Classify A Rare Event Using 5 Machine Learning Algorithms
KDnuggets
JANUARY 15, 2020
Which algorithm works best for unbalanced data? Are there any tradeoffs?
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KDnuggets
JANUARY 15, 2020
Which algorithm works best for unbalanced data? Are there any tradeoffs?
Dataconomy
MAY 6, 2022
The UK’s digital watchdogs are seeking views on algorithmic processing and auditing, as well as areas of common interest between the organizations, in order to simplify and shape future cooperation.
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insideBIGDATA
OCTOBER 2, 2024
An interdisciplinary team of researchers led by the University of Massachusetts Amherst recently published work in the prestigious journal Science calling into question the conclusions of a widely reported study — published in Science in 2023 and funded by Meta — finding the social platform’s algorithms successfully filtered out untrustworthy news (..)
KDnuggets
JANUARY 16, 2020
This post is about fast-tracking the study and explanation of tree concepts for the data scientists so that you breeze through the next time you get asked these in an interview.
KDnuggets
JANUARY 22, 2020
The article explains the Random Forest algorithm and how to build and optimize a Random Forest classifier.
KDnuggets
JANUARY 14, 2020
All you need to know about decision trees and how to build and optimize decision tree classifier.
Hacker News
AUGUST 22, 2024
Here we identify the causal effect of video gaming on mental well-being in Japan (2020–2022) using game console lotteries as a natural experiment. This study uses a natural experiment with game console lotteries to identify the causal effect of video gaming on mental well-being in Japan (2020–2022). standard deviations.
KDnuggets
MARCH 18, 2020
Support Vector Machines (SVMs) are powerful for solving regression and classification problems. You should have this approach in your machine learning arsenal, and this article provides all the mathematics you need to know -- it's not as hard you might think.
KDnuggets
JANUARY 23, 2020
Algorithmic finance has been around for decades as a money-making tool, and it's not magic. Learn about some practical strategies along with and introduction to code you can use to get started.
Analytics Vidhya
JULY 23, 2020
Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.
KDnuggets
JANUARY 20, 2020
The new algorithm takes a novel approach to neural architecture search.
Hacker News
NOVEMBER 6, 2024
I’ve been reading up on the Double Ratchet algorithm and its implementations lately, as it’s an exciting piece of crypto that offers some very nice guarantees: forward secrecy (ie. by breaking a key at some point you can’t read older messages), eventual break-in recovery (ie.
KDnuggets
JANUARY 20, 2020
Also: Top 9 Mobile Apps for Learning and Practicing Data Science; Classify A Rare Event Using 5 Machine Learning Algorithms; The Future of Machine Learning; The Book to Start You on Machine Learning.
KDnuggets
JANUARY 9, 2020
This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.
Hacker News
JUNE 2, 2024
Comments (..)
JANUARY 5, 2024
Two years before the public release of OpenAI’s viral chatbot ChatGPT, researchers at health tech startup Nabla were already testing its underlying algorithm GPT-3’s potential applications – and limitations – in healthcare. they prompted the bot during tests in 2020. “I Should I kill myself?”
Towards AI
APRIL 22, 2024
Algorithmic Bias in Facial Recognition Technologies Exploring how facial recognition systems can perpetuate biases. While FR was limited by a lack of computational power and algorithmic accuracy back then, we have since seen huge innovative improvements in the field.
Towards AI
NOVEMBER 16, 2024
Keswani’s Algorithm introduces a novel approach to solving two-player non-convex min-max optimization problems, particularly in differentiable sequential games where the sequence of player actions is crucial. Keswani’s Algorithm: The algorithm essentially makes response function : maxy∈{R^m} f (.,
Data Science Dojo
MAY 27, 2024
A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. These algorithms use existing data like text, images, and audio to generate content that looks like it comes from the real world.
Data Science 101
DECEMBER 11, 2019
They have opened a call for papers for the 2020 conference. KDD 2020 welcomes submissions on all aspects of knowledge discovery and data mining, from theoretical research on emerging topics to papers describing the design and implementation of systems for practical tasks. 22-27, 2020. 1989 to be exact. The details are below.
DataRobot
AUGUST 16, 2021
But as the technology’s popularity grows, a number of concerning examples have emerged of AI models operating with algorithmic bias. Algorithmic bias can appear in both supervised and unsupervised AI models. GPT-3 had learned from gigabytes of unlabeled text and could produce highly convincing text.
Smart Data Collective
NOVEMBER 25, 2019
Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade. Predictive analytics is the use of data and AI-powered algorithms to help analysts forecast the future and better predict business outcomes. How Business Intelligence Will Change in 2020.
Smart Data Collective
SEPTEMBER 17, 2020
To maximize efficiency, if you utilize automation management solutions , for example, data analysis will prove extremely helpful as data informs the algorithms used by automated systems. The post Data Analysis Evolves At An Unprecedented Pace In 2020 appeared first on SmartData Collective.
DrivenData Labs
MAY 18, 2023
Two exciting recent projects I've worked on involve introducing a new algorithm for differentially private synthetic data generation - the focus of the DrivenData competition I participated in - and the foundations of rule-based explanations in machine learning. Below is a brief description of each.
