Category: ML, Analytics
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5 Principles Full Stack Developers and Solutions Architects Must Understand About Machine Learning
Principles on connecting apps to machine learning models
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Machine Learning at Scale: Highlights from The Artificial Intelligence Conference
Machine learning at scale via Twitter, Facebook Cloudera and others presenting at O’Reilly’s Artificial Intelligence conference
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10 Questions before starting a Machine Learning POC
Detailed easy 10-step checklist for evaluating AI / machine learning proof of concepts and data experiments
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Beyond microservices; Software architecture driven by machine learning
How machine learning will define next gen software architecture
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10 Steps to Develop Applications with Embedded Analytics
Data and insights drive the user experience of analytics applications. For applications being developed on sensitive data, the security model is likely to be a factor in the user experience design. For applications that require high data quality, reviewing and cleansing data might be an upfront project before starting the application design process.
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Understanding AI – 3 Must Read AI Books for CIO and IT Leaders
AI: From now- > Near term- > future AGIs
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Critical questions to help define winning AI experiments
Answer these questions before jumping into AI
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Strata Data Keynotes Day 2 on Dimming the Noise, Faster Data, and Becoming Boring
Strata Data covered a lot of ground on dirty data, bias in AI, dast data, and regulation
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The basics of Deep Learning and Bayesian Networks in under five minutes
Deep learning quickly explained by Uber Chief Scientist
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Understanding the Basics of Deep Learning and Neural Networks
The basics of deep learning are easy to comprehend but getting them to perform still requires experimentation
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Succeeding at Artificial Intelligence Requires a Commitment to Agile Experimentation
It requires significant experimentation to get results from artificial intelligence and machine learning approaches
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Gartner Focuses on Algorithms as the Foundation to Digital Business
Summary from Gartner Keynote Address at 2015 Symposium – Algorithms, Digital Business, CIO Transformation