FlowingData

AUGUST 6, 2021

The Wall Street Journal tested out the TikTok algorithm with bots to see how quickly the app converged towards a user’s pre-specified interests. The concerning part is that almost all TikTok videos are served based on the algorithm, which makes it easy to fall into terrible rabbit holes.

Algorithm 141

Algorithm 141

Data Science Dojo

JULY 31, 2023

AI in SEO: Search landscape and empowering financial institutions Basically, AI has managed to prove that you don’t need teams of people looking up keywords, creating content, developing SEO strategies, writing meta tags, and doing all the rest of the tedious tasks that the “SEO bros” have spent their time on over the last decade.

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AI AI Algorithm Machine Learning 358

FlowingData

JANUARY 23, 2024

Found in a trove of hacked police records published by the transparency collective Distributed Denial of Secrets, it appears to be the first known instance of a police department attempting to use facial recognition on a face algorithmically generated from crime-scene DNA. What’s the confidence interval equivalent for a face?

Algorithm 97

Algorithm 97

Data Science Dojo

JUNE 16, 2023

OpenAI’s machine learning algorithms can also automate certain tasks, such as image or voice recognition, allowing developers to focus on other aspects of the app. For instance, using OpenAI algorithms, a mobile app can analyze user data to provide tailored recommendations, making the user experience more intuitive and enjoyable.

Predictive Analytics 195

Predictive Analytics Natural Language Processing AI AI 195

FlowingData

AUGUST 18, 2021

The aRtsy package by Koen Derks makes algorithms more straightforward to use. Tags: generative art , R. Generative art seems to be having a moment right now, so it’s only appropriate that there’s an R package to help you make some. Set parameters and you’re off.

Algorithm 121

Algorithm 121

FlowingData

MARCH 15, 2024

A decade after his death, the resulting algorithm lets Anderson type in prompts before an AI Reed begins “riffing” written responses back to her, in prose and verse. Tags: AI , chatbot , Guardian , Large Language Model I’m totally 100%, sadly addicted to this,” she laughs.

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AI AI Algorithm 88

FlowingData

SEPTEMBER 27, 2022

Tags: analysis , principle. Briefly, the elements of an analysis are the individual basic components of the analysis that, when assembled together by the analyst, make up the entire analysis.

Data Analysis 126

Data Analysis Data Analysis Data Visualization Data Analyst 126

FlowingData

DECEMBER 7, 2021

.” The company’s edge, he said, comes from combining machine learning with “fantastic volumes of data, highly engaged users, and a setting where users are amenable to consuming algorithmically recommended content (think how few other settings have all of these characteristics!). Not some algorithmic magic.”

Algorithm 92

Algorithm Computer Science Computer Science Machine Learning 92

FlowingData

OCTOBER 17, 2022

One of the algorithm’s developers told ProPublica that leasing agents had “too much empathy” compared to computer generated pricing. Tags: algorithm , housing , ProPublica , rent. For tenants, the system upends the practice of negotiating with apartment building staff.

Algorithm 90

Algorithm 90

Data Science Dojo

SEPTEMBER 8, 2023

It replaces complex algorithms with neural networks, streamlining and accelerating the predictive process. ML encompasses a range of algorithms that enable computers to learn from data without explicit programming. Techniques Uses statistical models, machine learning algorithms, and data mining.

Predictive Analytics 243

Predictive Analytics Analytics Analytics Deep Learning 243

Towards AI

DECEMBER 28, 2023

NLTK serves various purposes including text preprocessing, translation, and NLP tasks such as text classification, utilizing a multitude of implemented algorithms. It stands as one of the most revered and recognized packages in Python, demonstrated by its impressive 12.6k stars on GitHub.

Natural Language Processing 93

Natural Language Processing Python Artificial Intelligence Artificial Intelligence 93

Dataconomy

SEPTEMBER 22, 2023

Intelligent data classification Intelligent data classification is a process where artificial intelligence (AI) algorithms are used to automatically categorize and classify data based on its content, relevance, and importance; getting data ready for archiving. There are several ways to use AI for data archiving.

