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Renata Ghisloti Duarte Souza Gra
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  • Chicago, IL
  • United States
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Latest Activity

John Lewis liked Renata Ghisloti Duarte Souza Gra's blog post Getting Started with Regression in R
Aug 28
Estefany Torres and Renata Ghisloti Duarte Souza Gra are now friends
Jul 2
Renata Ghisloti Duarte Souza Gra liked Estefany Torres's blog post 2018 World Cup Predictions using decision trees
Jun 30
Gerardo Rojas liked Renata Ghisloti Duarte Souza Gra's blog post Apache Hadoop Admin Tips and Tricks
May 28
Renata Palladino liked Renata Ghisloti Duarte Souza Gra's blog post Apache Hadoop Admin Tips and Tricks
May 28
Renata Ghisloti Duarte Souza Gra posted a blog post

Apache Hadoop Admin Tips and Tricks

In this post I will share some tips I learned after using the Apache Hadoop environment for some years, and  doing many many workshops and courses. The information here considers Apache Hadoop around version 2.9, but it could definably be extended to other similar versions.These are considerations for when building or using a Hadoop cluster. Some are considerations over the Cloudera distribution. Anyway, hope it helps! Don't use Hadoop for millions of small files. It overloads the namenode and…See More
May 26
Renata Ghisloti Duarte Souza Gra's blog post was featured

Apache Hadoop Admin Tips and Tricks

In this post I will share some tips I learned after using the Apache Hadoop environment for some years, and  doing many many workshops and courses. The information here considers Apache Hadoop around version 2.9, but it could definably be extended to other similar versions.These are considerations for when building or using a Hadoop cluster. Some are considerations over the Cloudera distribution. Anyway, hope it helps! Don't use Hadoop for millions of small files. It overloads the namenode and…See More
May 26
Renata Ghisloti Duarte Souza Gra updated their profile
Nov 10, 2017

Profile Information

Short Bio
Data Scientist at Grubhub.
Experience in Data Mining, Machine Learning, Apache Hadoop and Big Data.
My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/renata-ghisloti-duarte-de-souza-granha-a...
Field of Expertise
Data Science, Machine Learning, AI, Other
Professional Status
Technical
Years of Experience:
7
Your Company:
Grubhub
Your Job Title:
Sr Data Scientist
Interests:
Contributing, Networking
What Other Analytical Website do you Recommend?
http://girlincomputerscience.blogspot.com/

Renata Ghisloti Duarte Souza Gra's Blog

Apache Hadoop Admin Tips and Tricks

Posted on May 24, 2018 at 5:00pm 0 Comments

In this post I will share some tips I learned after using the Apache Hadoop environment for some years, and  doing many many workshops and courses. The information here considers Apache Hadoop around version 2.9, but it could definably be extended to other similar versions.

These are considerations for when building or using a Hadoop cluster. Some are considerations over the Cloudera distribution. Anyway, hope it…

Continue

Dummy errors when using neuralnet package in R

Posted on August 2, 2017 at 10:30am 0 Comments

Ok, so you read a bunch of stuff on how to do Neural Networks and how many layers or nodes you should add, and etc... But when you start to implement the actual Neural Network you face a ton of dummy errors that stop your beautiful inspirational programming.



This post talks about some errors you might face when using the neuralnet package in R.…



Continue

Getting Started with Regression in R

Posted on December 27, 2016 at 10:00am 0 Comments

Regressions are widely used to estimate relations between variables or predict future values for a certain dataset.

If you want to know how much of variable "x" interferes with…

Continue

SVM in Practice

Posted on December 18, 2015 at 5:00pm 0 Comments

Many Machine Learning articles and papers describe the wonders of the Support Vector Machine (SVM) algorithm. Nevertheless, when using it on real data trying to obtain a high accuracy classification, I stumbled upon several issues.

I will try to describe the steps I took to make the algorithm work in practice.



This model was implemented…

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