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Wednesday, December 13, 2017

Hitachi in Santa Clara, California


Last week I had the great opportunity to visit Hitachi in Santa Clara, California.

H2O World 2017 RECAP and Intro to AutoML + Hands-on Lab by Erin LeDell


Last week I was in California to attend H20 World 2017.

Thank you, H2O Team for the invite.

The event was great!!! My main focus was in the AutoML talk from Erin LeDell and I want to share this talk here on my blog.

Intro to AutoML + Hands-on Lab - Erin LeDell, Machine Learning Scientist,

Pentaho World 2017 RECAP

Pentaho folks,

All Pentaho World 2017 videos and slides are available here:

My talks:
  • Automated Machine Learning (AutoML) and Pentaho
  • Network Rail: Predicting the Result of Incidents with Big Data and Data Science (w/ Anya and Michael)

My Hands-on training:
  • Hands-on Training: Tackling Data Science Challenges with PDI (w/ James)

Some pics:


Pentaho folks,

I am traveling to a lot of places in the world in the last weeks, so I did not have time to write about PCM17.

For now, I just want to keep a record of some great blog posts about PCM17.

Hitachi Vantara:

Community blogs:

Below you can see my talk about "Working with Automated Machine Learning (AutoML) and Pentaho".

Group picture!!! 

The event was amazing!!! 

Thursday, November 16, 2017

PCM17: Using a BI tool to improve the management of health data in Mozambique

I am very happy to see this presentation from my friend Devan Manharlal | Health Information Systems Senior Specialist at Jhpiego

In my 11 years working with Pentaho, going to Mozambique to work with Devan and his team was one of the best moments of my life. I miss the food and the people in Mozambique. Thank you Devan, Dra. Beatriz and Jhpiego.

Wednesday, November 08, 2017

This Saturday, November 11 at 3:10 PM at #PCM17 I will speak about Working with Automated Machine Learning (AutoML) and Pentaho.

This Saturday, November 11 at 3:10 PM at #PCM17 I will speak about Working with Automated Machine Learning (AutoML) and Pentaho. 

Friday, October 20, 2017

Pentaho World is next week!!! See you in Orlando!!!

Nos dias 26 e 27 de Outubro de 2017, apresentarei duas palestras e ministrarei dois cursos no Pentaho World.

Todos que me conhecem sabem da minha dedicação ao Pentaho nesses últimos 11 anos, e participar de mais um Pentaho World é um grande privilégio e responsabilidade.

Até lá, nos vemos em Orlando.

On the days 26th and 27th of October 2017, I will present two lectures and teach two courses at Pentaho World.

More details:

Everyone who knows me knows of my dedication to Pentaho in the last 11 years, and to participate in another Pentaho World is a great privilege and responsibility.

Until then, I'll see you in Orlando.

En los días 26 y 27 de octubre de 2017, presentaré dos charlas y dos cursos en el Pentaho World.

Más detalles:

Todos que me conocen saben de mi dedicación al Pentaho en estos últimos 11 años, y participar de otro Pentaho World es un gran privilegio y responsabilidad.

Hasta entonces, nos vemos en Orlando.

Wednesday, July 26, 2017

Are you thinking about Cyber security?

Below there are some public videos about Cyber Security that we should watch:

Saturday, July 01, 2017

Installing Tensorflow in R

Hi Folks,

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

How to install Tensorflow in R

# Need Yaml to install Tensorflow in R

# Install Tensorflow in R



How to test it

sess = tf$Session()
hello <- constant="" div="" ello="" tensorflow="" tf="">