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Sharad commented on ajit jaokar's blog post Learn #MachineLearning Coding Basics in a weekend – a new approach to coding for #AI
"I'm interested as well."
17 hours ago
Basilio Bona commented on ajit jaokar's blog post Learn #MachineLearning Coding Basics in a weekend – a new approach to coding for #AI
"I am a retired robotics professor and I want to learn some new techniques. Please send me the links"
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Tomas commented on ajit jaokar's blog post Learn #MachineLearning Coding Basics in a weekend – a new approach to coding for #AI
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May 17
Waldo Araujo Russo commented on ajit jaokar's blog post Learn #MachineLearning Coding Basics in a weekend – a new approach to coding for #AI
"Hello. I am very interested. Please send the link. Thank you and regards. Waldo Russo"
May 16
Vincent Granville commented on ajit jaokar's blog post Understanding Cross Validation across the Data Science pipeline
"In addition to, or in combination with cross-validation, I recommend model blending. The hidden decision trees methodology that I developed a while back, do just that: decision trees on observations that are better handled by decision…"
May 16
ajit jaokar's blog post was featured

Understanding Cross Validation across the Data Science pipeline

Cross validation is a technique commonly used In Data Science. Most people think that it plays a small part in the data science pipeline, i.e. while training the model. However, it has a broader application in model selection and hyperparameter tuning.Let us first explore the process of cross validation itself and then see how it applies to different parts of the data science pipelineCross-validation is a resampling procedure used to evaluate machine learning models on a limited data sample.…See More
May 16
Sanjay Aggarwal liked ajit jaokar's blog post Logistic regression as a neural network
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Chris Eisen commented on ajit jaokar's blog post Learn #MachineLearning Coding Basics in a weekend – a new approach to coding for #AI
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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

Understanding Cross Validation across the Data Science pipeline

Posted on May 13, 2019 at 11:00am 1 Comment

Cross validation is a technique commonly used In Data Science. Most people think that it plays a small part in the data science pipeline, i.e. while training the model. However, it has a broader application in model selection and hyperparameter tuning.

Let us first explore the process of cross validation itself and then see how it applies to different parts of the data science pipeline

Cross-validation is a resampling procedure used to evaluate machine learning models on a…

Continue

Logistic regression as a neural network

Posted on May 10, 2019 at 6:13am 0 Comments

As a teacher of Data Science (Data Science for Internet of Things course at the University of Oxford),  I am always fascinated in cross connection between concepts. I noticed an interesting image on Tess Fernandez slideshare (which I very much recommend you follow) which talked of…

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The Mathematics of Forward and Back Propagation

Posted on April 30, 2019 at 9:00pm 0 Comments

Understanding the maths behind forward and back propagation is not very easy.

There are some very good – but also very technical explanations.

For example : The Matrix Calculus You Need For Deep Learning Terence Parr and Jeremy Howard is an excellent resource but still too complex for beginners. 

I found a much simpler explanation in the ml cheatsheet.

The…

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How will the Data Scientist’s job change through automated machine learning?

Posted on April 26, 2019 at 10:51am 0 Comments

 

 

Introduction

Automated machine learning is a fundamental shift to machine learning and data science. Data science as it stands today, is resource-intensive, expensive and challenging. It requires skills which are in high demand. Automated Machine learning may not quite lead to the beach lifestyle for the data…

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