GANs in TensorFlow from the Command Line: Creating Your First GitHub Project

[unable to retrieve full-text content]In this article I will present the steps to create your first GitHub Project. I will use as an example Generative Adversarial Networks.
Original Post: GANs in TensorFlow from the Command Line: Creating Your First GitHub Project

Jupyter Notebook for Beginners: A Tutorial

[unable to retrieve full-text content]The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects. Although it is possible to use many different programming languages within Jupyter Notebooks, this article will focus on Python as it is the most common use case.
Original Post: Jupyter Notebook for Beginners: A Tutorial

Natural Language Processing Library for Apache Spark – free to use

[unable to retrieve full-text content]Introducing the Natural Language Processing Library for Apache Spark – and yes, you can actually use it for free! This post will give you a great overview of John Snow Labs NLP Library for Apache Spark.
Original Post: Natural Language Processing Library for Apache Spark – free to use

Deep Learning Zero to One: 5 Awe-Inspiring Demos with Code for Beginners, part 2

[unable to retrieve full-text content]Here are deep learning examples and demos you can just download and run, including Spotify Artist Search using Speech APIs, Symbolic AI Speech Recognition, and Algorithmia API Photo Colorizer.
Original Post: Deep Learning Zero to One: 5 Awe-Inspiring Demos with Code for Beginners, part 2

Pitfalls in pseudo-random number sampling at scale with Apache Spark

[unable to retrieve full-text content]Large scale simulation of random number generation is possible with today’s high speed & scalable distributed computing frameworks. Let’s understand how it can be achieved using Apache Spark.
Original Post: Pitfalls in pseudo-random number sampling at scale with Apache Spark

K-means Clustering with Tableau – Call Detail Records Example

[unable to retrieve full-text content]We show how to use Tableau 10 clustering feature to create statistically-based segments that provide insights about similarities in different groups and performance of the groups when compared to each other.
Original Post: K-means Clustering with Tableau – Call Detail Records Example