MATLAB Machine Learning by Michael Paluszek – Interview

Hello, everyone! Happy Wednesday! Today’s featured book is MATLAB Machine Learning written by Michael Paluszek with his co-author, Stephanie Thomas.

MATLAB Machine Learning is one of the best-selling books in Computers & Technology, on top 200 on Compliers sub-category, and top 300 on Artificial Intelligence and Object-Oriented Software Design.

So we wont be having this introduction long, please dont forget to share this with your friends!

Michael Paluszek


Name: Michael Paluszek

Background: President Princeton Satellite Systems. EE and Aero and Astro degrees from MIT. Worked at the Charles Stark Draper Laboratory and GE Astro Space before founding Princeton Satellite in 1992.,

Favorite gadget: My 2012 Nissan Leaf. It never needs maintenance and gets me around town!

Hobbies: Ballet – taking class and performing character roles, reading military history


What is MATLAB Machine Learning about, and why should our readers read it?

I started my engineering career working on spacecraft. Satellites are one of the first technology to be autonomous. Autonomy was implemented using feedback control systems. The sensors provide information to the control systems so they could “learn” about the environment and perform their tasks, usually just pointing at the Earth. There are important concepts, such as stability, that are critical to successful control systems. In MATLAB Machine Learning we tried to integrate controls, big data and artificial intelligence into a framework that readers can use to make their autonomous systems more reliable. We provide all of the code so readers can see at least one way to implement all the concepts in the book. There are great commercial tools for machine learning but we think it is important to work through the code of each area so that the reader understands the limitations of each technology.

What, in your opinion, is the current most exciting technological advancement and why?

Energy storage is the most exciting. It is opening the door to advances in electric transportation, distributed power generation, and emergency power. My first “laptop” was an Apple portable with a lead acid battery. I dragged it to Japan for satellite launch operations Lithium batteries have made the current generation of laptops, phones, electric tools and electric vehicles possible. Next generation batteries will make people wonder why anyone used fossil fuel power for anything.

What inspired you to write your book/s?

We wanted to tie together machine learning (big data) with Artificial Intelligence, adaptive and learning control and estimation. These are all elements needed to make truly autonomous systems. The title was already set when we started writing but a better title might be “Building Autonomous Systems”.

If there’s one chapter in your book people should have read, which one should it be, and why?

Everyone should read Chapter 1, “An Overview of Machine Learning.” It describes the different disciplines and illustrates how they are each a part of an autonomous system.

If there’s one subject you’d like to see a book about, what would it be?

I’d like to see a book on nuclear fusion reactor engineering. Nuclear fusion power generation is an exciting area but there are no good references about how one would build such a machine. It is an area on which we are working and perhaps we’ll write one in the future!

As an author, which book made the most impact on you?

The best technical book is Brij Agrawal’s, “Design of Geosynchronous Satellites.” He covers all of the physics and technology of satellite design in one book. It gives the big picture and lots of information on the details of each subsystem. It is really ideal as a first book on satellite technology.


There we go! To sir Michael Paluszek, thank you very much sir for giving us some your time and entertaining us. We’re hoping to have Ms. Stephanie Thomas interviewed too 🙂

To our readers and followers, thank you too for the never ending support! See you all again on our next featured post!



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