Excited to share my latest blog post on Customer Segmentation using ML.🚀
Learn step-by-step how to embark on a clustering project, from data preprocessing to model evaluation. Check out the complete walkthrough for a deep dive into customer segmentation!
https://t.co/bnyGaeS4dm
Alhamdulillah, I am delighted to announce that our research paper has been successfully published in the esteemed Journal of Information and Intelligence. Furthermore, our paper is now available in Elsevier journal.https://t.co/ZWuDT8x226
Wait for our team to review your submissions. If approved, the project will be included on the site and the contributor gets a profile page.
Please note this campaign is only open for GitHub projects ( with either an Apache 2.0 or MIT license).
We are excited to launch our #MaintainerMarch campaign, inviting the global developer community of Dev Library to showcase their open source projects.
Details shared in the thread.
Add details for your Github projects which feature Google Tech like Android, TensorFlow or Google Cloud before April 30th.
Remember to tag your submissions with #MaintainerMarch in the comment field.
This March-April just got more exciting as contributors can share their new Open Source projects or updated versions of their exciting contributions to the latest Google technologies.
How to Participate?
Go to https://t.co/OaE7ImbXMO and click Submit your Content.
We have launched these 3 initiatives to skill up our local students.
If you want to join us, feel free to join the server : https://t.co/T36jZcS35d
#tfugdhaka
🌿 Introducing #MLOlympiad 2023 - Globally Distributed ML Competitions by #MLGDE#TFUG and 3rd-party ML communities.
Find your interest among the @Kaggle competitions, and join/share them with other devs!
Get the details in the blog ↓ https://t.co/jgPdrF1yYw
🖼️ With KerasCV, anyone can use the highest-throughput StableDiffusion pipeline to generate images!
Get started in under a minute: https://t.co/g1R989yx0H
Hello Tensors,
Bringing you a session on "Introducing WebNN as a new backend for TensorflowJS" by @HowDevelop.
Join us as we take a deep dive into this interesting topic.
📆 - 28th November 2021
🕔 - 5:00pm
🔗 - https://t.co/l06SnE1mFo
#TensorFlow#madewithTfjs
Are you a fan of TensorFlow?
TensorForce is an open-source framework for reinforcement learning in TensorFlow.
3 capabilities:
1. Modular component-based design
2. Separation of RL algorithm and application
3. Full-on TensorFlow models
Try it here: https://t.co/QrBlVWj4SE