KDnuggets

OCTOBER 2, 2019

Applying a clustering algorithm is much easier than selecting the best one. Each type offers pros and cons that must be considered if you’re striving for a tidy cluster structure.

Clustering 290

Clustering Algorithm 290

KDnuggets

SEPTEMBER 10, 2019

In this post, I am going to be talking about some of the most important graph algorithms you should know and how to implement them using Python.

Algorithm 301

Algorithm Data Scientist Python Data Science 301

DataRobot

APRIL 12, 2019

The Algorithmic Accountability Act of 2019 would apply to any business which: This week, two U.S. senators have introduced a bill that would require large companies and specialist data traders to assess and manage the risks associated with automated decision systems.

Algorithm 80

Algorithm AI AI 80

Data Science 101

JUNE 3, 2019

Cloud Programming Simplified: A Berkeley View on Serverless Computing (2019) – Serverless computing is very popular nowadays and this article covers some of the limitations.

Data Science 96

Data Science Machine Learning Machine Learning Algorithm 96

KDnuggets

SEPTEMBER 18, 2019

Algorithms are at the core of data science and sampling is a critical technical that can make or break a project. Learn more about the most common sampling techniques used, so you can select the best approach while working with your data.

Algorithm 245

Algorithm Data Scientist Data Science 245

KDnuggets

AUGUST 26, 2019

Learn how probabilistic data structures and algorithms can be used for cardinality estimation in Big Data streams.

Big Data 263

Big Data Big Data Algorithm 263

Universe of Data Science

MARCH 12, 2023

The dce-GMDH type neural network algorithm is a heuristic self-organizing algorithm to assemble the well-known classifiers. Find out how to apply dce-GMDH algorithm for binary classification in R. Architecture of GMDH Algorithm (Dag et al., dce-GMDH algorithm is available in GMDH2 package (Dag et al., respectively.

Algorithm 52

Algorithm Clean Data Data Science 52

Flipboard

AUGUST 23, 2023

Back in 2019, Princeton University’s Arvind Narayanan, a professor of computer science and expert on algorithmic fairness, artificial intelligence and privacy, shared a set of slides on Twitter called “AI Snake Oil.” The presentation, which claimed that “much of what’s being sold as ‘AI’ today is …

Computer Science 123

Computer Science Computer Science Artificial Intelligence Artificial Intelligence 123

KDnuggets

AUGUST 28, 2019

Algorithms Notes for Professionals - Free Book; 10 simple Linux tips which save 50% of my time in the command line; Why so many #DataScientists are leaving their jobs; Order Matters: Alibaba Transformer-based Recommender System.

Algorithm 156

Algorithm 156

Hacker News

APRIL 16, 2023

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Algorithm 123

Algorithm 123

Smart Data Collective

MARCH 29, 2019

In 2019, crypto scams where the most common type of online security breaches. CIO reports that CryptoLocker was one of the worst ransomware attacks of 2019. Rather, it is due to the fact that the algorithms are simply different. Other crypto scams will be even more prevalent in the future. Identifying sources of attacks.

Predictive Analytics 60

Predictive Analytics Analytics Analytics Algorithm 60

Dataconomy

OCTOBER 30, 2023

The gaming world faced a jolt as details of a data breach on the now-defunct GameSprite platform from December 2019 have surfaced after a long silence. This breach uncovered four years later, compromised the personal information of over 6 million users. Despite password hashing and salting, the breach exposed vulnerabilities.

Database 132

Database Algorithm 132

KDnuggets

AUGUST 21, 2019

Check out this tutorial walking you through a comparison of XGBoost and Random Forest. You'll learn how to create a decision tree, how to do tree bagging, and how to do tree boosting.

Decision Trees 208

Decision Trees Algorithm Python 208

KDnuggets

SEPTEMBER 25, 2019

Learn about unexpected risk of AI applied to Big Data; Study 5 Sampling Algorithms every Data Scientist needs to know; Read how one data scientist copes with his boring days of deploying machine learning; 5 beginner-friendly steps to learn ML with Python; and more.