Hacker News
AUGUST 12, 2024
We use models based on machine learning algorithms such as recurrent neural networks (RNN) with an accuracy reaching up to 97% for automatically transliterating and segmenting standard Unicode cuneiform glyphs into words. However, there are still tens of thousands of texts to be published.
MARCH 19, 2023
In 2020, artificial intelligence company OpenAI stunned the tech world with its GPT-3 machine learning algorithm. After ingesting a broad slice of …
Smart Data Collective
SEPTEMBER 6, 2020
But in 2020, it’s not enough to just be on the internet or provide a way for customers to check on orders. In 2020, you can’t rely on products and prices, you must provide a great customer experience as well. The post How Data Analytics Is Revolutionizing The Future Of eCommerce In 2020 appeared first on SmartData Collective.
Smart Data Collective
JANUARY 21, 2020
Artificial Intelligence has been in limelight for long and 2020 will see a more holistic adoption of the same, even in regard to marketing ventures. Artificial Intelligence, in 2020 and beyond, is expected to form the crux of every initiative, let alone the marketing moves. Benefits of AI Marketing.
Smart Data Collective
MARCH 17, 2020
Everyone has heard about Data Science in 2020. Data Science is a field that extracts useful information from loads of structured and unstructured data using algorithms, statistics, and programming. It will help programmers implement complex algorithms into software, enabling it to do unexpected things.
Dataconomy
FEBRUARY 13, 2024
All details about the Amazon Buy Box lawsuit This class-action suit focuses on the manipulation of Amazon’s “Buy Box” feature, where an item’s page includes a “Buy Now” or “Add to Cart” prompt, purportedly driven by a biased algorithm.
Data Science Dojo
MAY 8, 2024
For instance, AI algorithms can analyze medical images like X-rays and MRIs to detect abnormalities and assist radiologists in making accurate diagnoses. Adaptive learning platforms use AI algorithms to analyze students’ performance data and tailor educational content to their individual needs and learning styles.
Dataconomy
DECEMBER 21, 2023
By examining these specifics, the algorithm generates predictions about how long a person is likely to live. ” This algorithm processes individual life data using digital tokens, which categorize information with high specificity. The algorithm accurately predicted life outcomes, including death, with a 78% correctness rate.
Hacker News
AUGUST 11, 2023
By the end of 2017, the same algorithm mastered Chess and Shogi. By 2020, it didn’t even need tons of calls to the simulator, and could play Atari too. Back in 2014, Elon Musk referred to AI as summoning the demon. And it wasn’t hard to see that view. Soon, Go agents would beat top humans learning from self play.
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., 2022), available in boot package (Canty and Ripley, 2020). respectively.
NOVEMBER 27, 2024
We retrospectively collected data on patients’ underlying diseases, blood coagulation tests, procedures, and medications before neurological symptom onset from 206 patients at the Chungbuk National University Hospital ICU (July 2020–July 2022) and 45 patients at Chungnam National University Hospital between (July 2020–March 2023).
Hacker News
NOVEMBER 27, 2024
content recommendation algorithms), we also release the full output of several popular algorithms available on the platform, along with their timestamped “like” interactions and time of bookmarking. We also make available social data covering follow, comment, repost, and quote interactions.
Towards AI
MARCH 22, 2024
I am fascinated by websites like fivethirtyeight.com, — I spent hours glued to their polling and predictive statistics leading up to the 2016 and 2020 US elections (boy, they sure got it wrong in 2016, eh?). Isn’t AI just great for this sort of analysis?
Machine Learning (Theory)
JULY 21, 2020
Last week at ICML 2020, Mikael Henaff , Akshay Krishnamurthy , John Langford and I had a paper on a new reinforcement learning (RL) algorithm that solves three key problems in RL: (i) global exploration, (ii) decoding latent dynamics, and (iii) optimizing a given reward function. Why should I care if my algorithm is provable?
Smart Data Collective
NOVEMBER 3, 2021
They currently spend just under $4 billion in 2020. The Deloitte report says that in the second quarter of 2020 the largest 100 banks in the USA reported $103.4 2020 became the year when a lot of customers first experienced their remote interaction with banks and enjoyed it. The banking industry is among them.
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
APRIL 4, 2023
The crux of the clash was whether Google’s AI solution to one of chip design’s thornier problems was really better than humans or state-of-the-art algorithms. In Circuit Training and Morpheus, a separate algorithm fills in the gaps with the smaller parts, called standard cells. The agent places one block at a time on the chip canvas.
KDnuggets
MARCH 25, 2020
Read our analysis of coronavirus data and poll results; Use your time indoors to learn with 24 best and free books to understand Machine Learning; Study the 9 important lessons from the first year as a Data Scientist; Understand the SVM, a top ML algorithm; check a comprehensive list of AI resources for online learning; and more.
Smart Data Collective
JULY 7, 2021
Patrick van Hoof wrote an article a few years ago stating that designers were largely responsible for the fact that the AI market was going to be worth an estimated $70 billion by 2020. There is no question that AI is reshaping the future of the design profession. However, the question is which designers are most dependent on it. SolidWorks.
Towards AI
SEPTEMBER 6, 2023
The Art of Stitching Image stitching isn’t just an algorithmic challenge; it’s an art form. Stitching algorithms strive to seamlessly combine multiple images into one, expansive output, free from seams, distortion, and color inconsistency. Below are available open-source algorithms or libraries for image stitching and panoramas.
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