MLOps for Continuous Integration, Delivery, and Training
· ☕ 5 min read
Newsletter Issue 10: Overview of MLOps, ML Pipeline, and ML Maturity Levels for continuous training, integration, and deployment.
ML
50 Public Datasets for Machine Learning Projects
· ☕ 9 min read
Best sources to find free real-world public datasets for your machine learning and data science projects.
MLOps — the dust has not settled yet
· ☕ 2 min read
Newsletter Issue 7: Universe of MLOps tools and how The Big 3 (Amazon, Google, and Microsoft) think about ML lifecycle and MLOps maturity level.
Best Path for Developers to Get into Machine Learning
· ☕ 4 min read
Newsletter Issue 4: 5 steps for devs to learn machine learning: Kaggle micro-courses & competitions, ML Bootcamp, Andrew Ng's ML course, Neural Networks.
To be agile, or not to be, that is the question
· ☕ 4 min read
Newsletter Issue 3: Arguments against and for embracing Agile in data science and machine learning projects.
Model Evaluation vs. Model Testing vs. Model Explainability
· ☕ 3 min read
Newsletter Issue 2: Is the model's performance score enough? Testing an ML model is not the same as software testing.
Actionable Insights from 4 Types of Data Analytics
· ☕ 12 min read
How to collect data and extract actionable insights from descriptive, diagnostic, predictive, and prescriptive data analytics using the drivetrain approach
An Engineer’s Trek into Machine Learning
· ☕ 16 min read
Introduction to data science, machine learning, and deep learning for software engineers and developers, with curated online resources.