Machine Learning Research at Apple

APRIL 28, 2024

Deep learning models can perform the task but at the expense of large labeled datasets, which are unfeasible to procure at scale.

Supervised Learning 147

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KDnuggets

DECEMBER 13, 2021

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.

Machine Learning 384

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KDnuggets

MAY 22, 2023

I'm thrilled to share that recent advancements in the computer vision field, such as the emergence of groundbreaking zero-shot object detectors like Grounding DINO, have revolutionized the image labeling process.

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KDnuggets

MARCH 17, 2023

In this comprehensive article, we have demonstrated that a seemingly simple task of multi-label text classification can be challenging when traditional methods are applied. We have proposed the use of distribution-balancing loss functions to tackle the issue of class imbalance.

Natural Language Processing 293

Natural Language Processing 293

KDnuggets

FEBRUARY 18, 2022

This guide will explore how we can use machine learning to label data. AI and machine learning can provide us with these tools.

Machine Learning 375

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Dataversity

APRIL 29, 2024

In the rush to adopt AI across diverse sectors, today’s enterprises face a common hurdle: efficient data labeling at scale. Organizations are overwhelmed by the influx of image data, highlighting the need to process and label it for practical use.

AI 59

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Analytics Vidhya

JANUARY 31, 2022

The problem of assigning more than one relevant label to the text is known as Multi-label Classification. The post Multi-label Text Classification Using Transfer Learning powered by “Optuna” appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

Data Science 250

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Analytics Vidhya

MARCH 5, 2020

When should you use One-Hot Encoding over Label Encoding? The post One-Hot Encoding vs. Label Encoding using Scikit-Learn appeared first on Analytics Vidhya. What is One-Hot Encoding? These are typical data science interview questions every aspiring data scientist.

Data Scientist 286

Data Scientist Data Science Analytics Analytics 286

Dataconomy

APRIL 18, 2024

What Is white label payment gateway? A white-label payment gateway is a pre-made system for handling online transactions. If we talk about white label payment solutions for crypto, this technology allows cryptocurrency transactions with Bitcoin, Ethereum, Litecoin, Tether, and others. Let’s see what it is and how it works.

Machine Learning 103

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Analytics Vidhya

MARCH 11, 2023

OCR can accurately predict the output in a matter of milliseconds. […] The post Understanding Label Detection in Invoices using OpenCV appeared first on Analytics Vidhya. Optical Character Recognition, or OCR, uses computer vision to find and read the text in images.

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Algorithm Analytics Analytics 236

Hacker News

SEPTEMBER 4, 2023

Most people accept the gimmicks of food labelling. One lawyer can’t stomach them.

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Dataconomy

SEPTEMBER 20, 2023

Today, TikTok is introducing a new tool that empowers creators to label their AI-generated content, reinforcing its commitment to media literacy and responsible innovation. A new tool that allows creators to clearly and easily label their AI-generated content. TikTok’s solution?

AI 103

AI AI Artificial Intelligence Artificial Intelligence 103

Machine Learning Research at Apple

FEBRUARY 23, 2023

Self-training (ST), or pseudo-labeling has sparked significant interest in the automatic speech recognition (ASR) community recently because of its success in harnessing unlabeled data.

Supervised Learning 130

Supervised Learning 130

Dataconomy

OCTOBER 17, 2023

In our exploration of white-label solutions for crypto exchanges, we’ve come across [link] , an online trading platform that adds a unique dimension to the industry. To simplify and expedite entry into the market, white-label crypto exchange solutions have emerged as market-ready models.

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Flipboard

JUNE 12, 2023

Data labeling has long been a critical component of helping data scientists to prepare data for machine learning (ML) and artificial intelligence (AI). In the modern era of Generative AI, the role of data labeling is changing. Today Snorkel AI is announcing new capabilities that extend beyond data …

Artificial Intelligence 166

Artificial Intelligence Artificial Intelligence AI AI 166

Machine Learning Research at Apple

MAY 10, 2023

Specifically, self-training, or pseudo-labeling, labels unsupervised data and adds that to the training pool. In this work, we investigate and use pseudo-labeling for a recently proposed novel setup: joint transcription and translation of speech, which suffers from an absence of sufficient parallel data resources.

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Hacker News

MARCH 6, 2024

Known makes semi-smart, waterproof, weatherproof plant labels that help you remember your plants — an alternative to traditional plant tags and markers

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Flipboard

DECEMBER 16, 2023

How can data labeling be done efficiently? Successful machine learning models are built on the shoulders of large volumes of high-quality training …

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Towards AI

FEBRUARY 19, 2024

However, this method is not easily replicable due to the extensive need for human labelers. Forget Human Labelers! used RLHF to reinforce the LLM to make it ChatGPTComplete Code Walkthrough: Train Your Own RLHF ModelComplete Code Walkthrough: How to make the LLM Reinforce Itself Without Human Labelers, i.e

AI 99

AI AI Machine Learning Machine Learning 99

KDnuggets

DECEMBER 13, 2021

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.

