Machine Learning Mind Map: Tasks, Methods, and Applications
A practical machine learning mind map covering ML tasks, methods, model families, and application areas for a clearer overview of the field.
2020-01-28 · 9 min
Insights
Engineering Blog
Production patterns for AI agents, RAG pipelines, data infrastructure, and MLOps. No theory-only posts — every article comes from a real deployment.
Google AI Tools: Gemini, Vertex AI, and 6 More
A practical guide to the most relevant Google AI tools for modern teams, including Gemini, Vertex AI, Agent Builder, search, vision, and MLOps workflows.
2020-01-23 · 10 min
Kubernetes in 10 minutes
A practical overview of Kubernetes, what it manages, and when it is the right operational layer for containerized systems.
2020-01-21 · 7 min
Data Science in HR: 8 Practical Use Cases for Human Resources
A practical overview of data science in HR, covering eight high-value use cases for hiring, retention, workforce planning, performance insight, and people operations.
2020-01-16 · 10 min
Docker in 10 minutes
A practical introduction to Docker, containers, images, and the kinds of problems Docker actually solves in modern software delivery.
2020-01-14 · 8 min
ScyllaDB vs Cassandra: Performance, Operations, and Cost
Compare ScyllaDB and Apache Cassandra on performance, latency, hardware efficiency, operational tradeoffs, and migration fit for distributed NoSQL workloads.
2020-01-09 · 8 min
NLP Algorithms and Concepts: A Practical Guide to Modern Natural Language Processing
A practical guide to NLP algorithms and concepts, covering common NLP tasks, classical models, embeddings, transformers, retrieval, and modern natural language processing workflows.
2019-12-19 · 13 min
Top 8 Data Science Use Cases in Production
A practical overview of how production and manufacturing organizations use data science for quality, maintenance, forecasting, and operational control.
2019-12-17 · 8 min
Analytics Use Cases: 9 Data Science Applications That Matter
A practical guide to analytics use cases where data science adds value, including segmentation, forecasting, churn reduction, pricing, and decision support.
2019-12-12 · 8 min
H2O Framework for Machine Learning: When It Still Fits
A practical overview of the H2O framework for machine learning, where the H2O platform still fits, and when teams should use it instead of building custom pipelines from scratch.
2019-12-11 · 16 min
Fighting Overfitting in Deep Learning
A practical guide to recognizing and reducing overfitting in deep learning systems without sacrificing real-world model performance.
2019-12-05 · 15 min
Top 7 Data Science Use Cases in Administration
A practical look at how administrative organizations use data science for automation, reporting, fraud control, and operational decision support.
2019-11-27 · 8 min