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insideBIGDATA Latest News – 6/16/2021

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.

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

Video Highlights: Supercharging our Data Scientists’ Productivity at Netflix

In this talk sponsored by Tecton, Jan Forjanczyk, Senior Data Scientist, Netflix and Ravi Kiran Chirravuri, Software Engineer, Netflix, working in Content Demand Modeling, present one of the challenges that they faced earlier this year. This is used as a backdrop to present the human-centric design principles that govern the design of Metaflow and its internals.

“Above the Trend Line” – Your Industry Rumor Central for 6/4/2021

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.

TOP 10 insideBIGDATA Articles for May 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.

insideBIGDATA Latest News – 6/1/2021

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.

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

Video Highlights: Generalized Additive Models – Allowing for some wiggle room in your models

In this video presentation, we’ll unpack GAMs as an extension of generalized linear models, learn about the role of splines in these models, and explore the many choices available to define and fit these models. We’ll be using data on traffic stops to investigate racially-biased policing in South Carolina as a motivating example, and we’ll get a chance to try out the related R code so that you have the basic tools needed to try out GAMs in your own research context.

“Above the Trend Line” – Your Industry Rumor Central for 5/14/2021

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.

The Quest for Objective Truth: Evolving from Opinions to Facts Using Machine Learning in Real Estate

In this contributed article, Anand Singh, a Senior Leader of Big Data Platform & Solutions at CoreLogic®, discusses how successfully drawing relevant conclusions from data requires human opinions and judgments to be accounted for and then suppressed through ML. Even as AI advances to recognize human emotions, this is one area where innovation may fare better without them.