DML stands for “Dynamical Machine Learning” (more in the book, “SYSTEMS Analytics for IoT Data Science”, 2017). This match is not surprising once you realize that DML & IoT are both based on the venerable Systems Theory. Let us dig deeper . . .

Consider IoT for industrial applications. A machine is instrumented with sensors, data are collected in real-time (or at intervals), communicated to the cloud where IoT Data Science…

ContinueAdded by PG Madhavan on September 11, 2017 at 12:30pm — No Comments

** Dynamical ML is machine learning that can adapt to variations over time**; it requires “real-time recursive” learning algorithms and time-varying data models such as the ones described in the blog,…

Added by PG Madhavan on March 18, 2017 at 2:30pm — 1 Comment

** **

In an earlier blog, “**Need for DYNAMICAL Machine Learning: Bayesian exact recursive estimation**”, I introduced the need for Dynamical ML as we now enter the “Walk” stage of “Crawl-Walk-Run” evolution of machine learning. First, I defined Static ML as follows: Given a set of inputs and outputs, find a static map between the two…

Added by PG Madhavan on October 6, 2016 at 10:04am — No Comments

*In this year of Rudolf Kalman’s demise, this article is dedicated to his memory.*

We introduce a new Machine Learning (ML) solution for Dynamical, Non-linear, In-Stream Analytics. Clearly, such a solution will accommodate Static, Linear and Offline (or any combination thereof) Machine Learning tasks. The value of such a solution is significant because the same…

ContinueAdded by PG Madhavan on September 18, 2016 at 8:00am — No Comments

Reading some recent blogs, I sense a level of angst among Data Science practitioners about the nature of their field. What exactly IS Data Science - a question that seems to lurk just below the surface . . .

As a young field of study and work, it will naturally take time for a definition of Data Science to crystallize. In the meantime, see if this works for you . . .…

ContinueAdded by PG Madhavan on July 26, 2016 at 3:00pm — 2 Comments

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