Life and Death Decisions: Testing Data Science
We live in a world where decisions are being made by software. From mortgage applications to driverless vehicles, the results can be life-changing. But the benefits of automation are clear. If businesses use data science to automate decisions they will become more productive and more profitable.
So the question becomes: how can we be sure that these algorithms make the best decisions? How can we prove that an autonomous vehicle will make the right decision when life depends on it? How can we prove that data science works?
In this presentation, you will discover how to test the models produced from the application of Data Science. We will discuss the common problems that are encountered and I will show you how to overcome them. You will learn how to evaluate models both quantitatively and visually. And I will explain the differences between technical measures of performance and measures that are better for business use. I will provide context by showing both disastrous and hilarious examples from industry.
This talk is designed to be both entertaining and informative. It is primarily focused towards people with exposure to data science due to the use of terminology. But both beginners and those interested in technology will enjoy the talk because the content is thoroughly explained and fun!
Phil masters the hard art of backing theory by real-life experience. There is always more to learn about data and reinforcement learning... #data