Intro to Deep Learning with Brandon Rohrer

This one-day workshop dives deep. Brandon Rohrer, who is known for his machine learning courses online, will blend lecture and hands-on exercises to teach the basics of deep learning. Upon completion, you’ll be able to start experimenting with deep neural networks of your own.

NLP for Business Applications

This workshop will focus on introducing the Natural Language Processing (NLP) for Business Applications. It will cover unsupervised, semi-supervised, and deep learning for NLP.

Deep Learning for Computer Vision

This workshop will focus on explaining the important deep learning algorithms for computer vision.

Building Large Scale Machine Learning on GPUs using RAPIDS (NVIDIA)

​

Data Science using Python

The plan is to talk about the importance of Data-driven decision and will use DecisionsFirst for the demo after that we will cover Data Science intro and we will use Machine learning to solve the decision we developed using DecisionsFirst.

Smart Search with Apache Solr

Learn how to add highly-relevant search to your application from Trey Grainger, the co-author of the book Solr in Action and recognized industry expert in building smart search solutions. We will approach learning Solr from a capabilities and relevancy standpoint that is ideally suited for data scientists and application developers looking to implement intelligent features in their software (keyword matching, personalized search, recommendations, semantic search, smart autocomplete, etc.).

Apache Spark/Spark MLib Workshop

The Data Science with Apache Spark workshop will show how to use Apache Spark to perform exploratory data analysis (EDA), develop machine learning pipelines, and use the APIs and algorithms available in the Spark MLlib DataFrames API. It is designed for software developers, data analysts, data engineers, and data scientists.

Data Analytics with Tableau

This workshop provides a deep dive into visual data discovery using Tableau software. It will explore how to use Tableau to connect to, interpret, and analyze data. You will explore sample data sets and then create a Tableau Dashboard showcasing the insights they have discovered.