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