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Image Segmentation Algorithms With Implementation in Python – An Intuitive Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is Image Segmentation? Image Segmentation helps to obtain the region of interest (ROI) from the image. It is the process of separating an image into different areas. The parts into which the image is divided are called Image Objects. It is done based […].

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

AMPs are produced by Cloudera Fast Forward Labs, a team of ML/AI Research Engineers focused on making the recently possible in machine learning practical and usable by business today. CFFL has published almost two dozen research reports, each accompanied by detailed prototypes demonstrating the capabilities they report on. Stay tuned!

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What you need to know about product management for AI

O'Reilly on Data

You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. It may even be faster to launch this new recommender system, because the Disney data team has access to published research describing what worked for other teams.

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PODCAST: Making AI Real – Episode 5: Debunking AI Myths

bridgei2i

He has published over eight papers on computer vision. And I still have to come to terms with the fact that he had published his first paper on machine learning when I was in the seventh standard. But does nobody really understand how deep learning actually works? Divyansh: Absolutely.

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Amazon Redshift: Lower price, higher performance

AWS Big Data

Read on to understand why price-performance matters and how Amazon Redshift price-performance is a measure of how much it costs to get a particular level of workload performance, namely performance ROI (return on investment). Aamer Shah is a Senior Engineer in the Amazon Redshift Service team.

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Introducing watsonx: The future of AI for business

IBM Big Data Hub

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. This results in both increased ROI and much faster time to market. Today is a revolutionary moment for Artificial Intelligence (AI).

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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

We had big surprises at several turns and have subsequently published a series of reports. O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). The data types used in deep learning are interesting. One-fifth use reinforcement learning.