Altexsoft

AUGUST 3, 2021

This is a guest article by tech writer Melanie Johnson. No matter how big or small your machine learning (ML) project might be, the overall output depends on the quality of data used to train the ML models. That said, data annotation is key in training ML models if you want to achieve high-quality outputs.

3D 59

3D Technical Advisors Artificial Inteligence Technical Review 59

O'Reilly Media - Ideas

MARCH 13, 2019

Recently, IBM scraped a million photos from Flickr and turned them into a training data set for an AI project intending to reduce bias in facial recognition. People weren’t actually automating image tagging, which is creepy enough; they certainly weren’t building applications to scan attendees at concerts or sporting events.

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Internet Sport Machine Learning Artificial Inteligence 73

d2iq

MAY 19, 2022

In August 2011, Marc Andreessen wrote an article in The Wall Street Journal entitled “Why Software Is Eating the World.”Andreessen Andreessen predicted that the leading companies in any industry would be software companies. AI already surrounds us, often without the average user realizing it.On

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Cloud Artificial Inteligence Automotive Healthcare 52

Altexsoft

APRIL 24, 2019

We talked with experts from Perfect Price, Prisync, and a data science specialist from The Tesseract Academy to understand how various businesses can use machine learning for dynamic pricing to achieve their revenue goals. Approaches to dynamic pricing: Rule-based vs machine learning. Functionality of IBM Dynamic Pricing.

Machine Learning 73

Machine Learning Artificial Inteligence Software Review Retail 73

Altexsoft

JANUARY 27, 2022

As of today, different machine learning (and specifically deep learning) techniques capable of processing huge amounts of both historic and real-time data are used to forecast traffic flow, density, and speed. They are usually easier, faster, and cheaper to implement than machine learning ones.

Machine Learning 69

Machine Learning Artificial Inteligence Transportation Network 69

Altexsoft

FEBRUARY 21, 2023

Hotel price prediction is a critical aspect of the travel industry, and with the rise of machine learning , it has become more precise and accurate. We’ll also share what we learned from our experience building a price prediction module for Rakuten Travel. What is hotel price prediction? The complexity of the hospitality market.

Hotels 52

Hotels Machine Learning Artificial Inteligence Travel 52

Altexsoft

NOVEMBER 15, 2022

economic changes, events (sports competitions, concerts, conferences), exchange rates, political situations, and. To determine when occupancy will be higher and when lower and what prices should be considered for a given period, you can take advantage of machine learning powered by data. Internal factors include. Data sources.

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Hotels Machine Learning Artificial Inteligence KPI 52

Altexsoft

JANUARY 11, 2019

Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. So, it’s not the state-of-the-art that motivates businesses to use data science more but the standardized approach to machine learning model building. ”.

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Artificial Inteligence Artificial Intelligence Trends Data 94

O'Reilly Media - Ideas

JULY 20, 2021

In the first article of this series, we discussed communal computing devices and the problems they create–or, more precisely, the problems that arise because we don’t really understand what “communal” means. In this article, we’ll take a deeper look at these questions, to see how the problems manifest and how to understand them.

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Altexsoft

JUNE 9, 2023

In this article, we’ll uncover the mystery of this AI marvel by explaining its foundation in prompt engineering and showcasing its growing value in the travel sector. Large language models and transformers in a nutshell Language models , types of machine learning models, are trained to anticipate the likelihood of a word sequence.

ChatGPT 52

ChatGPT Travel Artificial Inteligence Hotels 52

Confluent

JULY 3, 2019

The idea in this blog post is to mix information coming from two distinct channels: the RSS feeds of sport-related newspapers and Twitter feeds of the FIFA Women’s World Cup. The second data source that we’ll use for our FIFA Women’s World Cup sentiment analytics are RSS feeds from sports-related newspapers. Transfermarkt.

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Analysis Data Sport Windows 21

Altexsoft

DECEMBER 11, 2019

In this article, you’ll learn what image recognition is and how it’s related to computer vision. You’ll also find out what neural networks are and how they learn to recognize what is depicted in images. Researchers can use deep learning models for solving computer vision tasks.

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Network Airlines Training Construction 20

Apiumhub

APRIL 8, 2021

He also writes compelling articles about Big Data and related topics for publications such as Data Science Central, DataFloq and Dataconomy. He is an advisory board member for the Big Data training category at Simplilearn and an online education provider. He regularly publishes articles on Big Data and Analytics on Forbes.

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Artificial Inteligence Technical Advisors Data Machine Learning 110

Altexsoft

DECEMBER 9, 2020

In this article, we will discuss how companies collect, manage, and get value out of their data, which technologies can be used in this process, and what problems can be solved with the help of analytics. At this point, organizations must either train existing engineers for data tasks or hire experienced ones.

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Analytics Technical Review Technology Applications 102

Capgemini

JULY 25, 2023

Organizations can perform joint data analysis and train machine-learning (ML) models while ensuring that confidential information will stay protected from their sharing partners. Yet, these sports fans are watching the game in the privacy of their homes, and the network they’re watching on must legally protect their data.

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