Logistic Regression
How a classification model learns to predict probabilities instead of flat yes/no answers.
The Polymathic Engineer
A newsletter about Algorithms, Computer Vision, and Distributed Systems
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Latest posts
Disjoint Sets: From Linear to Almost Constant Time
Tracking which items belong to the same group looks trivial, until your inputs get big.
IP Addressing, Part III: Inside the IP Packet
What actually travels on the wire: the IPv4 header, fragmentation, and what IPv6 changed.
IP Addressing, Part II: Scaling IPv4 Across the Internet
How classful addressing gave way to CIDR, and how private addresses and NAT kept the world from running out of IPv4.
The Anatomy of an IPv4 Address (Part I)
How an IPv4 address is built, what a subnet mask does, and how a device determines the network it belongs to.
The Perceptron
How the simplest classification model works, and why it is the building block of every neural network.
How the Operating System Runs Many Tasks on One CPU
Multitasking, context switching, and the scheduler that makes it all work.
When to repeat yourself
When duplicated code is the better tradeoff.
The Training Trap: Underfitting, Overfitting, and How to Escape Them
A practical guide to the most common problems in machine learning training and the techniques to solve them.
Service Mesh vs API Gateway (Part III)
Two patterns that look similar, solve different problems, and work best together.
The Depth-First Search Pattern: Exploring Trees and Graphs
How to systematically search through all paths by going as deep as possible before backtracking