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The Math Behind Machine Learning

Machine learning is a wildly popular field of technology that is being used by data scientists around the globe. Mastering machine learning can be achieved via many avenues of study, but one arguably necessary ingredient to success is a fundamental understanding of the mathematics behind the algorithms. Some data scientists-in-training often try to take a […]

Introduction to Statistical Analysis and Outlier Detection Methods

Our friends over at Noah Data have written a research style paper, Introduction to Statistical Analysis and Outlier Detection Methods, that discusses how statistical data can generally be classified in terms of number of variables as Univariate, Bivariate or Multivariate. Univariate data has only one variable, Bivariate data has two variables and Multivariate data has […]

Machine Learning in Energy: A Hot Spot in Seismic Processing

Artificial intelligence and machine learning, based on widely available hardware and novel software techniques, give energy exploration companies the confidence to pinpoint drilling locations, resulting in lower costs.  Download the new special report, courtesy of Dell EMC and Nvidia, to learn how HPC technology is being used for energy exploration, ranging from drilling and well completion to modeling oil-refining strategies. 

SpotIQ AI-Driven Analytics: Architecting Automated Insights for the Masses

SpotIQ AI-driven analytics automatically uncover answers to questions business people may not have known to ask. Powering SpotIQ is a new breed of analytics architecture and in-memory calculation engine that was built from the ground up for speed at scale on billions of rows of data across multiple data sources. Download the new white paper, courtesy of ThoughtSpot, that explores how with SpotIQ AI-drive analytics, you now have the power of a thousand analysts in your hand.

Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing

There is a lot of excitement in the market about artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Overall, one thing is clear—organizations that are utilizing these technologies now are gaining value. Download the new TDWI Best Practices Report, courtesy of SAS, to learn more about the latest innovations in advanced analytics. 

Data-Efficient Machine Learning

From Quadrant (a D-Wave business), this whitepaper describes a practical impediment to the application of deep neural  network models when large training data sets are unavailable. Encouragingly however, it is shown that recent machine learning advances make it possible to obtain the benefits of deep neural networks by making more efficient use of training data […]

Surface Reconstruction Based on Neural Networks

Surface reconstruction is an important trend in 3D scanning. The problem is to recreate surfaces from a given point cloud within the shortest possible time and with a given quality criteria. There is a set of different approaches for solving this problem, which includes Self-Organized Maps, Bayesian reconstruction and Poisson reconstruction. The aim of the […]

Data Analytics, Algorithms & Machine Learning – Online Survey

This report, “Data Analytics, Algorithms & Machine Learning – Online Survey,” was produced by Informa Engage on behalf of Dell EMC. The data was collected March 8, through March 26, 2018 from a wide cross section of industries. The goal was to investigate various issues around the current and future use of use of analytics, […]

Statistics and Machine Learning at Scale: New Technologies Apply Machine Learning to Big Data

In a new white paper, based on presentations given over the last few years. Wayne Thompson, Manager of Data Science Technologies at SAS, introduces key machine learning concepts, explains the correlation between statistics and machine learning, and describes SAS solutions that enable machine learning at scale. Download the report to lean more about how new machine learning technologies are being applied to big data.

Reinventing the Retail Industry Through Machine and Deep Learning

Today, deep learning techniques are poised to disrupt the retail industry. As artificial neural networks become more and more efficient, and as graphics processing units get more and more powerful, so does their influence on retail. Download the new insideBIGDATA special report, courtesy of Dell and NIVIDA, to learn more about how machine and deep learning is revolutionizing the retail industry.