AI/ML
Mathematics
Second-Order Optimization Methods: Newton, Quasi-Newton, and L-BFGS for Machine Learning
Master second-order optimization methods for machine learning. Learn Newton's method, Quasi-Newton, …
Jan 15, 2024 · 14 min read
Optimization
Advanced DP Optimizations
Advanced DP Optimizations 1. Overview This document covers advanced optimization techniques beyond …
12 min read
Greedy Algorithm Patterns
Greedy Algorithm Patterns 📚 Overview Greedy algorithms make locally optimal choices at each step. …
9 min read
Meet in the Middle
Meet in the Middle 📚 Summary Meet in the Middle splits a problem into two halves, solves each half …
8 min read
Dynamic Programming Optimizations
DP Optimization Techniques 1. Summary of Optimization Techniques Technique Reduces From Reduces To …
10 min read
Binary Search on Answer
Binary Search on Answer 📚 Summary Binary Search on Answer is used when the answer has a monotonic …
9 min read
Sliding Window
Sliding Window 📚 Summary The Sliding Window technique optimizes problems involving contiguous …
12 min read
Dynamic Programming Overview
Dynamic Programming (DP) Overview 1. Summary / TL;DR DP solves problems by breaking them into …
14 min read