Deep Learning for Strategic Decision Makers /

Deep learning (DL) is an exciting new data technology that's creating business value for companies like Google, Yahoo, Microsoft, Amazon, Netflix, Spotify, and more. This course explains DL's core concepts, demystifies the math and science underlying the technology, and reviews its strengt...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
Stirrup, Jen
Format:
Elektronisch
Sprache:
Englisch
Veröffentlicht:
Infinite Skills, 2017.
Ausgabe:
1st edition
Zusammenfassung:
Deep learning (DL) is an exciting new data technology that's creating business value for companies like Google, Yahoo, Microsoft, Amazon, Netflix, Spotify, and more. This course explains DL's core concepts, demystifies the math and science underlying the technology, and reviews its strengths, weaknesses, challenges, and risks from a strategic perspective. Business executives seeking a market-focused introduction to this technology will come away with the ability to articulate DL's core concepts and an understanding of how they fit together to produce business value. Discover the distinctions between deep learning, big data, machine learning, and artificial intelligence Learn how DL apps (e.g., speech recognition, image processing, and recommender systems) create value Examine the pitfalls of DL and know how to overcome them Understand how to evaluate the possibilities of DL for your own company Jen Stirrup runs London based Data Relish, Ltd., a business consultancy providing strategic advice on data technology implementations to global clients. Named by Solutions Review as one of the world's top nine most influential women in business intelligence and data analytics, Jen holds Master's degrees in Cognitive Science from the University of Birmingham and from Aberdeen University. She's worked in IT for 20+ years and her areas of expertise include artificial intelligence, BI, Microsoft SQL Server, Tableau, R, Hadoop, and Hive.
Umfang:
1 online resource (1 video file, approximately 1 hr., 47 min.)
video file
Anmerkungen:
Title from title screen (viewed August 23, 2017).
Date of publication from resource description page.
Schlagworte:
Bezugswerke: