Building data science products? Think business first!


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Originally published at: Building data science products? Think business first! | Machine Learning

Modern machine learning libraries are both a blessing and a curse. Due to the ease with which the libraries can be used, most users (newbies and practitioners alike) focus too much on tools and techniques. We will discuss the high-level thinking process of coming up with a machine learning algorithm by asking a business question before even thinking about the tools or technologies.

Outline:
• Why starting with technology is the wrong approach? Ask a business question and work your way backward
• Choosing the right machine learning algorithm for your business problem
• High-level thinking process in conceiving, implementing, deploying and maintaining a machine learning system

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