A Beginner-friendly and Comprehensive Deep Dive on Vector Databases
Understanding every little detail on vector databases and their utility in LLMs, along with a hands-on demo.
Blogs
The data science essentials, geeked out and shared with you every week!
You Are Probably Building Inconsistent Classification Models Without Even Realizing
The limitations of always using cross-entropy loss in ordinal datasets.
PyTorch Models Are Not Deployment-Friendly! Supercharge Them With TorchScript.
Eliminating the dependence of PyTorch models on Python.
How To (Immensely) Optimize Your Machine Learning Development and Operations with MLflow
The guide that every data scientist must read to manage ML experiments like a pro.
Don't Stop at Pandas and Sklearn! Get Started with Spark DataFrames and Big Data ML using PySpark
A completely hands-on and beginner-friendly deep dive on PySpark using Databricks.
DBSCAN++: The Faster and Scalable Alternative to DBSCAN Clustering
Addressing major limitations of the most popular density-based clustering algorithm — DBSCAN.
Federated Learning: A Critical Step Towards Privacy-Preserving Machine Learning
Learn real-world ML model development with a primary focus on data privacy – A practical guide.
