04. Don't Jump Into the Deep End

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Start with a small project and solid data. Learn and build from there.

 

07. AI and ML Work with Moving Pictures, Not Snapshots

Time is often a missing element in data sets. It's helpful to know a certain metric, but it's even more valuable to know how that's changed over time, and the direction of change.
 

09. Working Within Regulatory Constraints

Regulators have become increasingly interested in what data organizations collect and retain about individuals, how that data is protected and ultimately whether that data is used appropriately.

 

02. Digging Deeper on Machine Learning

Machine learning can be as varied as the data itself, from text to image analytics to a widening array of sensor based data. The good news is that tools are advancing rapidly, and many are open sourced.
 

01. Understanding Artificial Intelligence and Machine Learning

Machine learning is about taking vast amounts of data and making it actionable.
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