Framing business problems as machine learning (ML) problems (sponsored by Amazon Web Services)
Successful businesses today are turning to ML as a new approach to solve business challenges. However, transforming your business with ML can be hard from a cultural, competitive, and technology position. Carlos Escapa takes a deep dive into how to identify use cases for ML, acquire cutting-edge bes...
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| Format: | eBook |
| Language: | English |
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O'Reilly Media, Inc.
2020
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| Edition: | 1st edition |
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | Successful businesses today are turning to ML as a new approach to solve business challenges. However, transforming your business with ML can be hard from a cultural, competitive, and technology position. Carlos Escapa takes a deep dive into how to identify use cases for ML, acquire cutting-edge best practices to frame problems in a way that key stakeholders and senior management can understand and support, and set the stage for delivering successful ML-based solutions for your business. What you'll learn Discover how to transform your business with ML This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA. and is sponsored by Amazon Web Services |
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| Item Description: | Mode of access: World Wide Web Made available through: Safari, an O'Reilly Media Company |
| Physical Description: | 1 video file, approximately 39 min. |