AI is Like Teenage Sex...
· ☕ 3 min read
Newsletter Issue 13: Don't fall for the "AI-first" hype. Focus on being "data-first" and ML/AI will naturally follow.
ML
Should You Care About MLOps? Why and How Much?
· ☕ 4 min read
Newsletter Issue 12: How to progressively adopt MLOps, but only as much as justified by your needs and RoI.
Survey of Machine Learning Lifecycle
· ☕ 15 min read
The evolution from resource-constrained batch data mining to continuous MLOps at the cloud scale, and how to bring model development and DevOps together
MLOps: Machine Learning Lifecycle
· ☕ 11 min read
MLOps Life Cycle for continuous training, integration, and deployment (CT/CI/CD) of models while building ML-assisted products.
Machine Learning vs Traditional Software Development
· ☕ 5 min read
Newsletter Issue 11: You define logic in traditional programs. Machine Learning extracts logic (models) from the data.
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.
50 Public Sources for Machine Learning Datasets
· ☕ 9 min read
Best places to find free datasets similar to your problem and kickstart your machine learning or data science project.
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.