01 _Building Effective Software Communities

Bryan Cross
GLOBANT, calle 10 #32b-25 office 127c | SEPT 17TH | 9AM

When working with internal employees, consultants and contractors, it can be difficult to find a workflow that enables ws teams to work effectively. This workshop shows us how establishing non-competitive communities will allow for better communication and deliver better results. We will speak about the benefits of community and the impact it has around automation, quality and collaboration. During this session we will walk through some sample community structures that maintain a healthy culture inside the organization.

02 _Your first facial recognition app with Amazon Rekognition

JAVIER CRISTANCHO
GLOBANT, calle 10 #32b-25 office 127c | SEPT 17TH | 10AM

Curious about how Amazon has been working on Machine Learning Services and which services can easily be added to your organization? This workshop intents to give a broad overview of the Amazon Web Services, specifically Amazon Rekognition. During this workshop we will guide you through AWS and APIs of Amazon Rekognition, in order that you learn about the functionalities of the services and discover how it can help you with future developments within the organization and customers.

Software requested: Linux or macOS, Windows (optional), Firefox browser
and access to terminal or PuTTY Windows

03 _Recommendation Systems: A practical approach

Andres Tenorio
GLOBANT, calle 10 #32b-25 office 127c | SEPT 17TH | 11AM

As a result of the rapid growth, we are continuously overwhelmed by the number of choices in products or services. Recommender systems are machine learning techniques based on statistics, algorithms, and computer science that predict user preferences, where the main goal is to provide suggestions to users to help discern from the many alternatives available over a website. The workshop centers around the practical use of tools needed to build recommendation systems applying machine learning.

Software requested: Virtualbox, Python, Scikit learn, Surprise, Mrec, Scipy,
python-recsys, Numpy, Flask

04 _From NLP to deep NLP with Tensorflow: Word Embedding

Pablo PÉrez Quevedo
GLOBANT, calle 10 #32b-25 office 127c | SEPT 18TH | 18.30hs

Many of us have been wondering about the power of deep learning on different applications. Nonetheless, there are two main categories in which deep learning has the right place, i.e. object recognition and prediction. By object, it can be broadly defined but with deep learning we only face up against three types of objects: audio, images and text. Text is a kind of cumbersome data in which few of us would like to work on.

Software requested: Linux-based OS (Ubuntu), Anaconda, Python 3.5,
Required python packages, Tensorflow, Numpy, Scipy, Scikit-learn, Pandas,
nltk, matplotlib, jupyter notebook, jupyter lab

05 _Ideating for Human Beings*

Jorge Uribe
Selina, Cra. 32d ##9 - 17 | SEPT 19th | 18.30hs

A methodology used to define y solve problems in a creative way, by emphasizing in the real understanding of a problem by approaching it from different people perspectives. It can be applied to the ideation of new products or services.

Limited Seats