MLOps Lifecycle strings model and software development together in an unified machine learning life cycle for CI/CD/CT of ML products.
Difference between SQL and NoSQL database. When to choose NoSQL over SQL. Decision tree to pick from RDBMS, key-value, wide column, document, graph dbs.
Scalable and efficient data pipelines are as important for the success of data science and machine learning as reliable supply lines are for winning a war.
Data and Machine Learning services on Google Cloud Platform (GCP) for end-to-end machine learning product lifecycle.
Survey of data science and machine learning lifecycle from resource-constrained batch data mining era to current MLOps era of CI/CD/CT at the cloud scale.
Which is serverless in IaaS vs CaaS vs PaaS vs FaaS vs SaaS? And serverless compute on aws vs azure vs google cloud.
Various types of SQL Joins: inner, left, right, full, and cross. Understanding SQL joins will help you in making them fast.
Best sources to find free real-world public datasets for your machine learning and data science projects.
Most popular programming languages for 2023: Top 10 programming languages and why you should have them in your portfolio.
How to collect data and extract actionable insights from descriptive, diagnostic, predictive, and prescriptive data analytics using the drivetrain approach