Limits of Linear Models for Forecasting
This article was written by Blaine Bateman In this post, I will demonstrate the use of nonlinear models for time series analysis, and contrast to linear… Read More »Limits of Linear Models for Forecasting
This article was written by Blaine Bateman In this post, I will demonstrate the use of nonlinear models for time series analysis, and contrast to linear… Read More »Limits of Linear Models for Forecasting
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented… Read More »Selected Recent Articles from Top DSC Contributors – Part 2
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Two particular events directed my attention recently to the importance to democratise information about AI into governence and popular culture. The first was a congressional… Read More »AI needs further demystification and democratisation
Stochastic Signal Analysis is a field of science concerned with the processing, modification and analysis of (stochastic) signals. Anyone with a background in Physics or… Read More »Machine Learning with Signal Processing Techniques
R language is a free statistical computing environment; hence there are multiple ways/packages to achieve a particular statistical/quantitative output. I am going to discuss here… Read More »A Comprehensive List Of R Packages For Portfolio Analysis
It’s been a while since my last blog post, but I wanted to update everyone on a project that’s been keeping me busy recently. Last… Read More »New book on big data, AI and data science for executive audiences
After reviewing 8 great ETL tools for fast-growing startups, we got a request to tell you more about open source solutions.There are many open source ETL… Read More »Open Source ETL: Apache NiFi vs Streamsets
I sometimes reflect on how we will reach this stage of AI called AGI (Artificial General Intelligence) which is defined by a state of AI… Read More »AI – From Silo to Ecosystem