Building data science products? Think business first!
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.
• 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
More Data Science Material:
[Video] Building a Business Case for your Machine Learning Idea
[Blog] Essential Data Science Skills
[Blog] Top Math Resources for Data Scientists
[Blog] 30 Data Sets to Uplift your Skills