Data Scientist 118

Data Scientist Big Data Big Data Algorithm 118

ML Review

DECEMBER 16, 2019

Let’s check out the goodies brought by NeurIPS 2019 and co-located events! Source: HyperE Traditional embedding algorithms place the learned vectors in Euclidean “flat” space of possibly high dimensionality (50–200) where distance between two vectors can be expressed with Euclidean geometry.

Machine Learning 52

Machine Learning Machine Learning Algorithm Database 52

KDnuggets

AUGUST 7, 2019

There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics; however, many algorithms sprout from the most established algorithms, e.g. ordinary least squares, gradient boosting, support vector machines, tree-based algorithms and neural networks.

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Support Vector Machines Algorithm Machine Learning Machine Learning 253

Hacker News

MAY 13, 2024

The indictment against Khoroshev says he used the hacker nickname Putinkrab , and Intel 471 says this corresponds to a username that was first registered across three major Russian cybercrime forums in early 2019. A machine-translated ad for ransomware source code from Putinkrab on the Russian language cybercrime forum UFOlabs in 2019.

Algorithm 181

Algorithm 181

AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section.

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AWS Algorithm Machine Learning Machine Learning 126

KDnuggets

DECEMBER 17, 2019

Read this overview of a complete pipeline for detecting pedestrians on the road.

Algorithm 158

Algorithm Python 158

Towards AI

SEPTEMBER 10, 2023

Observed region in Hunter Valley in July 2019 These 13 bands facilitate the computation of indices that estimate vegetation health, detect changes in the landscape, and even estimate the risk of bushfires. One of the invaluable indices derived from Sentinel-2’s spectral bands is the Enhanced Vegetation Index (EVI).

Clustering 113

Clustering AI AI Algorithm 113

Smart Data Collective

SEPTEMBER 30, 2021

It’s no secret that artificial intelligence and technology has been developing quickly in recent times, with applications such as CAPTCHA that prevent bots from accessing sites, thermostats that adapt to our daily schedules or even algorithms that could choose potential vacation destinations for us. Overall, droughts have cost the world $1.5

Machine Learning 123

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 123

Dataversity

FEBRUARY 16, 2022

Next in our blog series exploring interesting analytics use cases, we examine how machine learning algorithms dictate the music we listen to every day. In 2019, the music streaming market was valued at $12,831.2 million – a figure that’s expected to nearly double by 2027.

Analytics 52

Analytics Analytics Machine Learning Machine Learning 52

Chatbots Life

MAY 16, 2024

IF THERE IS A SIN, THIS IS THE ONLY SIN; TO SAY THAT YOU ARE WEAK, OR OTHERS ARE WEAK” - By Swami Vivekanand Is Deep Learning now overtaking the Machine Learning algorithm? As we know to perform any Machine Learning algorithm we require a humongous amount of data and very high computation power. Must Watch. What is Deep Learning?

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

NYU Center for Data Science

JUNE 2, 2023

Louis’ professional background includes working as a Principal at EML Capital Management from 2019 to 2022, focusing on research and development of quantitative trading strategies tailored to the corporate credit market. He previously worked as a Senior Consultant at Protiviti, focusing on forecasting models for global banks.

Data Science 77

Data Science Algorithm Machine Learning Machine Learning 77

Dataconomy

APRIL 22, 2024

From the playlists that jumpstart our mornings to the shows that keep us glued to the couch at night, AI algorithms are quietly learning our preferences and influencing the cultural experiences we choose nowadays. Numerous other users are confirming that they are also experiencing this problem, indicating it might be a widespread issue.

