At the Data Science for Internet of Things course, we have been working with the Predix APIs. We emphasise the Industrial IoT and Predix from GE is one the best examples of a mature IIoT platform. Predix is currently available on a free trial and I asked GE about the process…Continue
Added by ajit jaokar on September 11, 2016 at 6:30am — No Comments
Many thanks for the retweets and feedback on Part one of this blog
Here is Part Two
Here we extend the discussion and also suggest a practical (and open) way to create a way forward
To recap, lets keep in mind the…Continue
Added by ajit jaokar on July 25, 2016 at 9:54am — No Comments
This two part blog is based on my forthcoming book: Data Science for Internet of Things.
It is also the basis for the course I teach Data Science for Internet of Things Course. I will be syndicating sections of…Continue
Like many data scientists, I use the UCI datasets extensively
Specifically, the Boston Housing Dataset is useful especially to teach
For example, I use it in the …Continue
Added by ajit jaokar on June 11, 2016 at 8:30pm — No Comments
I teach a masters program on Smart cities (Big Data/Data Science/IoT analytics) at Citysciences (part of the University of Madrid)
I am pleased to announce the AI / Deep Learning Lab for Future Cities - at University of…Continue
This blog is based on my talk in London at the Re.work Connected City Summit on Deep Learning Applications for Smart cities. The talk is based on a forthcoming paper created with the help of my students atUPM/citysciences on the same theme. Please email me at ajit.jaokar at futuretext.com or…Continue
Added by ajit jaokar on April 4, 2016 at 12:00am — No Comments
I love motivational examples in teaching complex ideas! I use this simple little video to teach Deep Learning to my students.
When we consider Deep Learning, we think of ideas like teaching a computer to …Continue
Added by ajit jaokar on February 9, 2016 at 12:00pm — No Comments
What is the best way for getting started in Statistics for Programmers/Data Science?
I am often asked this question: What’s the best way for getting started in Statistics for Programmers?
I have used the following approach in my teaching
Firstly, the interest in Statistics for…Continue
Note: We address real time analytics in the Data Science for IoT practitioner’s course
I am a fan of Twitter - but Twitter is in the news for the wrong reasons and it…Continue
Added by ajit jaokar on October 21, 2015 at 3:44am — No Comments
Time Series IoT applications in Railroads
Authors: Vinay Mehendiratta, PhD, Director of Research and Analytics at Eka Software
and Ajit Jaokar, Data Science for IoT course
This blog post is part of a series of blogs exploring Time Series data and IoT.
The content and approach are part of the Data Science for Internet of…Continue
Added by ajit jaokar on October 4, 2015 at 12:18pm — No Comments
In this series of exploratory blog posts, we explore the relationship between recurrent neural networks (RNNs) and IoT data. The article is written by Ajit Jaokar, Dr Paul Katsande and Dr Vinay Mehendiratta as part of the…Continue
No taxonomy of Deep learning models exists. And I do not attempt to create one here either. Instead, I explore the evolution of Deep learning models by loosely classifying them into Classical Deep learning models andEmerging Deep Learning models. This is not an exact classification. Also, we embark on this exercise keeping our goal in mind i.e. the application of Deep learning…Continue
Added by ajit jaokar on July 29, 2015 at 11:30am — No Comments
In this post, I propose that IoT analytics should be a part of 'Smart objects' and discuss the implications of doing so
The term ‘Smart objects’ has been around from the times of Ubiquitous Computing.
However, as we have started building Smart objects, I believe that the meaning and…Continue
Cross posted from my blog - I look forward to discussion/feedback here…Continue
The Open Cloud – Apps in the Cloud
Based on my discussions at Messe Hannover , this blog explores the potential of applying Data Science to manufacturing and process…Continue
Added by ajit jaokar on May 1, 2015 at 11:30am — No Comments
This blog is a review of two books. Both are available for free from the MapR site, written by Ted Dunning and Ellen Friedman (published by O Reilly) : About Time Series Databases: New ways to store and access data and…Continue
Added by ajit jaokar on March 1, 2015 at 9:22am — No Comments
In this post, I discuss a possible new approach to teaching Programming for Data Science.
Programming for Data Science is focussed on the R vs. Python question. Everyone seems to have a view including the venerable …Continue
Often, Data Science for IoT differs from conventional data science due to the presence of hardware.
Hardware could be involved in integration with the Cloud or Processing at the Edge (which Cisco and others have called Fog Computing).
Alternately, we see entirely…Continue
Added by ajit jaokar on January 25, 2015 at 12:30pm — No Comments
This post is in a series Twelve unique characteristics of IoT based Predictive analytics/machine learning.
Here, we discuss IoT devices and the nature of IoT data
Definitions and terminology
Added by ajit jaokar on January 9, 2015 at 2:00pm — No Comments
Happy new year. My first blog post here!
I follow the interplay of Data Science and IoT - follow me on twitter @ajitjaokar to stay in touch
Note: In this post – I am not interested in the Datalogix – store card model. More to the…Continue
Added by ajit jaokar on January 1, 2015 at 2:13am — No Comments