Clustering 185

Clustering Algorithm Data Classification Machine Learning 185

How to Learn Machine Learning

APRIL 15, 2023

It uses machine learning algorithms to understand the context and generate content based on the input given. Machine translation uses algorithms to translate text from one language to another. Content optimization uses AI algorithms to analyze content and suggest changes to improve its quality.

AI 52

AI AI Algorithm Machine Learning 52

Snorkel AI

OCTOBER 23, 2023

Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. Tagging information like color, style, and pattern can make all the difference in a customer finding the right product at the right time. blue outdoor pillows”), they rely on product tags (e.g.

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ML ML Machine Learning Machine Learning 64

FlowingData

OCTOBER 21, 2021

The Times combined and reformatted the data using Py-ART, a collection of algorithms and utilities used regularly in radar analysis. Tags: Dixie Fire , New York Times , radar , smoke. We then filtered it to reduce noise. We applied color and texture to the 3-D volume to approximate a smoke- and cloud-like look.

Algorithm 111

Algorithm 111

Data Science Dojo

JANUARY 19, 2024

It’s a collection of algorithms designed to recognize patterns, much like how our brain identifies patterns and learns from experiences. This process is often coupled with an optimization algorithm like gradient descent, which minimizes the error or loss function. What is a neural network?

Natural Language Processing 195

Natural Language Processing Algorithm Deep Learning Deep Learning 195

Snorkel AI

OCTOBER 23, 2023

Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. Tagging information like color, style, and pattern can make all the difference in a customer finding the right product at the right time. blue outdoor pillows”), they rely on product tags (e.g.

ML 59

ML ML Machine Learning Machine Learning 59

FlowingData

AUGUST 30, 2021

This paper develops efficient algorithms for (self-)repulsion of plane and space curves that are well-suited to problems in computational design. Tags: curves , optimization , research. Our starting point is the so-called tangent-point energy, which provides an infinite barrier to self-intersection. Be sure to watch the video demo.

Algorithm 107

Algorithm 107

Snorkel AI

AUGUST 22, 2023

We use machine learning algorithms to analyze and understand the descriptive information (e.g. What are product tags? We use product tags to organize and store descriptive information about our products. These tags capture specific attributes of each product, such as its color, design, and pattern, in a structured manner.

Machine Learning 52

Machine Learning Machine Learning Data Preparation Artificial Intelligence 52

Snorkel AI

AUGUST 22, 2023

We use machine learning algorithms to analyze and understand the descriptive information (e.g. What are product tags? We use product tags to organize and store descriptive information about our products. These tags capture specific attributes of each product, such as its color, design, and pattern, in a structured manner.

Machine Learning 52

Machine Learning Machine Learning Data Preparation Artificial Intelligence 52

Smart Data Collective

JANUARY 18, 2021

YouTube’s search algorithm ranks videos much like other search engines. Since YouTube uses big data in its search algorithm, you can reverse engineer the process by using big data to reach more viewers. Since YouTube uses big data in its search algorithm, you can reverse engineer the process by using big data to reach more viewers.

Analytics 104

Analytics Analytics Big Data Big Data 104

Dataconomy

JUNE 29, 2023

Python machine learning packages have emerged as the go-to choice for implementing and working with machine learning algorithms. The field of machine learning, known for its algorithmic complexity, has undergone a significant transformation in recent years. Why do you need Python machine learning packages?

Machine Learning 113

Machine Learning Machine Learning Deep Learning Deep Learning 113

Dataconomy

JANUARY 23, 2024

Google’s algorithm organises these results based on a few key factors : The meaning of the query and its context – Google analyses the intent behind the user’s words, as well as information such as location or past search history. Using header tags (H1, H2, H3, etc) to structure your content. Optimising your images.

Algorithm 103

Algorithm 103

Towards AI

FEBRUARY 20, 2024

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms. You might be using machine learning algorithms from everything you see on OTT or everything you shop online.

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Machine Learning Machine Learning ML ML 85

Towards AI

APRIL 14, 2023

Correctly predicting the tags of the questions is a very challenging problem as it involves the prediction of a large number of labels among several hundred thousand possible labels. In the second part, I will present and explain the four main categories of XML algorithms along with some of their limitations.

