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Tag: Machine Learning

Insights Beyond the Bedside: Machine Learning for Healthcare Administration, Utilization, and Cost (AUC)
In this special guest feature, Corinne Stroum, Director of Product for Utilization and Cost at KenSci, discusses how healthcare’s migration to electronic medical records in the early 2010s heralded an age of promise: increased efficiency, an opportunity to understand disease and populations at scale, and a reduction in errors. Like …
Modernizing Risk Management Part 2: Aggregations, Backtesting at Scale and Introducing Alternative Data
Understanding and mitigating risk is at the forefront of any financial services institution. However, as previously discussed in the first blog of this two-part series, banks today are still struggling to keep up with the emerging risks and threats facing their business. Plagued by the limitations of on-premises infrastructure and …
How the Minnesota Twins Scaled Pitch Scenario Analysis to Measure Player Performance – Part 1
Statistical Analysis in the Game of Baseball A single pitch in Major League Baseball (MLB) generates tens of megabytes of data, from pitch movement to ball rotation to hitter behavior to the movement of each individual baseball player in response to a hit. How do you derive actionable insights from …
Customer Lifetime Value Part 1: Estimating Customer Lifetimes
NOTEBOOK LINK HERE The biggest challenge every marketer faces is how to best spend money to profitably grow their brand. We want to spend our marketing dollars on activities that attract the best customers, while avoiding spending on unprofitable customers or on activities that erode brand equity. Too often, marketers …
TOP 10 insideBIGDATA Articles for May 2020
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features …
Monitor Your Databricks Workspace with Audit Logs
Cloud computing has fundamentally changed how companies operate – users are no longer subject to the restrictions of on-premises hardware deployments such as physical limits of resources and onerous environment upgrade processes. With the convenience and flexibility of cloud services comes challenges on how to properly monitor how your users …
Big Data/COVID-19 News – 6/1/2020
The big data ecosystem has come out strong to help combat the global coronavirus pandemic by announcing new products and services to help fight COVID-19. In this article, I’ve listed a number of the recent announcements along these lines. Kudos to all the vendors listed below, you may just make …
Research Highlights: MIDAS – Real-time Anomaly/Fake News/Intrusion Detection
In the insideBIGDATA Research Highlights column we take a look at new and upcoming results from the research community for data science, machine learning, AI and deep learning. Our readers need to get a glimpse for technology coming down the pipeline that will make their efforts more strategic and competitive. …
Lucidworks Announces Advanced Linguistics Package to Improve Search Precision for Global Companies Serving Asian, European, and Middle Eastern Markets
Lucidworks, leader in AI-powered search, announced the Advanced Linguistics Package for Lucidworks Fusion to power personalized search for users in Asian, European, and Middle Eastern markets. Lucidworks now embeds text analytics from Basis Technology, a leading provider of AI for natural language processing. With the Advanced Linguistics Package, global organizations …
Default Predictability with Lending Club
Introduction Lending Club is a peer to peer lending company based in the United States, in which investors provide funds for potential borrowers and investors in order to earn a profit depending on the risk they take (the borrowers credit score). Lending Club provides is the platform that bridges investors …
You don’t need data science staff to build your machine learning infrastructure
How can you make sure you’re building your machine learning infrastructure the right way? You’d be surprised to learn that you don’t need to have a full data science staff at hand. Machine learning has gone from buzzword to business necessity, and implementing it is quickly becoming mandatory. However, it …
Modernizing Risk Management Part 1: Streaming data-ingestion, rapid model development and Monte-Carlo Simulations at Scale
Managing risk within the financial services, especially within the banking sector, has increased in complexity over the past several years. First, new frameworks (such as FRTB) are being introduced that potentially require tremendous computing power and an ability to analyze years of historical data. At the same, regulators are demanding …
NanoNeuron - 7 simple JS functions that explain how machines learn
7 simple JavaScript functions that will give you a feeling of how machines can actually "learn".
MLOps takes center stage at Spark + AI Summit
As companies ramp up machine learning, the growth in the number of models they have under development begins to impact their set of tools, processes and infrastructure. Machine learning involves data and data pipelines, model training and tuning (i.e., experiments), governance, and specialized tools for deployment, monitoring and observability. About …
A Computational Analysis of Constitutional Polarization
A new paper, "A Computational Analysis of Constitutional Polarization" by Columbia Law School's David Pozen and Eric Talley found that the U.S. Constitution has come to enable, or even exacerbate, partisan strife. The researchers recently examined the evolution of constitutional rhetoric on the floor of Congress from 1873 to 2016.
The Top Five Data Analytics Gripes, and How We Could Fix Them
In this special guest feature, Geoff Tudor, VP and GM of Vizion.ai, offers five key business issues enterprises are facing, and then how we can resolve them. Older technology is not driving but draining the enterprise, failing to deliver on the initial promise of analytics. However, if the layers are …
Deconstructing Natural Language Generation
In this contributed article, editorial consultant Jelani Harper discusses how Natural Language Generation (NLG) is rapidly becoming one of the most desired capabilities in the Natural Language Processing stack. The article aligns with a discussion with Arria NLG CEO Sharon Daniels.
“Above the Trend Line” – Your Industry Rumor Central for 5/21/2020
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the …