Hashnode·4yHow I Made a TicTacToe Game That No One Can Beat 🙅♂️
The MiniMax algorithm is a backtracking algorithm used in decision-making and game theory. It provides an optimal move for the player assuming that opponent is also playing optimally. The algorithm can be written in less than 30 lines of code. The frontend was created using Flutter, a cross-platform application development framework.
Analytics Vidhya·4yFace Recognition System Using Python
This article focuses on implementing face recognition using the library face_recognition. It is built on deep learning techniques and promises accuracy greater than 96% using a single training image. The library can quickly locate and locate faces on its own, we don’t need to use haar Cascade and other techniques.
Analytics Vidhya·4yDocker Tutorial for Beginners Part-I
This article was published as a part of the Data Science Blogathon. In this article, we are going to introduce you to Docker tutorial and will further learn the basic commands as well from installing docker. Pulling images from the hub to running Linux machines in docker. The complexity of docker installation depends on the operating system.
DEV·4yUse Copilot to Write and Translate a Binary Search Algorithm
GitHub's Copilot Labs can help you write and understand a binary search algorithm. The tool is available in technical preview, but not all users will be able to use it. Use Copilot to write and explain a code snippet in plain language. Use the "Ask Copilot" button to view a version of the code in another language.
Better Programming·4yI Coded The Same Algorithm in Python and Rust. Here Are the Performance Differences
Rust was created in 2010 by Mozilla, ten years later was created Rust foundation to maintain this language as an open-source language. Rust can do a lot of types of apps: CLI, web server, web assembly (some browsers can execute rust code), Scraping, Microcontrollers (embedded devices)
Geekflare·4y7 Programming Languages to Use in Data Science
Python is one of the most powerful and flexible languages out there, and it’s also vastly used in data science. R is an interpreted language, so you can run your code without the need for any compiler. Julia takes the best from languages like Python, Ruby, Lisp, and R, combines it with the speed of C, and includes familiar mathematical notation.
The Next Web·4yOpen-sourcing Twitter's algorithms is more complex than Musk implies
Elon Musk has proposed making Twitter's algorithms open source. The Tesla tycoon argued that disclosing what amplifies or downranks tweets would reduce the risk of “behind the scenes manipulation” The approach has won support from some transparency advocates and critics of Twitter’s content moderation.
KDnuggets·4y7 Steps to Mastering SQL for Data Science
The biggest piece of advice I can give aspiring data scientists is to learn SQL. This is an often-overlooked skill by most data science learning providers but is arguably as important as machine learning modeling. In this article, I will walk you through 7 steps you can take to master SQL for any data science or analytics role.
Hacker News·4yNobody wants your fancy algorithm
Satellite imagery companies are trying to turn their data into a one-size-fits-all derived data product and sell it as a subscription product. The juice is never worth the squeeze, says the author of this newsletter. It’s hard to be a great analytics provider, and nearly impossible to be great at both simultaneously, he says.