations and creating them in a tool like Tableau * “real world” use cases and hands-on exercises so attendees can get practice and solidify theory/practices


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Workshop day: November 29

Main conference days: Nov 30 - Dec 22

click to see details

Wednesday November 29th

Thursday November 30th

Time
Room 1
Room 2
Room 3
Room 4
Room 5

08:00
09:00
Conf start and welcome

Pratik Patel

Friday December 1st

Time
Room 1
Room 2
Room 3
Room 4
Room 5

13:00
Deep Learning with Go

Chris Benson

TBD I

Pratik Patel

Living like a model

Daniel Chertok

Hackfest ( 2 hours )

Dave Voyles

16:30

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Speakers




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Location

DataSciCon.Tech will take place in the heart of Atlanta's Technology epicenter, at the Georgia Tech Global Learning Center

Hotel Info


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