Data science is trending towards open tooling and deep learning
summary
Claims that enterprises shift from commercial packages to open tooling like R Python Scala and Spark and that interest in deep learning is exploding with frameworks such as TensorFlow and Keras actually show up in specifics not slogans Gartner predicts 80% of data scientists will adopt deep learning by 2018 yet real deployments usually show only a handful actively using it per hundred people concrete wins include researchers diagnosing heart disease from ECGs better than cardiologists and insurers automating disaster-claim assessment from images
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chapters (5)
- 0:00Intro
- 0:40Trends in data science
- 2:20Data science in organizations
- 4:22Preparing for the future
- 6:23What data science can do
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