Subscribe to DSC Newsletter
ajit jaokar
  • Male
  • london
  • United Kingdom
Share on Facebook
Share

Ajit jaokar's Friends

  • Rafael Knuth
  • Omar Alexander Rincon Venegas
  • Zulmira Costa
  • Manish Kumar Barnwal
  • Ellen Children
  • Sanjay Santhanagopal
  • Dmitry Slepov
  • Diego Lescano
  • Dalila
  • Maya Sekeran
  • Amit Verma
  • Keith Maclaren
  • Ryan Waite
  • Jitin Kapila
  • sumendar karupakala

Gifts Received

Gift

ajit jaokar has not received any gifts yet

Give a Gift

 

ajit jaokar's Page

Latest Activity

Parmod Kumar liked ajit jaokar's blog post The Mathematics of Data Science: Understanding the foundations of Deep Learning through Linear Regression
Friday
Ali Awadh liked ajit jaokar's blog post The Mathematics of Data Science: Understanding the foundations of Deep Learning through Linear Regression
Thursday
Boris Shmagin liked ajit jaokar's blog post The Mathematics of Data Science: Understanding the foundations of Deep Learning through Linear Regression
Thursday
Boris Shmagin commented on ajit jaokar's blog post The Mathematics of Data Science: Understanding the foundations of Deep Learning through Linear Regression
"Regression is good first step, then the factor analysis should come in play"
Thursday
Christoph Tertel liked ajit jaokar's blog post The Mathematics of Data Science: Understanding the foundations of Deep Learning through Linear Regression
Wednesday
ajit jaokar's blog post was featured

The Mathematics of Data Science: Understanding the foundations of Deep Learning through Linear Regression

 Note: This is a long post, but I kept it as a single post to maintain continuity of the thought flowIn this longish post, I have tried to explain Deep Learning starting from familiar ideas like machine learning. This approach forms a part of my forthcoming book. You can connect with me on Linkedin to know more about the book. I have used this approach in my teaching. It is based on ‘learning by exception,' i.e. understanding one concept and…See More
Wednesday
ajit jaokar shared their blog post on Facebook
Jan 14
ajit jaokar liked ajit jaokar's blog post The Mathematics of Data Science: Understanding the foundations of Deep Learning through Linear Regression
Jan 14
ajit jaokar's blog post was featured

The Mathematics of Data Science: Understanding the foundations of Deep Learning through Linear Regression

 Note: This is a long post, but I kept it as a single post to maintain continuity of the thought flowIn this longish post, I have tried to explain Deep Learning starting from familiar ideas like machine learning. This approach forms a part of my forthcoming book. You can connect with me on Linkedin to know more about the book. I have used this approach in my teaching. It is based on ‘learning by exception,' i.e. understanding one concept and…See More
Jan 14
paul c liked ajit jaokar's blog post AI / Machine learning Cloud APIs: AWS – Azure - GCP - our experience
Jan 7
T. E. KALAYCI liked ajit jaokar's blog post A simplified explanation for Understanding the Mathematics of Deep Learning
Jan 7
Mahboob Alam liked ajit jaokar's blog post AI / Machine learning Cloud APIs: AWS – Azure - GCP - our experience
Jan 6
ajit jaokar's blog post was featured

AI / Machine learning Cloud APIs: AWS – Azure - GCP - our experience

Most of us start working with specific programming languages like TensorFlow and PysparkSo, we are relatively not so used to working with Cloud APIs.But Cloud APIs for Machine Learning and Deep Learning can make your life a lot easier in building AI and Machine Learning servicesOf course, the Cloud APIs have a cost – but they enable an ease of use for creating new…See More
Jan 6
Luigi Zanetti liked ajit jaokar's blog post A simplified explanation for Understanding the Mathematics of Deep Learning
Jan 5
ajit jaokar liked Vincent Granville's blog post Why You Should be a Data Science Generalist - and How to Become One
Dec 29, 2018
ajit jaokar commented on ajit jaokar's blog post Why I agree with Geoff Hinton: I believe that Explainable AI is over-hyped by media
"Thanks for your comments Richard. Yes, the Molnar book gives some answers but I suspect still many questions. Happy holidays!"
Dec 28, 2018

Profile Information

Short Bio
My research is focused on Data Science for IoT. I teach same at Oxford Uni and UPM in Madrid (@forumoxford + @citysciences). Also launching a course / certification Data Sciences for IoT for industry. Personal research interests - Deep learning algorithms for IoT/future city domains
My Web Site Or LinkedIn Profile
http://www.opengardensblog.futuretext.com/archives/2016/01/data-sci...
Professional Status
Professor
Years of Experience:
20
Your Company:
futuretext
Industry:
IoT, Telecoms, Smart Cities
Your Job Title:
founder
How did you find out about DataScienceCentral?
Twitter
Interests:
Finding a new position, Networking, New venture, Other

Ajit jaokar's Blog

The Mathematics of Data Science: Understanding the foundations of Deep Learning through Linear Regression

Posted on January 14, 2019 at 12:29pm 1 Comment

 

Note: This is a long post, but I kept it as a single post to maintain continuity of the thought flow

In this longish post, I have tried to explain Deep Learning starting from familiar ideas like machine learning. This approach forms a part of my forthcoming book. You can connect with me on Linkedin to know more about the book. I have used this approach in my teaching. It is based on ‘learning by…

Continue

AI / Machine learning Cloud APIs: AWS – Azure - GCP - our experience

Posted on January 5, 2019 at 2:00pm 0 Comments

Most of us start working with specific programming languages like TensorFlow and Pyspark

So, we are relatively not so used to working with Cloud APIs.

But Cloud APIs for Machine Learning and Deep Learning can make your life a lot easier in building AI and Machine Learning services

Of course, the Cloud APIs have a cost – but they…

Continue

Why I agree with Geoff Hinton: I believe that Explainable AI is over-hyped by media

Posted on December 27, 2018 at 12:30pm 2 Comments

 

Geoffrey Hinton dismissed the need for explainable AI. A range of experts have explained why he is wrong.

 

I actually tend to agree with…

Continue

A simplified explanation for Understanding the Mathematics of Deep Learning

Posted on December 17, 2018 at 11:10am 0 Comments

Introduction

In this post, I explain the maths of Deep Learning in a simplified manner.  To keep the explanation simple, we cover the workings of the MLP mode (Multilayer Perceptron). I have drawn upon a number of references – which are indicated in the post in the relevant sections.

 

Deep Learning models are playing a significant role in many domains. In the simplest case, deep learning involves stacking multiple neural network layers to address a…

Continue

Comment Wall

You need to be a member of Data Science Central to add comments!

Join Data Science Central

  • No comments yet!
 
 
 

Videos

  • Add Videos
  • View All

Follow Us

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service