Episode 63: Financial time series and machine learning
Episode 58 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Episode 63: Financial time series and machine learning" was published on June 4, 2019 and runs 21 minutes.
June 4, 2019 ·21m · Data Science at Home
Summary
In this episode I speak to Alexandr Honchar, data scientist and owner of blog https://medium.com/@alexrachnogAlexandr has written very interesting posts about time series analysis for financial data. His blog is in my personal list of best tutorial blogs. We discuss about financial time series and machine learning, what makes predicting the price of stocks a very challenging task and why machine learning might not be enough.As usual, I ask Alexandr how he sees machine learning in the next 10 years. His answer - in my opinion quite futuristic - makes perfect sense. You can contact Alexandr on Twitter https://twitter.com/AlexRachnog Facebook https://www.facebook.com/rachnog Medium https://medium.com/@alexrachnog Enjoy the show!
Episode Description
In this episode I speak to Alexandr Honchar, data scientist and owner of blog https://medium.com/@alexrachnog Alexandr has written very interesting posts about time series analysis for financial data. His blog is in my personal list of best tutorial blogs. We discuss about financial time series and machine learning, what makes predicting the price of stocks a very challenging task and why machine learning might not be enough. As usual, I ask Alexandr how he sees machine learning in the next 10 years. His answer - in my opinion quite futuristic - makes perfect sense.
You can contact Alexandr on
- Twitter https://twitter.com/AlexRachnog
- Facebook https://www.facebook.com/rachnog
- Medium https://medium.com/@alexrachnog
Enjoy the show!
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