Click to learn more about author Manan Ghadawala. Software developers love arguing about which programming language is the best. However, the criterion for what is “best” is confusing. When we discuss software development for the machine learning and data science fields, this question is timeless and will never lose its relevance. Most useful programming languages […]
Levyx and Neueda Partner to Bring Python Into the Modern, Big Data Era
A new press release states, “Levyx Inc., a leading provider of ultra-low latency data processing software that brings high performance to demanding enterprise applications, announced today its partnership with Neueda, the leading-edge data management specialist, to deliver key enterprise enhancements to the Python community. By adding these critical features through the Helium™–Python interface, the parties […]
Credulous Data Science: Part Two – Surveys
Click to learn more about author Steve Miller. This is the Second Part of a two-part series. Read Part One here. About ten years ago, a software vendor with whom my intelligence consulting company partnered conducted a survey on the usage of various analytics platforms that were then prominent in the space. As a proselyte […]
Simplistic and Credulous Data Science: Part One
Click to learn more about author Steve Miller. A few months ago, I was solicited by one of my many LinkedIn Data Science groups to participate in a survey. I’m generally a bit suspicious of surveys, reviewing the questions carefully before making the decision to respond. This initiative, though, posed a question that quite intrigued […]
Nowcasting Chicago Crime with R
Click to learn more about author Steve Miller. In my many years as a data scientist, I’ve spent more time doing forecast work than any other type of predictive modeling. Often as not, the work’s involved forecasting demand for an organization’s many products/lines of business a year or more out based on five or more […]
Fraud Detection Using a Neural Autoencoder
Click to learn more about author Rosaria Silipo. The co-authors of this column were Kathrin Melcher and Maarit Widmann. The Fraud Detection Problem Fraud detection belongs to the more general class of problems — the anomaly detection. Anomaly is a generic, not domain-specific, concept. It refers to any exceptional or unexpected event in the data, […]
Predictions 2019: Data Analytics Trends to Watch
Click to learn more about author Mathias Golombek. Predicting the technology trends that will impact businesses in 2019. Over the years we’ve tracked the changing use of data within business. Every year, data becomes more important, and closer to the heart of successful businesses. We’ve also seen a maturity in how we view data – […]
The Most In-Demand Big Data Skills and for IT and Data Professionals
Click to learn more about author Gilad David Maayan. The World Wide Web has grown to include more than 1.8 billion websites. Of these, about 200 million or less are active. With each passing day, thousands of new sites are added to the mix to intensify the already cutthroat competition. 2017 was a very productive […]
Neural Machine Translation with Sequence to Sequence RNN
Click to learn more about author Rosaria Silipo. The co-authors of this column were Kathrin Melcher and Simon Schmid Automatic machine translation has been a popular subject for machine learning algorithms. After all, if machines can detect topics and understand texts, translation should be just the next step. Machine translation can be seen as a […]
dotData Further Accelerates Data Science Automation with the Launch of dotDataPy
According to a recent press release, “dotData, the first and only company focused on delivering end-to-end data science automation and operationalization for the enterprise, today announced the launch of dotDataPy, a lightweight and scalable Python library that enables advanced users to access dotData’s data science automation functionality, including AI-powered feature engineering and automated machine learning. […]