Algorithm 103

Algorithm AI AI 103

ML @ CMU

SEPTEMBER 13, 2024

2019 , 2023; Nasr et al., In this section, we formally define and introduce our MiniPrompt algorithm that we use to answer our central question. In 28th USENIX security symposium (USENIX security 19) , pages 267–284, 2019. Carlini et al., 2023; Zhang et al., Membership inference attacks from first principles.

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Algorithm Machine Learning Machine Learning AI 317

KDnuggets

DECEMBER 24, 2019

This article is about Market Basket Analysis & the Apriori algorithm that works behind it.

Algorithm 346

Algorithm Data Mining Data Mining Data Mining 346

KDnuggets

OCTOBER 21, 2019

If you are interested in learning more about the latest Youtube recommendation algorithm paper, read this post for details on its approach and improvements.

Algorithm 308

Algorithm 308

Towards AI

JULY 20, 2023

Simple Introduction to Web Navigation Problems Photo by Émile Perron on Unsplash Model reinforcement learning algorithms have achieved astonishing results in many real-world games, such as Alpha Go and OpenAI Five. Specifically, we discuss an algorithm, named QWeb proposed by Gur et al.

Algorithm 40

Algorithm AI AI Deep Learning 40

KDnuggets

SEPTEMBER 17, 2019

The article contains a brief introduction of Bioinformatics and how a machine learning classification algorithm can be used to classify the type of cancer in each patient by their gene expressions.

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Machine Learning Machine Learning Algorithm Python 298

Towards AI

FEBRUARY 3, 2024

(Left) Photo by Pawel Czerwinski on Unsplash U+007C (Right) Unsplash Image adjusted by the showcased algorithm Introduction It’s been a while since I created this package ‘easy-explain’ and published on Pypi. A few weeks ago, I needed an explainability algorithm for a YoloV8 model. The truth is, I couldn’t find anything. Lapuschkin, S.,

AI 111

AI AI Algorithm Artificial Intelligence 111

Smart Data Collective

SEPTEMBER 30, 2022

In 2018-2019, budding blockchain-based advertising projects provided the first opportunity to buy clean and secure traffic, enriched with genuine data about ad campaign performance. In 2019, this environment evolved, multiplying the number of blockchain marketing startups from 22 (2017) to 290 (2019) , which is more than 13 times in a year.

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Database Algorithm AI AI 137

Hacker News

MARCH 23, 2023

Nvidia’s answer, cuLitho, is a set of algorithms designed for use with GPUs, that turns what has been two weeks of work into an overnight job. Silicon Valley-based D2S announced a GPU-based computer custom built for the problem in 2019. Inverse lithography’s use has been limited by the massive size of the needed computation.

Algorithm 175

Algorithm 175

AWS Machine Learning Blog

MAY 15, 2023

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. Deep/neural network algorithms also perform very well on sparse data set and in cold-start (new item introduction) scenarios.

Algorithm 83

Algorithm Data Scientist Machine Learning Machine Learning 83

KDnuggets

OCTOBER 3, 2019

There is no clear outline on how to study Machine Learning/Deep Learning due to which many individuals apply all the possible algorithms that they have heard of and hope that one of implemented algorithms work for their problem in hand.

Machine Learning 218

Machine Learning Machine Learning Deep Learning Deep Learning 218

Mlearning.ai

SEPTEMBER 24, 2023

A brute-force search is a general problem-solving technique and algorithm paradigm. Maximum Time by the algorithm The running time complexity (Big O notation) is different for different algorithms. Big O notation is a mathematical concept to describe the complexity of algorithms. 2019) Data Science with Python.

Cross Validation 52

Cross Validation Algorithm Supervised Learning Python 52

Towards AI

NOVEMBER 16, 2024

Song and Ermon (2019) [13] proposed score-based generative modelling methods where samples are produced via Langevin dynamics using gradients of the data distribution estimated with Stein score-matching. As T → ∞, ϵ → 0, and x_T converges to the true probability density p(x).

ML 84

ML ML AI AI 84