As many of you know, I have been working on the Data Science for IoT course for the last year or so (Both at Oxford Uni and for my consulting work)
As part of this work, I have been covering many complex areas like Sensor fusion/kalman filters(published on Kdnuggets) and Deep learning (Recurrent neural networks) for IoT (published on Data Science central)
Last week, I was approached by a program at Stanford University about this work
In a nutshell, the content of the Data Science for IoT course will be included as a recommended book for a forthcoming program taught at Stanford University
Its been a while since I have written a book ..
Excluding books for young people(teaching coding and computer science), the last major effort was with Tony Fish (Mobile Web 2.0) which launched my career into Mobile.
A book is a major undertaking
However, the existing course (Data Science for IoT) and the collaboration with Stanford University program for the book gives me the opportunity to create the book iteratively (in sections as we teach)
The book will have co-authors (more on that soon) and also many contributors from the Data Science for IoT course
This enables me to keep the content very fresh – which is critical in such a rapidly evolving field
We have had a great response to the Data Science for IoT course from all over the world.
Most of the participants are from USA and UK – but we also have participants from as far as Australia and Nicaragua.
If you are interested in being part of the course – please sign up now (we start next week)See course Data Science for IoT course
Happy to discuss part payments if you want.
We have had some excellent participants already and I look forward to learning and sharing more insights as part of the book and the course