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Meet developer and architect Mike Audi for Tiki, an app that allows users to receive money for their data. Join us as we discuss
- What is data monetization and why is this something people should focus on?
- Some of the disadvantages that the end user needs to be aware of and how can they protect themselves while still making money?
- How to maintain data quality throughout the process of monetizing their data.
Many times people separate Science from Religion. It is either one or the other. Dr. Joshua K. Smith has a different perspective. Join me as I talk with the brilliant mind of Dr. Joshua K. Smith as we discuss the future of robotics, artificial intelligence, automated warfare and Ideology of AI and the oppression of algorithms.
Join me as I bring on a special guess, Jeff Bermant to discuss data monetization. Jeff believes that it is your data and you should get paid for it. Throughout this podcast we discuss:
Dr. Benjamin Harvey talks about the Covid-19 mortality risk calculator that he built with his team and the mission behind this effort. Dr. Benjamin Harvey also talks about how becoming a data scientist can happen in any profession in the world. If you love basketball, there are data scientists careers for that. If you love being an artist, there are data scientist careers for that.
Tune into this episode as I talk to Dr. Benjamin Harvey, data scientist and thought leader in the world of data, about the journey it takes to become a data scientist. Dr. Benjamin talks about what people believe data science to be and what it really is. There is a price that comes with the journey, but as you will find out from Dr. Benjamin Harvey, the reward is sweet.
Having soft skills in data science is underrated and many people need it if they plan to pursue this as a career. It is important to be able to think about it from a business point of view and that is where soft skills come in. Join me as I discuss with Keith McCormick, the importance of having soft skills in data science.
Join me as I discuss with Keith McCormick the use cases of data mining, the importance of quantitative research and whether our jobs are safe in the world of the machine!!
SPSS has been around for years and is a major part of the data science industry when discussing statistical analysis. Keith McCormick discusses the history of SPSS and why it is so valuable to everyone.
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