Go Data Driven BLOG!

Welcome to the Go Data Driven BLOG.

This is the place where we share our knowledge and opinions. We will try to post new content regularly.
Enjoy,the GoDataDriven team.

"I Pity the fool", Deep Learning style

05 Nov

With deep learning applications blossoming, it is important to understand what makes these models tick. Here I demonstrate, using simple and reproducible examples, how and why deep neural networks can be easily fooled. I also discuss potential solutions.

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GoDataDriven open source contribution: October 2017 edition

19 Oct

Welcome to the Open Source at GoDataDriven, Hacktoberfest 2017 edition.

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GoDataDriven open source contribution: September 2017 edition

30 Sep

Welcome to the Open Source at GoDataDriven, September 2017 edition. This is the *it's-not-funny-when-he-does-it* edition.

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What the GDPR opens up for you!

29 Sep

In a landscape where scaremongering is the obvious thing to do, I talk about the possibilities the GDPR opens up

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How European Organizations Increase Their Innovation Speed with Smart Data Applications

20 Sep

Over 800 professionals shared their insights and experiences on topics like data strategy, implementing data science, technology, cloud, gdpr, and how to become attractive as an employer. In this article we share some of the key highlights of the results.

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GoDataDriven open source contribution: August 2017 edition

08 Sep

Welcome to the Open Source at GoDataDriven, August 2017 Edition. We're late! We know

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Solve Gcloud Terraform authentication issues

08 Sep

In this blog, I want to show an issue we encountered at a customer while working with Google Cloud and Terraform. We discovered that the Google SDK is having two different active logins. That is not completely clear at first sight.

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Monitoring Kafka Consumer Offsets

27 Aug

Keep track of current and past Kafka consumer offset lag to see if your application is keeping up.

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Machine Learning Application Skeleton

23 Aug

The need of the business to interact and understand the output from custom built machine learning models is increasing, here I provide an application skeleton to do just that with your Python made models.

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