As part of Data Day Texas 2018, we have asked several of the speakers to come a day early and offer workshops. These are standalone workshops separate from Data Day Seattle. You do not have to have a ticket to Data Day, in order to sign up for these workshops. We are well familiar with the instructors for these workshops and endorse them without reservation.

Available Workshops

Hands-on Machine Learning / Deep Learning Apps using AWS/Keras/TensorFlow
Data Science With Neo4j
Full Stack Application Development With The GRANDstack
Hands-on Introduction to NLP with TensorFlow (SOLD OUT)

Hands-on Machine Learning / Deep Learning Apps using AWS/Keras/TensorFlow

This workshop covers setting up AWS EC2 account for machine learning/deep learning applications and use state-of- the-art machine learning and deep learning methods for object detection and image classification. This workshop introduces you to the main concepts in machine learning and you will learn how you can solve object detection and image classification problems using machine learning. In this workshop, you will also learn the fundamentals of deep learning and how to train and evaluate a deep fully connected model.

Tools/Languages/Environment:
o AWS EC2 with Linux OS
o Python (scikit-learn, pandas, numpy)
o Tensorflow with Keras

Curriculum details:
o Setup AWS EC2 Machine – 30 minutes
o Review of machine learning methods (Logistic Regression, SVMs, Random Forests) – 30 minutes
o Application of machine learning methods for Handwritten Digit Classification (MNIST Database) – 30 minutes
o Build and evaluate machine learning models with scikit-learn
o Review how neural networks work and backpropagation – 30 minutes
o Single Perceptron and Multi-Layer Perceptron Method for Handwritten Digit Classification – 30 minutes
o Deep Learning Architectures (Convolutional Neural Network) – 30 minutes
o Build, train and evaluate a deep fully connected model for handwritten Digit Classification – 30 minutes
o Fine-tune famous publically available deep learning models for handwritten Digit Classification (Inception, Resnet, etc.) – 30 minutes

Prerequisite:
Previous experience programming in python is advised to make best use of the workshop

This class will be taught by Qazaleh Mirsharif and Humayun Irshad of CrowdFlower.
Full details and registration info at Eventbrite

Data Science With Neo4j

Although Neo4j is often using by application developers, there's a growing trend of data scientists using graphs to help with their work.
In this session we'll look at how to combine Neo4j and the Cypher query language with the Python data science stack including libraries such as Pandas and matplotlib.
We'll look at how to do exploratory data analysis as well as find insights into networked datasets using the newly released graph algorithms package through the use of hands on tutorials. We’ll start with an overview of the property graph data model and an introduction to Cypher, the query language for graphs, then quickly move on to using graph algorithms like centrality and community detection to help make sense of data. Finally, we’ll explore how to connect Neo4j to the Python data science stack, using Pandas, matplotlib and Python NLP tools.
This class will be taught by William Lyon and Ryan Boyd of Neo4j - You can't ask for a better pair of teachers for this class.
Full details and registration info

Full Stack Application Development With The GRANDstack

(GraphQL, React, Apollo, Neo4j Database)
In this workshop, we explore full stack application development using the GRANDstack (GraphQL, React, Apollo, and Neo4j Database) for building web applications backed by a graph database. During this workshop we will build a simple movie recommendation web application . We'll cover how to build a React component, an introduction to JSX, an overview of GraphQL, how to build a GraphQL service, and why it is a game-changer for front-end development, and we'll learn how to model, store, and query data in Neo4j using GraphQL and Cypher to power our web application. This workshop will be a hands on series of three modules, together building the components for a full stack web app: 1. Querying Neo4j for movie recommendations 2. Building a GraphQL service backed by Neo4j 3. Building and connecting a React frontend to a GraphQL service using Apollo Client Materials for the workshop can be found here: https://github.com/grand-stack/grand-stack-movies-workshop
Full details and registration info
This class will be taught by William Lyon and Ryan Boyd of Neo4j - You can't ask for a better pair of teachers for this class.
Full details and registration info

Hands-on Introduction to NLP with TensorFlow

This class will teach you how to do natural language processing with deep learning in TensorFlow. We will start at the beginning with getting TensorFlow running on simple computations. We will explore the structure of the TensorFlow GitHub code so that you can understand it right from the source. From this beginning, we will explore applications such as learning word vectors, language models with recurrent neural networks, and text classification with convolutional neural networks. We will also cover a codebase that allows you to create powerful sequence-to-sequence models for machine translation and other tasks. And we will introduce the tensor2tensor codebase, which is a powerful generalization on the sequence-to-sequence framework. In addition to covering TensorFlow, we will teach you how to use TensorBoard to visualize both your computations and results.
Full details and registration info