Machine Learning 208

Machine Learning Machine Learning Data Science Data Mining 208

Analytics Vidhya

JULY 20, 2021

The post Demystifying the Difference Between Multi-Class and Multi-Label Classification Problem Statements in Deep Learning appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction While solving the classification problem statements using Deep Learning, we.

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AWS Machine Learning Blog

DECEMBER 14, 2023

To reduce the effort of preparing training data, we built a pre-labeling tool using AWS Step Functions that automatically pre-annotates documents by using existing tabular entity data. Solution overview In this section, we discuss the inputs and outputs of the pre-labeling tool and provide an overview of the solution architecture.

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Smart Data Collective

JUNE 22, 2023

One such field is data labeling, where AI tools have emerged as indispensable assets. This article will discuss the influence of artificial intelligence and machine learning in data labeling. Data Labeling, Machine Learning, and Artificial Intelligence It is necessary to understand what data labeling and what data labeling tools are.

Machine Learning 92

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 92

Analytics Vidhya

APRIL 21, 2019

Introduction I was intrigued going through this amazing article on building a multi-label image classification model last week. The post Predicting Movie Genres using NLP – An Awesome Introduction to Multi-Label Classification appeared first on Analytics Vidhya. The data scientist in me started.

Data Scientist 296

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Analytics Vidhya

APRIL 14, 2019

The post Build your First Multi-Label Image Classification Model in Python appeared first on Analytics Vidhya. Introduction Are you working with image data? There are so many things we can do using computer vision algorithms: Object detection Image segmentation Image.

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Smart Data Collective

SEPTEMBER 17, 2023

It can be especially helpful with white label SEO. Find a Reputable White Label Agency that Uses Data Analytics that You Can Work With Is your company struggling to meet your clients’ SEO needs? SEO reselling involves using a white label SEO agency to perform your clients’ SEO work.

Data Mining 107

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KDnuggets

DECEMBER 4, 2019

Let’s say your project is humongous and needs data labeling to be done continuously - while you’re on-the-go, sleeping, or eating. I’m sure you’d appreciate User-generated Data Labeling. I’ve got 6 interesting examples to help you understand this, let’s dive right in!

Data Preparation 191

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Dataversity

SEPTEMBER 25, 2023

In an era where large language models (LLMs) are redefining AI digital interactions, the criticality of accurate, high-quality, and pertinent data labeling emerges as paramount. That means data labelers and the vendors overseeing them must seamlessly blend data quality with human expertise and ethical work practices.

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Smart Data Collective

OCTOBER 9, 2023

Private label supplement manufacturers, in particular, are using AI to help automate many of these processes. Consequently, new products and brands are emerging in the market, often thanks to private label supplement manufacturing. A private label, in particular, accelerates product release into the market.

Analytics 85

Analytics Analytics Big Data Big Data 85

Towards AI

JANUARY 27, 2024

load_data()print(xTrain.shape) print(yTrain.shape)print(xTest.shape)print(yTest.shape)(50000, 32, 32, 3) #shape of train data(50000, 1) #shape of train labels(10000, 32, 32, 3) #shape of test data(10000, 1) #shape of test labels Some random train images and corresponding labels. imshow(xTrain[i], cmap=plt.cm.binary) axes[idx].set_title(yTrain[i])

Deep Learning 93

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FlowingData

MAY 11, 2022

For Swee Kombucha, Bedow used a stacked chart as a food label to show the ingredient breakdowns for various beverages. Tags: food , ingredient , labels. The greater the area is, the more ingredient by volume there is in the drink. This project takes me back.

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Towards AI

APRIL 5, 2023

Source: Image generated by the author using MidJourney Zero-shot learning is a machine learning method that allows using a pre-trained model to classify data according to a set of classes or labels that have not been used to train the model. classifying the data according to this set of labels). restaurant reviews, football news, etc.)

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Flipboard

JULY 31, 2023

An internet protocol called C2PA uses cryptography to label images, video, and audio I recently wrote a short story about a project backed by some …

AI 116

AI AI Computer Science Computer Science 116

Flipboard

JULY 28, 2023

An internet protocol called C2PA wants to add a “nutrition label” to images, video, and audio. The White House wants big AI companies to disclose when …

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AI AI Computer Science Computer Science 123

Pickl AI

AUGUST 7, 2023

However, the most complex and expensive type of Machine Learning trend in use is Labelled Data. Both labeled and unlabeled data are used in Machine Learning for different purposes. Read the blog below to learn more about how data labeling works and gain an understanding of the use cases. How does Data Labelling Work?

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