Showing posts with label #UnlockAI. Show all posts
Showing posts with label #UnlockAI. Show all posts

Sunday, 28 July 2019

Let's #UnlockStats - Extending #UnlockAI


I've been asked so many times how to start with Machine Learning or which course I have to join to learn it?  But I have always the same reply - Machine Learning is a journey where you have to travel with a good friend (i.e. - Python, R, Java.....), face some obstacles (i.e. - Mathematical and Statistical Concepts...) and make more new friends there (i.e. lot of other things which you required to understand this ML world - Problem & its Domain, Algorithms, Comparison, tiring testing). So in simple words, ML is not a destination where you have to reach but its a journey which you have to live. Little dramatic... isn't it :-)
     
Anyway, Starting with very basic stats or statistics which you should be aware of with other ML things. Hoping, you will like it... Please comment if you have any query or request.


Use #UnlockStats to fetch all Stats post and #UnlockAI for all AI/ML posts.





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Tuesday, 27 March 2018

ML-DL model as a Service - MLaaS



It is not always the case when we have to give or share the ML/DL model or algorithm with Client, sometime we want to allow users to use our model but without sharing the code or without setting up the infrastructure at Client end.

There is a way to achieve this, Convert your model as a Service, Yes, You can do that. You can expose your model as a Rest Service and user can use the method supported by your Service program. Today, we are going to learn the same.
Let's see how -



Tools Required - 
Flask - A python web server
and of course Python :-)


ML/DL Model Creation: 
For this part, I am picking very basic ML problem - IRIS dataset Classification.
Below code will create a Logistic Regression Classification Model and Save the model as a file.
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Flask Web Server - REST Service
In below code, we are creating a REST service hosted on local system and having endpoint as "\iris" and Posting the array input to predict the IRIS species
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How to run Flask Server:
    


Call ML Service:  From Command Line:


Call ML Service:  From Postman Client:









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Sunday, 25 March 2018

Let's #UnlockAI


Hi Guys, Writing this post after so many days, hoping you didn't take this absence otherwise :-)
Today, I am gonna start a new #hashtag #UnlockAI where we learn the basics of Machine Learning, Deep Learning, Concepts, Algorithm and their limitations under one umbrella. I will try to keep every topic in detail and with the proper example so that it will be easy to understand with under lying the mathematics.




Please post your queries or topics you want to discuss under this #hashtag #UnlockAI





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