A short history of machine learning applications in business; creativity, automation and deployment at scale

Rosaria Silipo, Principal Data Scientist at Knime, discusses the
recent history of the practice of machine learning, starting with
some of the the early 90's  applications to the most
promising use cases of today and tomorrow. We also cover
innovation with machine learning, automated machine learning and
its limitations and challenges with deploying machine learning
models.


Rosaria kindly offered a free download code of her book
https://www.knime.com/knimepress/practicing-data-science.


Comment on Twitter for the code https://twitter.com/ChipAlexandru


 


Links related to some of the more technical topics in the podcast


Crisp-DM cycle
https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining


Long Short-term memory applied to Natural Language Processing
https://en.wikipedia.org/wiki/Long_short-term_memory