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“Above the Trend Line” – Your Industry Rumor Central for 1/17/2022

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 big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Book Review: Modern Data Science with R, 2nd Edition

There’s good reason why the word “modern” is in the title of this new title from CRC Press: “Modern Data Science with R, 2nd,” by 3 professors Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton – the goal of the text is to provide a solid guide for state-of-the-art data science with the […]

Heard on the Street – 1/12/2022

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Video Highlights: MLDataR – a Data Package for Supervised Machine Learning in R

The video presentation below is courtesy of Gary Hutson, regarding a new R package he launched recently on CRAN to provide example ML data sets for supervised machine learning problems. The data sets have examples in healthcare, but he plans to widen to include other types of data.

The insideBIGDATA IMPACT 50 List for Q1 2022

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, […]

Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2021

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

TOP 10 insideBIGDATA Articles for December 2021

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 flowing across our many channels.

Video Highlights: Time Series Analysis with Pandas

The topic “Time Series Analysis with Pandas” was presented by Joshua Malina, former Data Scientist at American Express, held at the 2019 Data Science Salon event in Miami. In his talk, Joshua explains how American Express utilizes Pandas for the analysis and manipulation of big amounts of time series data in an easy, flexible and powerful way.

Decentralized Storage Removes the Headache from Data Backups

In this contributed article, John Gleeson, COO of Storj, discusses how decentralized cloud storage (DCS) brings the best parts of both major centralized providers (highly performant, accessible, little downtime, simplicity) with the best parts of backup providers, like Wasabi and Backblaze.

insideBIGDATA Latest News – 12/28/2021

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.