Category: Data Science

Author: mtdearing In this fourth and final part of the ultralearning data science series, it’s time to take the final steps toward developing a deep […] Read More

Author: Stephanie Glen Business intelligence is an umbrella term covering a variety of ways to collect, store and analyze business operations and activities data. This […] Read More

Author: mtdearing Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn […] Read More

Author: Capri Granville The picture below is from the article Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey, posted here. […] Read More

Author: ajit jaokar You can always learn a lot from the papers presented at NeurIPS There is some good analysis already on the web. From […] Read More

Author: Gregory Piatetsky KDnuggets is not only for learning about AI, Data Science, and Machine Learning. A KDnuggets cartoon has been included in an English […] Read More

Author: Stephanie Glen Predictive analytics, prescriptive analytics and the fairly recent offshoot– discovery analytics– can all support business decision making. Although the three tools are […] Read More

Author: mtdearing Learn why data catalogs could be just the thing you need to meet the challenges of data and metadata management and collaboration. Go […] Read More

Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More

Author: Stephanie Glen Predictive analytics is a wide field of techniques that share a common goal of predicting future behavior. Choosing the right prediction modeling […] Read More