Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...

Machine Learning

10 keys to successful machine learning for developers

 Machine learning can bring tremendous value to the applications you build, but beware the bearers of false gifts. In providing the ability to discover patterns buried deep within data, machine learning has the potential to make applications more powerful and more responsive to users’ needs. Well-tuned algorithms allow value to be extracted from immense and

Intro to Machine Learning Algorithms for IT Professionals

 Machine learning — supervised and unsupervised — tracks data patterns that help businesses build improved predictive models and make smarter IT decisions. Our data center machines, due to all the information we feed them, are getting smarter....

Predictive Analytics World Delivers the Promise of Big Data to Boston

 With only hindsight being 20/20, predictive analytics is being used by businesses to predict customer behavior, future market conditions and obstacles that were once unforseen. Accenture released their research on 600 business executives that said their companies...

Data Science Wars: Python vs. R

 As I frequently travel in data science circles, I’m hearing more and more about a new kind of tech war: Python vs. R. I’ve lived through many tech wars in the past, e.g. Windows vs. Linux, iPhone...

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