Daily Dose of Data Science
Every week, we share practical no-fluff deep dives on topics that truly matter to your skills for succeeding and staying relevant in ML & DS roles.
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.
How to (Massively) Streamline Your Machine Learning Workflow With DVC
The guide that every data scientist must read to manage ML experiments like a pro.
You Cannot Build Large Data Projects Until You Learn Data Version Control!
The underappreciated, yet critical, skill that most data scientists overlook.
