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Winning Solutions and Approaches from the Machine Learning Hikeathon: Feature Engineering Special!

Analytics Vidhya

The post Winning Solutions and Approaches from the Machine Learning Hikeathon: Feature Engineering Special! Introduction 90-95% of the times we find ourselves working with tabular data in machine learning. That number jumps up even more in machine learning. appeared first on Analytics Vidhya.

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Top 5 Winning Solutions and Approaches from AmExpert 2019 – Feature Engineering Special!

Analytics Vidhya

The post Top 5 Winning Solutions and Approaches from AmExpert 2019 – Feature Engineering Special! Overview Presenting the top five winning solutions and approaches from the AmExpert 2019 hackathon The problem statement was from the retail industry and geared. appeared first on Analytics Vidhya.

Analytics 176
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Google’s Specialized Vector Embedding Tools for Dermatology and Pathology Research in Healthcare

Data Science Dojo

In this blog, we will explore Google’s recent development of specialized embedding tools that particularly focus on promoting research in the fields of dermatology and pathology. A vector embedding tool processes input data by analyzing it and identifying key features of interest.

ML 195
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The Elements of Hyperautomation and How It Fits into a Modern IT Stack

insideBIGDATA

In this special guest feature, Robert Duffner, digital portfolio leader for NTT DATA's Enterprise Application Services, outlines what hyperautomation is and how to determine if it is a fit for your organization.

Big Data 446
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How Do Low-Code Developers Increase Business Value?

insideBIGDATA

In this special guest feature, Amy Groden-Morrison, VP of Marketing and Sales Operation for Alpha Software, examines the business value low-code developers offer and the challenges low-code development solves. However, prominent research suggests quite the contrary.

Big Data 416
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The Commoditization of Models Will Fuel The Next Generation of AI-Native Startups

insideBIGDATA

In this special guest feature, CTO of AI startup, OctoML, Jared Roesch, believes the result of the commoditization of models is that it will fuel AI-Native experiences that transform how we interact with technology at every level.

AI 395
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Edge Computing 101: Understanding the 5 Different Types of Edge Solutions

insideBIGDATA

In this special guest feature, Wayne Carter, VP Engineering of Couchbase, discusses the current state of edge computing, while digging into the different types of edge (including micro edge, mini edge, medium edge, heavy edge and multi-access) and when it makes sense to use them.

Big Data 418