How to Build a Better Machine Learning Pipeline – Datanami

How to Build a Better Machine Learning Pipeline
Datanami
Machine learning (ML) pipelines consist of several steps to train a model, but the term ‘pipeline’ is misleading as it implies a one-way flow of data. Instead, machine learning pipelines are cyclical and iterative as every step is repeated to
SAS named a leader in multimodal predictive analytics and machine learning solutions by independent research firmPR Newswire (press release)
RapidMiner Named a Leader in Multimodal Predictive Analytics and Machine Learning Solutions by Independent …Markets Insider
Domino Data Lab Named a Leader in Notebook-based Predictive Analytics and Machine Learning Solutions by …GlobeNewswire (press release)

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Interra Systems Adds Artificial Intelligence and Machine Learning Capabilities to BATON QC Platform – Broadcasting & Cable

Interra Systems Adds Artificial Intelligence and Machine Learning Capabilities to BATON QC PlatformBroadcasting & CableCUPERTINO, Calif. — Sept. 5, 2018 — Interra Systems, a leading global provider of software products and solutions to the digital medi…

Machine learning predicts metabolism, helping drug developers and brewers – Phys.Org

Phys.OrgMachine learning predicts metabolism, helping drug developers and brewersPhys.OrgMachine learning algorithms that can predict yeast metabolism from its protein content have been developed by scientists at the Francis Crick Institute. The findin…

Machine learning used for helping farmers select optimal products suited for their operation – Phys.Org

Phys.OrgMachine learning used for helping farmers select optimal products suited for their operationPhys.OrgRoman Garnett, assistant professor of Computer Science & Engineering in the School of Engineering & Applied Science, has received a $97,…

​Xero expands machine learning features for small businesses – ZDNet

ZDNet​Xero expands machine learning features for small businessesZDNetCloud accounting firm cum small business platform Xero has made a handful of announcements on Wednesday, including new machine learning features, an education platform, and simple co…

How Artificial Intelligence And Machine Learning Are Revolutionizing Logistics, Supply Chain And Transportation – Forbes

ForbesHow Artificial Intelligence And Machine Learning Are Revolutionizing Logistics, Supply Chain And TransportationForbesLeading companies are already harnessing artificial intelligence and machine learning to inform and fine-tune core strategies, su…

Baidu Launches ‘No-Code’ Tool for Building Machine Learning Models – TOP500 News


TOP500 News

Baidu Launches ‘No-Code’ Tool for Building Machine Learning Models
TOP500 News
According to the company’s press release, EZDL is aimed at small and medium-sized businesses that don’t have the kind of software expertise necessary to code machine learning applications, most of which rely on deep learning frameworks like TensorFlow, …

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The rise of machine learning in astronomy – Phys.Org

Phys.OrgThe rise of machine learning in astronomyPhys.OrgThe machine-learning program learns to sort similar images into those labels through a series of steps. These steps are a basic emulation of how human brains recognise patterns. Getting computers…

Why Training Machine Learning With Multitenant Data Produces Better Results – Forbes


Forbes

Why Training Machine Learning With Multitenant Data Produces Better Results
Forbes
There is a simple rule with machine learning: The more data available to train the machine, the smarter the machine becomes. I can relate with an example I’m sure is familiar to all of us. Remember iTunes “Smart” Playlists? It was a cool way to give

The AI, machine learning, and data science conundrum: Who will manage the algorithms? – ZDNet


ZDNet

The AI, machine learning, and data science conundrum: Who will manage the algorithms?
ZDNet
Artificial intelligence and machine learning are being adopted into the enterprise at a rapid clip and adoption is likely to surge in 2019. What comes next is the real business challenge: How will we manage technology that we likely don’t understand?

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