Click to learn more about author Steve Miller. In these highly-polarized political times, there seems no shortage of untruthful claims/boasts by the nation’s leaders. Alas, many citizens are highly credulous, blithely accepting the veracity of any statements from their tribes. At the same time, there are plenty of evidence-based skeptics who demand data before accepting […]
Data Modeling Trends in 2019
IT technologies are rapidly changing our lives. Whether it’s your daily grocery purchase, monthly bill payments, booking railway tickets, or receiving online healthcare consultation, data technologies have penetrated every business model, large, medium, or small. Recent cloud platforms, coupled with Big Data and IoT technologies, have ushered in a new era of “smart technologies” powered […]
Making Machine Learning Datasets Unbiased
Click to learn more about authors Dmitry Pozdnyakov and Olga Ezzheva Machine Learning (ML), a subset of a broader Artificial Intelligence (AI) field, is finding its way into more and more areas of application. From smarter shopping recommendations to better medical diagnosis to more effective fraud detection, businesses are leaning on ML to inject new […]
H2O.ai Advances Leading Data Science and Machine Learning Platforms
A new press release reports, “H2O.ai, the open source leader in AI and ML, today announced new and innovative capabilities for its data science and machine learning platforms, H2O, AutoML and H2O Driverless AI, to address the critical scalability and performance needs of all organizations. As part of these new capabilities, and to further the […]
Data Science in 90 Seconds: kNN
Click to learn more about video blogger Laura Kahn. This is Lesson 11 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]
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. […]
Homicide and Violent Crime in Chicago, 2018 – Barely
This is my 4th article on crime in Chicago for DATAVERSITY. A combination of several factors piqued my interest in Chicago crime two years ago. First was the availability of detailed crime data from the city. Until two weeks ago, the data were posted daily a week in arrears. Now it appears that updates will […]
Predictions for Big Data Analytics in 2019
Click to learn more about author James Kobielus. Big Data Analytics has been one of the dominant tech trends of this decade, and it’s also been one of the most dynamic and innovative segments of the IT market. Today’s Big Data Analytics market is quite different from the industry of even a few years ago, and […]
Data Science Trends in 2019
When it comes to major Data Science trends to watch in 2019, the co-founder and CEO of Kaggle, Anthony Goldbloom, has predicted that very soon Data Centers will be replaced by departmental or business-specific Data Science teams. As discussed in Data Science Trends in 2018, last year’s major trends continued from 2017 as the growth […]
The Realities of Machine Learning for the Benefit of Tech Leaders
Click to learn more about author Tyler Warden. In the cycle of technology buzzwords, Artificial Intelligence (AI) and Machine Learning have become part of the regular vernacular used to make technology seem more relevant, modern and innovative. In reality, these tools can either make solutions better or complicate and frustrate well working processes. In order […]