Algorithms

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Imagine there is public speaking square in your city, much like the ancient Greek agora. Here you can freely...The post Elon Musk Is Wrong About Censorship Hampering Free Speech He Should Blame the Algorithms appeared first on Gizmodo Australia. 160...


Keywords: algorithms, network, course, design
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Rputs trs fiables, les unes sont des botes noires. Moins robustes, les autres permettent l inverse l humain de comprendre les choix de la machine. Le mieux est le plus souvent de les mixer....


Keywords: deep learning, machine learning, data
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K Means like youve never seenbeforePhoto by Duy Pham onUnsplashIntroductionEns in the AI context, is technique that tries to improve performance by aggregating the prediction of multiple Machine Learning models. It can be considered type of met...


Keywords: course, foundation, classification, python, algorithms
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Algorithmic stablecoins can sometimes be unstable too, and TerraUSD is major example. Cryptocurrencies are infamous for their volatility, they can rise up and down exponentially but stablecoins are supposedThe post Top 10 Algorithmic Stablecoins that...


Keywords: cryptocurrency, smart contract, bitcoin, scala
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Simulated annealing is an uninformed search technique to optimise the global minima of function.The post How to use simulated annealing to approximate function appeared first on Analytics India Magazine....


Keywords: computing, analytic, test, python, aws
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For years have been wordering how one dimensional array actually works in memory one of the most basic data structures in computer science and when started to read books about Data structures and Algorithms found that computer s memory can be viewe...


Keywords: computer science, mathematic, express, oop

Living better with algorithms scienceblog.com | Yesterday

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Laboratory for Information and Decision Systems LIDS student Sarah Cen remembers the lecture that sent her down the track to an upstream question.At talk on ethical artificial intelligence, the speaker brought up variation on the famous trolley pro...


Keywords: ai , turing, self-driving car
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Amazon Redshift is the fastest, most widely used, fully managed, and petabyte scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift ML,...


Keywords: unsupervised learning, machine learning, metric
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When tragedy happens, lawsuits tend to follow. This is no exception. And while it 8217 s understandable that grieving survivors often seek justice 8212 whether it 8217 s closure or compensation 8212 through the legal system, the legal system ...


Keywords: design, aws, rust, algorithms
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Data infrastructure startup unlocks frontline socioeconomic data, training the internet to be more inclusive. Humanitas Technologies, the impact data infrastructure startup that is building universal diversity, equity, and inclusion DEI API or 82...


Keywords: quant, algorithms, design, ai
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A popular line of recent research incorporates ML advice in the design of online algorithms to improve their performance in typical instances. These papers treat the ML algorithm as a black-box, and redesign online algorithms to take advantage of ML predictions. In this paper, we ask the complementary question: can we redesign ML algorithms to provide better predictions for online algorithms? We explore this question in the context of the classic rent-or-buy problem, and show that incorporating ...


Keywords: design, ml , algorithms
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We present new exact and approximation algorithms for 0-1-Knapsack and Unbounded Knapsack: * Exact Algorithm for 0-1-Knapsack: 0-1-Knapsack has known algorithms running in time $\widetilde{O}(n + \min\{n OPT, n W, OPT^2, W^2\})$, where $n$ is the number of items, $W$ is the weight budget, and $OPT$ is the optimal profit. We present an algorithm running in time $\widetilde{O}(n + (W + OPT)^{1.5})$. This improves the running time in case $n,W,OPT$ are roughly equal. * Exact Algorithm for Unbou...


Keywords: algorithms
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In this paper, I propose a new concept for understanding the role of algorithms in daily life: algorithmic authority. Algorithmic authority is the legitimate power of algorithms to direct human action and to impact which information is considered true. I use this concept to examine the culture of users of Bitcoin, a crypto-currency and payment platform. Through Bitcoin, I explore what it means to trust in algorithmic authority. My study of the Bitcoin community utilizes interview and survey data...


Keywords: crypto, algorithms, bitcoin, r ,
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Feature-based algorithm selection aims to automatically find the best one from a portfolio of optimization algorithms on an unseen problem based on its landscape features. Feature-based algorithm selection has recently received attention in the research field of black-box numerical optimization. However, there is still room for analysis of algorithm selection for black-box optimization. Most previous studies have focused only on whether an algorithm selection system can outperform the single-bes...


Keywords: analysis, algorithms
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Dynamic algorithm selection can be beneficial for solving numerical black-box problems, in which we implement an online switching mechanism between optimization algorithms. In this approach, we need to decide when a switch should take place and which algorithm to pick for the switching. Intuitively, this approach chains the algorithms for combining the well-performing segments from the performance profile of the algorithms. To realize efficient chaining, we investigate two important aspects - ho...


Keywords: algorithms

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