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Ajit jaokar's Blog (120)

An overview of the Predix Platform for Industrial IoT

Introduction

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…

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Added by ajit jaokar on September 11, 2016 at 6:30am — No Comments

A methodology for solving problems with DataScience for Internet of Things - Part Two

Many thanks for the retweets and feedback on Part one of this blog 

A methodology for solving problems with DataScience for Internet of Things - Part One

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…

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Added by ajit jaokar on July 25, 2016 at 9:54am — No Comments

A methodology for solving problems with DataScience for Internet of Things - Part One

Introduction

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…

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Added by ajit jaokar on July 21, 2016 at 7:57am — 5 Comments

Boston housing Dataset without the racial profiling field

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 …

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Added by ajit jaokar on June 11, 2016 at 8:30pm — No Comments

Announcing - AI / Deep Learning Lab for Future Cities - at University of Madrid

Background

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…

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Added by ajit jaokar on June 8, 2016 at 12:07pm — 1 Comment

Deep Learning Applications for Smart cities

Background and Approach

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…

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Added by ajit jaokar on April 4, 2016 at 12:00am — No Comments

The lipstick robot - A great way to explain Deep learning

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 …

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Added by ajit jaokar on February 9, 2016 at 12:00pm — No Comments

What's the best way to get started in Statistics for Programmers/Data Science?

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

Comments welcome:

Firstly, the interest in Statistics for…

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Added by ajit jaokar on January 3, 2016 at 9:30am — 2 Comments

Twitter as a platform for OPEN real time analytics

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…

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Added by ajit jaokar on October 21, 2015 at 3:44am — No Comments

Time Series IoT applications in Railroads

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…

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Added by ajit jaokar on October 4, 2015 at 12:18pm — No Comments

Recurrent neural networks, Time series data and IoT – Part One

Introduction

 

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…

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Added by ajit jaokar on September 19, 2015 at 11:30am — 1 Comment

Evolution of Deep learning models

Scope and approach

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…

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Added by ajit jaokar on July 29, 2015 at 11:30am — No Comments

IoT analytics, Edge Computing and Smart Objects

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…

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Added by ajit jaokar on July 16, 2015 at 11:26am — 1 Comment

An Introduction to Deep Learning and it’s role for IoT/ future cities

By Ajit Jaokar @ajitjaokar Please connect with me if you want to stay in touch on linkedin and for future updates

Cross posted from my blog - I look forward to discussion/feedback here…

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Added by ajit jaokar on May 18, 2015 at 6:30am — 1 Comment

Smart data: IoT analytics for manufacturing and process industries

The Open Cloud – Apps in the Cloud 

Smart Data

Based on my discussions at Messe Hannover , this blog explores the potential of applying Data Science to manufacturing and process…

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Added by ajit jaokar on May 1, 2015 at 11:30am — No Comments

Book review: About Time Series Databases and a New look at Anomaly detection by Ted Dunning and Ellen Friedman

Introduction

 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…

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Added by ajit jaokar on March 1, 2015 at 9:22am — No Comments

Programming for Data Science the Polyglot approach: Python + R + SQL

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 …

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Added by ajit jaokar on February 9, 2015 at 2:30am — 25 Comments

Data Science for IoT: The role of hardware in analytics

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…

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Added by ajit jaokar on January 25, 2015 at 12:30pm — No Comments

Understanding the nature of IoT data

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

    Business insider…

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Added by ajit jaokar on January 9, 2015 at 2:00pm — No Comments

'Datalogix like’ insights: A new #IoT #Retail #Beacon business model? which ties the social to the physical through Data Science and IoT

Notes:

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…

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Added by ajit jaokar on January 1, 2015 at 2:13am — No Comments

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