How Data Science Teams Can Succeed at Machine Learning at Enterprise Scale
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…
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…
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…
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…
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…
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)…
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…
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…
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…
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…
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