Visual Studio Magazine

Simulated Annealing Optimization Using C# or Python

The goal of a combinatorial optimization problem is to find the best ordering of a set of discrete items. A classic combinatorial optimization challenge is the Traveling Salesman Problem (TSP). The ...
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Adam Optimization From Scratch in Python | Step-by-Step Guide

In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines the benefits of momentum and RMSProp, and how it updates weights efficiently ...

Anthropic Releases LLM Agent Tool Design Guide: Three-Step Process + Five Principles to Assist Developers in Efficient Development

Anthropic has launched a methodological guide focused on the development of Large Language Model (LLM) Agent tools on its official technical blog, systematically detailing how to construct efficient ...
Investopedia

Optimization: Overview and Examples in Technical Analysis

Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...
Visual Studio Magazine

Simulated Annealing Optimization Using C# or Python

Dr. James McCaffrey of Microsoft Research shows how to implement simulated annealing for the Traveling Salesman Problem (find the best ordering of a set of discrete items). The goal of a combinatorial ...

Anthropic Launches LLM Agent Tool Design Guide: Three-Step Process + Five Principles to Assist Developers in Efficient Development

Anthropic has launched a methodology guide focused on the development of Large Language Model (LLM) Agent tools on its official technical blog, systematically explaining how to build efficient tools ...