I post threads and other must know things about Machine Learning, Python, Deep Learning, ML Ops and other stuff weekly. Let's connect and take this journey together to understand practical machine learning at @utkarshML

It's good to hire freshers, but this expectation is completely wrong. Seems thr manager who gave this needs to be trained... the PR guy didn't bother to check it twice... And the company became a laughing stock

Reminds me of days when deep learning frameworks were 2-3 year old and companies used to ask for 5+ years of experience in them... Just pay more and get SMEs. It pays off in the longer run... Shows how replaceable "resources" are to management. #HRfails 🤦‍♂️🙏

https://t.co/O5Ck1tnmI2 Can someone explain what is wrong with this JD? this is expected from freshers...? @SchneiderElec you need to train your HR or get someone who understands Job competency framework, goals -> hierarchy cascade -> KPI mapping. #schneider

https://t.co/P6CGLD0w1v

Check out my latest article: The Downfall of SVB and why DeFi is inevitable https://t.co/z7IcqUCygP via @LinkedIn

Happy to hear back on how it can be further improved. #Python #pythonlearning #LearnToCode #BestPractices

It comes with following - FastAPI server with Pydantic objects Linting YAML Config and environment variables gunicorn - uvicorn implementation Elaborate README documentation gitlab runner CI configuration docker-compose setup and docker file setup

I love cookiecutter templates for python projects. They make your life so simple. But finding good templates is a major hassle. I eventually bundled several best practices and created my own - and you can access it here -

Came to know about FinBERT pre-trained model today - it is fantastic! Its a transformer trained to perform sentiment analysis on financial data. Amazing input to a data model pipeline for stock forecasting #MachineLearning #DeepLearning #Python

Finally submitted the first draft of the concept paper to my guide!! Never thought it would complete on time! When the pressure gets to you, it feels like dropping out of the doctorate program, but then you know next day you'll be back at it!! Hoping the momentum continues

How do you decide on a research thesis topic? You read about what the area of research has to offer. Read about what others are song on this space, and related space. Once you've read 30, 40, 60, 100s of papers, patterns start to emerge. It's not a day's exercise- it's a journey

One of the things I've always wondered is how do you select a topic our area of research. Always select something such is close to your heart, because you'll have to stick to it for next 3-5 years of your life, everyday.

I will keep documenting the progress and hope this community will support as it has always helped

After searching for over 3 years, I have finally decided to start my research journey by enrolling for a doctorate program in Machine Learning!! So excited!

We revamped the entire pipeline, made couple of modifications to the data handlers, clustering mechanisms, and finally added 9 new ML models to check fraud. Crazy month, but worth it

Finally I'm back!!! Sorry was out of touch for an entire month. Our fraud monitoring platform touched 90 million digital transactions this month!!! Super excited to see ML system mature and grow #MachineLearning #MLOps

I recommend this too!! This is am excellent resource to learn python.

Where is this theory used? Everywhere!! Databases joins rely on set theory to produce meaningful data

This is absolutely true and hilarious and the same time

This is so true in every aspect of life