2018. March Reading List
- Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks
- Fully Convolutional Networks for Rough Sketch Cleanup
- The Building Blocks of Interpretability
- Developers guide to Webflux
- Microservices Architecture — Early Thoughts Before That First Step
- How Netflix works – the (hugely simplified) complex stuff that happens every time you hit Play
- IDEA – An ongoing series of nonverbal algorithm assembly instructions
- How to make an ML Armada and run tens of billions of ML predictions on a budget
- How to know if Apache Kafka is right for you
- Kubernetes NodePort vs LoadBalancer vs Ingress
- Radical New Plans for Java
- OpenAPI Specification
- Feature Toggle in Spring Boot
- Long Names are Long
Soft
- How to be Polite
- The 12 Signs – How to know when you’re slowly but surely becoming a bad manager
- Agile Product Ownership
Videos
- Amazon MXNet Deep Learning Framework
- Graph Databases Will Change Your Freakin’ Life
- How to Learn Machine Learning in 6 Months
- Enterprise Programming Tricks For Clean Code
- Bruce Lee Driven Development
- Reactive Programming
- Kubernetes Deconstructed
Books
- Paradigms of Artificial Intelligence Programming
- Linear Algebra Done Wrong
- Data Science from Scratch
- Deep Learning - an MIT Press book
- Building Microservices
- Crafting Interpreters
Coding Challenges