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ajit jaokar liked ajit jaokar's blog post Advantages and Disadvantages of Automated Machine Learning
Tuesday
ajit jaokar posted a blog post

Advantages and Disadvantages of Automated Machine Learning

The title of this blog is accurateThere are indeed some caveats / disadvantages to automated machine learning.This blog was motivated by a question in my University of Oxford class effectively asking:Will automated machine learning take over all the data scientists’ tasks?If you listen to the prevailing view in the industry, automated machine learning will be like the…See More
Tuesday
ajit jaokar's blog post was featured

Advantages and Disadvantages of Automated Machine Learning

The title of this blog is accurateThere are indeed some caveats / disadvantages to automated machine learning.This blog was motivated by a question in my University of Oxford class effectively asking:Will automated machine learning take over all the data scientists’ tasks?If you listen to the prevailing view in the industry, automated machine learning will be like the…See More
Tuesday
Sharmistha Chatterjee liked ajit jaokar's blog post Interesting AI papers published in 2020
Jan 5
Sharmistha Chatterjee liked ajit jaokar's blog post Interesting AI papers published in 2020
Jan 5
Dario Rodriguez and ajit jaokar are now friends
Jan 4
ajit jaokar liked ajit jaokar's blog post Interesting AI papers published in 2020
Jan 4
ajit jaokar posted a blog post

Interesting AI papers published in 2020

For my own research and teaching, I follow AI papers. Here is a list of papers I find interesting. I analysed 3 lists (links below) as meta-references for lists of good papersFrom that list and also my own interests, here is a set of papers I find interesting in 2020 CORE PAPERSThese influence how AI algorithms could develop in future1) ADA: Training Generative…See More
Jan 4
ajit jaokar's blog post was featured

Interesting AI papers published in 2020

For my own research and teaching, I follow AI papers. Here is a list of papers I find interesting. I analysed 3 lists (links below) as meta-references for lists of good papersFrom that list and also my own interests, here is a set of papers I find interesting in 2020 CORE PAPERSThese influence how AI algorithms could develop in future1) ADA: Training Generative…See More
Jan 4
Elice Max liked ajit jaokar's blog post A simple way to understand the statistical foundations of data science
Dec 30, 2020
ajit jaokar posted a blog post

A simple way to understand the statistical foundations of data science

IntroductionThere are six broad questions which can be answered in data analysis according to an article called “What is the question?” By Jeffery T. Leek, Roger D. Peng. These questions help to frame our thinking of data science problems. Here, I propose that these questions also provide a unified framework for relating statistics to data science. The six questions…See More
Dec 27, 2020
ajit jaokar's blog post was featured

A simple way to understand the statistical foundations of data science

IntroductionThere are six broad questions which can be answered in data analysis according to an article called “What is the question?” By Jeffery T. Leek, Roger D. Peng. These questions help to frame our thinking of data science problems. Here, I propose that these questions also provide a unified framework for relating statistics to data science. The six questions…See More
Dec 27, 2020
ajit jaokar liked ajit jaokar's blog post Applications of Deep Neural Networks 575 page free book by Jeff Heaton
Dec 26, 2020
ajit jaokar's blog post was featured

Applications of Deep Neural Networks 575 page free book by Jeff Heaton

If you want some holiday reading, here is something for you I think  this is extraordinarily generous Applications of Deep Neural Networks 575 page free book by Jeff Heaton TOC below download links at the end of the postHappy holidays :)  0.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xiv1 Python Preliminaries…See More
Dec 24, 2020
ajit jaokar posted a blog post

Applications of Deep Neural Networks 575 page free book by Jeff Heaton

If you want some holiday reading, here is something for you I think  this is extraordinarily generous Applications of Deep Neural Networks 575 page free book by Jeff Heaton TOC below download links at the end of the postHappy holidays :)  0.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xiv1 Python Preliminaries…See More
Dec 24, 2020
ajit jaokar posted a blog post

Developing carrier grade enterprise AI applications based on 5G, IoT and the Cloud

In this article, we discuss how 5G technologies could empower the next generation enterprise AI applications.What does it mean to develop carrier grade applications?Carrier grade or Telco grade applications refer to a system or hardware or software component that is extremely reliable and well tested.  In practice, this means applications which have high availability, fast recovery, guaranteed quality of service and redundancy.For Enterprise applications, 5G could provide carrier grade…See More
Dec 13, 2020

Profile Information

Company:
futuretext
Job Title:
founder
Seniority:
Professor
Industry:
IoT, Telecoms, Smart Cities
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
LinkedIn Profile:
http://www.opengardensblog.futuretext.com/archives/2016/01/data-sci...
Interests:
Finding a new position, Networking, New venture, Other

Ajit jaokar's Blog

Advantages and Disadvantages of Automated Machine Learning

Posted on January 18, 2021 at 3:00am 0 Comments

The title of this blog is accurate

There are indeed some caveats / disadvantages to automated machine learning.

This blog was motivated by a question in my University of Oxford class effectively asking:

Will automated machine learning take over all the data scientists’ tasks?

If you listen to the…

Continue

Interesting AI papers published in 2020

Posted on January 4, 2021 at 3:20am 0 Comments

For my own research and teaching, I follow AI papers. Here is a list of papers I find interesting. I analysed 3 lists (links below) as meta-references for lists of good papers

From that list and also my own interests, here is a set of papers I find interesting in 2020

 

CORE PAPERS

These influence…

Continue

A simple way to understand the statistical foundations of data science

Posted on December 27, 2020 at 3:11pm 0 Comments

Introduction

There are six broad questions which can be answered in data analysis according to an article called “What is the question?” By Jeffery T. Leek, Roger D. Peng. These questions help to frame our thinking of data science problems. Here, I propose that these questions also provide a unified framework for relating statistics…

Continue

Applications of Deep Neural Networks 575 page free book by Jeff Heaton

Posted on December 24, 2020 at 1:31pm 0 Comments

If you want some holiday reading, here is something for you 

I think  this is extraordinarily generous 

Applications of Deep Neural Networks 575 page free book by Jeff Heaton 

TOC below download links at the end of the post

Happy holidays :)  

0.1 Introduction . . . .…

Continue

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