Data Engineering

MLOps: Machine Learning Life Cycle

MLOps Lifecycle strings model and software development together in an unified machine learning life cycle for CI/CD/CT of ML products.

Should You Care About MLOps? Why and How Much?

How to progressively adopt MLOps, but only as much as justified by your needs and RoI.

MLOps: Machine Learning Life Cycle

MLOps Lifecycle strings model and software development together in an unified machine learning life cycle for CI/CD/CT of ML products.

Survey of Machine Learning 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.

Machine Learning vs Traditional Software Development

You define logic in traditional programs. Machine Learning extracts logic (models) from the data.

MLOps for Continuous Integration, Delivery, and Training

Overview of MLOps, ML Pipeline, and ML Maturity Levels for continuous training, integration, and deployment.

Serverless Computing on AWS, Azure, and Google Cloud

Which is serverless in IaaS vs CaaS vs PaaS vs FaaS vs SaaS? And serverless compute on aws vs azure vs google cloud.

When to (Not) Use Machine Learning

Machine Learning is no silver bullet. Here is how you can determine whether ML is. the right tool to solve your problem.

Types of SQL Joins: Inner, Left, Right, and Full

Various types of SQL Joins: inner, left, right, full, and cross. Understanding SQL joins will help you in making them fast.

5 Reasons Why 78% Machine Learning Projects Fail

Why machine learning and data science projects fail, and what you can do to void it.