How Data Science Teams Can Succeed at Machine Learning at Enterprise Scale
|June 13, 2019
Machine learning is much more than a buzzword — it’s a type of data analysis that can empower many businesses to develop more accurate and…
Using Qubole Notebooks to Predict Future Sales with PySpark
|May 21, 2019
This notebook will walk you through the process of building and using a time-series analysis model to forecast future sales from historical sales data. In…
Nauto Rethinks Safe Driving with an AI-Powered Platform that Relies on Qubole
|April 23, 2019
If ever a problem and a solution were made for each other, it’s autonomous driving and artificial intelligence (AI). Turning the dream of driverless cars…
Sentiment Analysis Using Word2Vec and Deep Learning with Apache Spark on Qubole
|April 18, 2019
This post covers the use of Qubole, Zeppelin, PySpark, and H2O PySparkling to develop a sentiment analysis model capable of providing real-time alerts on customer…
Top 5 Reasons to Move Enterprise Data Science Off the Laptop and to the Cloud
|March 12, 2019
A version of this post first appeared on Infoworld. We live in a world that is inundated with data. Data science and machine learning (ML)…
How to Increase Your Big Data Value with Apache Spark on Qubole
|October 23, 2018
If big data frameworks had a popularity contest, Apache Spark would be the attractive, trendy option everyone wants to be seen with. First developed at…
Deep Learning: The Latest Trend in AI and ML
|August 3, 2018
In this blog post, we will talk about deep learning (DL) in relation to data science: its use and business implications. We will then give an…
You Need a Cloud-Native Platform to Succeed with Big Data
|July 25, 2018
A recent article from McKinsey claimed that on average only 15 percent of big data projects meet expectations. For all the promise that big data…
Success with Predictive Analytics—Getting the Basics Right
|June 5, 2018
Data has been deemed the oil that will fuel the next industrial revolution. Enterprises have the opportunity to leverage data at their disposal, be it…
