GraphQL is a great technology for building APIs and it is very useful for exposing the output from machine learning models and other calculations.

For Freshers - Posted on 10APR2021

https://paypal.rolepoint.com/?shorturl=Um2qk#job/ahBzfnJvbGVwb2ludC1wcm9kchALEgNKb2IYgICo6d3zgQoM


For Experience - Posted on 10APR2021

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For Other Global Paypal opportunities
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👉🏼👨🏻‍💻 🔸 Cardea, a software system built by researchers and software engineers at MIT's Data to AI Lab (DAI Lab)
One-stop machine learning platform turns health care data into insights

Github Link :
https://github.com/MLBazaar/Cardea

Django Rest-framework (Half the way to go)


Code
https://github.com/iampython-team/DjangoRestFramework

Doc
https://github.com/iampython-team/DjangoRestFramework/blob/master/DRF_Doc.pdf

Video Playlist
https://youtube.com/playlist?list=PLw945x_O7SHqseUNT1V_6EpKlon-mxylb

👉Alternative for Keras ::

⚡️TFLearn.
⚡️Knet.
⚡️Clarifai.
⚡️DeepPy.
⚡️Torch.
⚡️NVIDIA Deep Learning GPU Training System (DIGITS)
⚡️RustNN.


👨‍🎤⛄️❄️🐋💁🏻‍♂️🙅🏼‍♀️

Hello Python Developers !!!

Next week, we'll reach 300,000 projects in the pypi package index.

That's up from 200,000 on 14 Oct 2019 and 100,000 on 4 Mar 2017.

What is your prediction for when we'll reach 400,000?

Current project Count : 299,092 projects

If your machine learning model is 99% correct, something is wrong

Possible reasons:

⚡️Wrong evaluation metric
⚡️Bad validation set
⚡️Overfitting
⚡️Leakage

⚡️Accepted data as "objective" or "authoritative"

⚡️you're accidentally using 100% of the training set as your test set

⚡️You just don't understand your data.

⚡️Model is clearly memorizing data. Could be that number of features being used is more than the number of data points?

⚡️Forget that all data are shaped through human intervention at many stages

we need to understand saving trained ML model in different formats

https://developer.ibm.com/callforcode/?utm_content=000039JL&utm_term=10008917&p1=PSocial&p2=297609258&p3=142596057&dclid=CLP4z7HPh_ACFQFUKwodbu0K0w



Your solution is officially in the running for a chance to win $200,000 USD and support in setting up your team as a startup.

Source: Thomas Malone | MIT. Machine learning is changing, or will change, every industry, and leaders need to understand the basic principles, the potential, and the limitations.

I already created video for understanding on Yellobrick. Yellowbrick is Machine Learning Visualisation library and best suit for Diagnosing the ML problems in every stage. Yellowbrick is built top on Scikit-Learn and Matplotlib.

▬▬▬▬▬▬ Installation ▬▬▬▬▬▬
$ pip install yellowbrick
conda install -c districtdatalabs yellowbrick

▬▬▬▬▬▬ Significance of Yellowbrick Python library ▬▬▬▬▬▬
Tuning hyperparameters
Select features
Visualize the score of your models
Visualize Rank Algorithms

Hi All,

We have special interaction on AI, ML, DL and NLP.

Interested people join on zoom meeting at 3PM IST

Let’s talk about something interesting 🧐

Will share zoom link before 20mins

Join Zoom Meeting
https://us02web.zoom.us/j/84127482955?pwd=SFpUVEZ2U2p2dCtsRzRYOFlnWFdQZz09

Meeting ID: 841 2748 2955
Passcode: robo

at 3PM IST - in another 15 mins

Resources for NLP and DL .. this is our third edition

People who wants to join free ML sessions daily at 9:30 PM IST

https://chat.whatsapp.com/ECDLgJ50bZx7cw9IJ4GoOS


Remember who seriously wants to learn join .. this is open source platform

arxiv.org/abs/2104.10350 -- a detailed study of CO2 emission in large models from Google

A visual introduction to machine learning

http://www.r2d3.us/visual-intro-to-machine-learning-part-1/

Best view in desktop 🖥

Join in their team If you are interested for part3 launch 🚀