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ajit jaokar's blog post was featured

Deploying machine learning models using Agile

In the previous post, ten strategies to implement ai on the cloud and edge, I discussed strategies for end to end deployment for machine learning modules. How this relates to Agile? Deployment of AI comes within the scope the normal SDLC (software development lifecycle)So, normal Agile techniques like scrum, sprints, backlog planning, release planning, test driven development and…See More
13 hours ago
Sagren Pillai liked ajit jaokar's blog post TensorFlow 1.x vs 2.x. – summary of changes
Monday
ajit jaokar liked ajit jaokar's blog post Ten strategies to implement AI on the Cloud and Edge
Friday
ajit jaokar's blog post was featured

Ten strategies to implement AI on the Cloud and Edge

IntroductionThe deployment of Machine Learning and Deep Learning algorithms on Edge devices is a complex undertaking. In this post, I list the strategies for deploying AI to Edge devices end-to-end i.e. for the full pipeline covering machine learning (building modules) and deployment (devops)I welcome your comments on additional ideas that could be included. In subsequent posts, I will elaborate these ideas in detail and ultimately, this will a free book on Data Science Central. I will take a…See More
Thursday
Ignacio Cabrero liked ajit jaokar's blog post TensorFlow 1.x vs 2.x. – summary of changes
Jan 11
Ignacio Cabrero liked ajit jaokar's blog post TensorFlow 1.x vs 2.x. – summary of changes
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Oleg Kapinos liked ajit jaokar's blog post Programming for Data Science the Polyglot approach: Python + R + SQL
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Prabhakaran Sampath liked ajit jaokar's blog post Data science cookbook style code reference in Python for beginners
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Dias Nurymzhanov liked ajit jaokar's blog post Data science cookbook style code reference in Python for beginners
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ajit jaokar's blog post was featured

Data science cookbook style code reference in Python for beginners

Here is another resource I use for teaching my students at AI for Edge computing course. I like this resource because I like the cookbook style of learning to code. The resource is based on the book Machine Learning With Python…See More
Dec 30, 2019
ajit jaokar's blog post was featured

NeurIPS 2019 – analysis of papers by themes

You can always learn a lot from the papers presented at NeurIPSThere is some good analysis already on the web.From Chip Huygen – neurips 2019 analysis and from David Abel neurips 2019 analysisMost…See More
Dec 25, 2019
ajit jaokar posted a blog post

AI and the future of work: Will Artificial Intelligence make us all into Polymaths in the future?

 AI and the future of work is a major topic of discussion Most views on this subject are negative More broadly, the negative impact of technology has been highlighted by Nicholas Carr (the shallows) ,…See More
Dec 22, 2019
ajit jaokar's blog post was featured

AI and the future of work: Will Artificial Intelligence make us all into Polymaths in the future?

 AI and the future of work is a major topic of discussion Most views on this subject are negative More broadly, the negative impact of technology has been highlighted by Nicholas Carr (the shallows) ,…See More
Dec 22, 2019
Achnine Rachid liked ajit jaokar's blog post Seven differences between academia and industry for building machine learning and deep learning models
Dec 19, 2019
ajit jaokar's blog post was featured

Seven differences between academia and industry for building machine learning and deep learning models

  Academia and industry take different approaches to building machine learning and deep learning models Here are seven differences1) Approach to accuracy: When you are in research or academia, you are focused on increasing accuracy (or some other…See More
Dec 19, 2019

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

Deploying machine learning models using Agile

Posted on January 20, 2020 at 1:06pm 0 Comments

In the previous post, ten strategies to implement ai on the cloud and edge, I discussed strategies for end to end deployment for machine learning modules.

 

How this relates to Agile?

 

Deployment of AI comes within the scope the normal SDLC (software development lifecycle)

So, normal Agile techniques like scrum, sprints, backlog…

Continue

Ten strategies to implement AI on the Cloud and Edge

Posted on January 16, 2020 at 11:30am 0 Comments

Introduction

The deployment of Machine Learning and Deep Learning algorithms on Edge devices is a complex undertaking. In this post, I list the strategies for deploying AI to Edge devices end-to-end i.e. for the full pipeline covering machine learning (building modules) and deployment (devops)

I welcome your comments on additional ideas that could be included. In subsequent posts, I will elaborate these ideas in detail and…

Continue

Data science cookbook style code reference in Python for beginners

Posted on December 29, 2019 at 11:30pm 0 Comments

Here is another resource I use for teaching my students at AI for Edge computing course. I like this resource because I like the cookbook style of learning to code. The resource is based on the book Machine…

Continue

NeurIPS 2019 – analysis of papers by themes

Posted on December 25, 2019 at 7:54am 0 Comments

You can always learn a lot from the papers presented at NeurIPS

There is some good analysis already on the web.

From Chip Huygen – neurips 2019 analysis and from David…

Continue

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