machine learning
machine learning

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…

AI Customer Targeting Levels – From Customer Segmentation to Recommendation Systems

This is the first of a four part series on machine learning and deep learning written for AI Trends by Piotr Migdal, Ph.D., deepsense.ai. Every time you watch a film Netflix has suggested or buy a “similar product” on Amazon, it is a personalized recommendation. Can you make such recommendations work for your business as […]

Four Suggestions for Using a Kaggle Competition to Test AI in Business

According to a McKinsey report, only 20% of companies consider themselves adopters of AI technology while 41% remain uncertain about the benefits that AI provides. Considering the cost of implementing AI and the organizational challenges that come with it, it’s no surprise that smart companies seek ways to test the solutions before implementing them and get […]

Ensemble Machine Learning for AI Self-Driving Cars

By Lance Eliot, the AI Trends Insider How do you learn something? That’s the same question that we need to ask when trying to achieve Machine Learning (ML). In what way can we undertake “learning” for a computer and seek to “teach” the system to do things of an intelligent nature. That’s a holy grail […]

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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Optimizing AI and Machine Learning with eFPGAs – Design and Reuse (press release)


Design and Reuse (press release)

Optimizing AI and Machine Learning with eFPGAs
Design and Reuse (press release)
The market for artificial intelligence (AI) and machine learning applications has been growing substantially over the last several years. Designers have a tough row to hoe when it comes to satisfying these applications’ seemingly insatiable compute hunger.

New Open-Source Projects Emerge for Machine Learning – Datanami

New Open-Source Projects Emerge for Machine LearningDatanamiTwo open-source projects contributed by Chinese tech giants Baidu and Tencent will focus on machine and deep learning advances with the long-term goal of making the AI technologies easier to u…

SAP Bets Machine Learning Can Make Workplace More Transparent – Wall Street Journal (blog)

Wall Street Journal (blog)SAP Bets Machine Learning Can Make Workplace More TransparentWall Street Journal (blog)Software and technology services vendor SAP SE wants to help managers improve their leadership skills and retain employees by launching abo…

Masterclass: Artificial Intelligence and Machine Learning in Digital Marketing – ClickZ

Masterclass: Artificial Intelligence and Machine Learning in Digital Marketing
ClickZ
Masterclass: Artificial Intelligence and Machine Learning in Digital Marketing. Learn from the world’s leading experts how to leverage the power of AI to transform your marketing campaigns to deliver a better customer experience. Save my spot. Enter