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The Big Book of Machine Learning Use Cases

This how-to reference guide provides everything you need — including code samples and notebooks — to start putting the Databricks platform to work.

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REFERENCES
1. https://www.marketsandmarkets.com/Market-Reports/deep-learning-market-107369271.html
2. https://www.forbes.com/sites/gilpress/2016/07/20/artificial-intelligence-rapidly-adopted-by-enterprises-survey-says/#5da1818212da
3. http://www.bandt.com.au/marketing/three-ways-image-recognition-technology-will-change-retail-marketing-2017
4. http://digitalcommons.unf.edu/cgi/viewcontent.cgi?article=1783&context=etd
5. http://www.oreilly.com/data/free/artificial-intelligence-now.csp
6. https://databricks.com/blog/2017/06/06/databricks-vision-simplify-large-scale-deep-learning.html
7. http://www.oreilly.com/data/free/files/what-is-artificial-intelligence.pdf
8. https://www.infoworld.com/article/3163525/analytics/review-the-best-frameworks-for-machine-learning-and-deep-learning.html?upd=1512493932276
9. https://www.forbes.com/sites/janakirammsv/2017/08/07/in-the-era-of-artificial-intelligence-gpus-are-the-new-cpus/2/#5118f7024efa
10. http://bytes.schibsted.com/deep-learning-changing-data-science-paradigms/
11. https://databricks.com/blog/2016/12/21/deep-learning-on-databricks.html

ABOUT DATABRICKS:
Databricks is the data and AI company. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks simplifies data and AI so data teams can collaborate and innovate faster. More than five thousand organizations worldwide —including Comcast, Shell, Starbucks and Regeneron — rely on Databricks as a unified platform for massive scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Venture-backed and headquartered in San Francisco (with offices around the globe) Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.