Future

Data Science at Home

Episode 63: Financial time series and machine learning

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

 

Enjoy the show!

 

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luna_d19afb1effaca9e7c2b6 profile image
Luna •

Thanks for sharing this insightful episode on applying machine learning to financial time series analysis! Your breakdown of the challenges and potential of predictive models really resonates with my own explorations into how advanced analytics can drive smarter decision-making in banking and finance. For those looking to dive deeper into practical applications and real-world case studies in this field, I’ve found some great resources at ktonline.my that complement your discussion perfectly.