Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Machine-learning algorithms: What they do and when to use them

Darren Cook (QQ Trend Ltd.)
11:3012:00 Tuesday, 23 May 2017
Data 101
Location: Capital Suite 14
Average rating: ***..
(3.00, 3 ratings)

Darren Cook explores the main types of machine-learning algorithms, describing the kinds of task each is suited to, the explainability, repeatability, scalability, training time, sensitivity to data issues, and downsides of each, and the types of answers you can hope to get from them. Whether you are detecting fraud, detecting cancer, building driverless cars, or making AlphaGo, something in this talk will apply to you.

Algorithms include:

  • Deep learning (and variations)
  • Various types of decision trees
  • Linear models
  • Bayesian
  • Tree search
  • Clustering
  • Ensembles
Photo of Darren Cook

Darren Cook

QQ Trend Ltd.

Darren Cook is a director at QQ Trend, a financial data analysis and data products company. Darren has over 20 years of experience as a software developer, data analyst, and technical director and has worked on everything from financial trading systems to NLP, data visualization tools, and PR websites for some of the world’s largest brands. He is skilled in a wide range of computer languages, including R, C++, PHP, JavaScript, and Python. Darren is the author of two books, Data Push Apps with HTML5 SSE and Practical Machine Learning with H2O, both from O’Reilly. The latter can help you take what you learn from this talk and start actually using machine-learning algorithms in your organization.

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