4 Ways Startups Can Overcome Implementation Challenges of Machine Learning

Written by R-Sharma | Published 2019/07/25
Tech Story Tags: machine-learning | startups | latest-tech-stories | ml | data-collection | model-deployment | programming | software-development

TLDR Businesses need to have a complete understanding of the current ML technologies and the current advancements. The ethical challenges in machine learning involve the issues related to how the data is used. Data acquisition and storage is a real challenge in the ML implementation. The right data collection mechanism is perhaps the hardest part for you to manage. Data fragmentation is one of the main issues in travel tech tech tech data fragmentation. It’s not always possible for the hotel team to converge all data streams to the correct data streams.via the TL;DR App

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Written by R-Sharma | A Professional Writer and Blogger. 10 years of experience in the IT industry, article writing, and tech blogging.
Published by HackerNoon on 2019/07/25