50 Public Datasets for Machine Learning Projects 📅 Jul 7, 2022 · ☕ 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 📅 Jun 23, 2022 · ☕ 2 min read 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 📅 Feb 27, 2022 · ☕ 4 min read 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 📅 Feb 11, 2022 · ☕ 4 min read Arguments against and for embracing Agile in data science and machine learning projects.
Model Evaluation vs. Model Testing vs. Model Explainability 📅 Jan 28, 2022 · ☕ 3 min read 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 📅 Aug 6, 2021 · ☕ 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 📅 Jan 2, 2020 · ☕ 16 min read Introduction to data science, machine learning, and deep learning for software engineers and developers, with curated online resources.