K-nearest Neighbors 89

K-nearest Neighbors Algorithm Clustering Support Vector Machines 89

Heartbeat

APRIL 17, 2023

Photo by Shahadat Rahman on Unsplash Introduction Machine learning (ML) focuses on developing algorithms and models that can learn from data and make predictions or decisions. In the same way, ML algorithms can be trained on large datasets to learn patterns and make predictions based on that data. Image from: [link] How does NRE Work?

Natural Language Processing 52

Natural Language Processing Support Vector Machines Machine Learning Machine Learning 52

AWS Machine Learning Blog

APRIL 19, 2024

Amazon Personalize provisions the necessary infrastructure and manages the entire ML pipeline, including processing the data, identifying features, using the appropriate algorithms, and training, optimizing, and hosting the customized models based on your data. Optionally, add any tags.

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AWS ML ML Machine Learning 96

O'Reilly Media

OCTOBER 12, 2021

But a unit test has no way of telling whether a function is implemented using quicksort, permutation sort , (which completes in factorial time), sleep sort , or one of the other strange sorting algorithms that Kevlin has been writing about. Do we care? Well, we care about O(N log N) behavior versus O(N!). And again, do we care, and why?

Algorithm 120

Algorithm AI AI AWS 120

Mlearning.ai

APRIL 11, 2023

Output using Meta’s SAM for tagging boxes Quality Management in manufacturing Image Segmentation can be used for quality management in manufacturing by identifying defective items. By leveraging the power of this technology, warehouses can improve their efficiency, reduce errors, and save time and money.

Algorithm 98

Algorithm Artificial Intelligence Artificial Intelligence AI 98

Towards AI

AUGUST 16, 2023

We can apply a data-centric approach by using AutoML or coding a custom test harness to evaluate many algorithms (say 20–30) on the dataset and then choose the top performers (perhaps top 3) for further study, being sure to give preference to simpler algorithms (Occam’s Razor).

AI 84

AI AI Machine Learning Machine Learning 84

Flipboard

APRIL 6, 2023

In addition to using the technology on the back-end to create headlines, research keywords, generate meta tags and product descriptions, Ingenio has published more than 1,000 articles around popular search queries on Horoscope.com and Astrology.com using generative AI since the beginning of 2022.

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AI AI Data Analysis Data Analysis 129

Towards AI

DECEMBER 28, 2023

Black box algorithms such as xgboost emerged as the preferred solution for a majority of classification and regression problems. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

Natural Language Processing 110

Natural Language Processing Deep Learning Deep Learning Python 110

Snorkel AI

JANUARY 30, 2024

Document chunking and tagging First, we had to improve how the application chunked and tagged documents. The original algorithm used fixed parameters, which proved too rigid. Used correctly, they form the foundation of an application ecosystem where data feeds various system components both upstream and downstream.

AI 52

AI AI Algorithm Data Scientist 52

Snorkel AI

JANUARY 30, 2024

Document chunking and tagging First, we had to improve how the application chunked and tagged documents. The original algorithm used fixed parameters, which proved too rigid. Used correctly, they form the foundation of an application ecosystem where data feeds various system components both upstream and downstream.

AI 52

AI AI Algorithm Data Scientist 52

Dataconomy

JANUARY 23, 2024

Artificial Intelligence (AI) algorithms automate repetitive tasks so that you can concentrate on the more creative aspects of design rather than having to manually code every element of a website. Although they promise efficiency and automation, high-end tools frequently have premium price tags, and the initial outlay can be intimidating.

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AI AI Algorithm Artificial Intelligence 132

IBM Journey to AI blog

DECEMBER 18, 2023

Synthetic data is where algorithms and simulations attempt to create the experience of an “average” user based on representative data samples. NS1 Connect adds JavaScript tags to that web property which collect information about inbound user traffic. Are there alternatives to RUM data? Why “real”? Actually, yes!

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Algorithm Analytics Analytics AI 70

Mlearning.ai

JULY 23, 2023

Part of Speech (POS) Tagging : Assigning grammatical tags to words in a sentence. In the training phase, a machine learning algorithm is fed a large amount of labeled data — text documents already assigned to specific categories. The algorithm learns from this data, understanding the distinguishing features of each category.

Algorithm 52

Algorithm Natural Language Processing Artificial Intelligence Artificial Intelligence 52