Video description
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.
Table of Contents
Introduction
Welcome To The Course
00:02:26
About The Author
00:01:34
Introduction To Machine Learning And Deep Learning
Deep Learning Introduction
00:09:31
Information Theory Overview
00:06:24
Machine Learning Vs Deep Learning
00:10:26
Machine Learning In The Context Of Business Problems
00:08:51
Introduction To Deep Learning
Deep Learning Current And Futures
00:10:09
Deep Learning And Big Data
00:09:45
Deep Learning And The Internet Of Things
00:06:55
Deep Learning And Strong AI
00:06:14
Solving Business Problems With Deep Learning
Speech Recognition With Deep Learning
00:05:40
Image Processing In Deep Learning
00:04:25
Recommendation Systems
00:06:24
Marketing Applications Of Deep Learning
00:07:03
Deep Learning Implementation For Your Business
Implementation Considerations
00:05:02
Deep Learning Issues And Resolutions
00:04:02
Conclusion
Wrap Up
00:02:37