How and Why: Decorrelate Time Series
When dealing with time series, the first step consists in isolating trends and periodicites. Once this is done, we are left with a normalized time… Read More »How and Why: Decorrelate Time Series
Author and Publisher at MLtechniques.com. Machine learning scientist, mathematician, book author (Wiley), patent owner, former post-doc at Cambridge University, former VC-funded executive, with 20+ years of corporate experience including CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent also founded and co-founded a few start-ups, including one with a successful exit (Data Science Central acquired by Tech Target).
When dealing with time series, the first step consists in isolating trends and periodicites. Once this is done, we are left with a normalized time… Read More »How and Why: Decorrelate Time Series
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In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine… Read More »Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics