ProjectPro

JUNE 6, 2025

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc. to estimate the costs.

Business Intelligence 40

Business Intelligence Coding Project BI 40

ProjectPro

JUNE 6, 2025

Algorithms analyze data provided by healthcare professionals to anticipate the most likely diagnosis. This, in turn, can help save costs by avoiding unnecessary care or hospitalization. Explore innovative research methods to improve data analysis, such as machine learning algorithms or natural language processing approaches.

Healthcare 49

Healthcare Medical Electronics Hospitality 49

AltexSoft

NOVEMBER 15, 2022

Read on to find out what occupancy prediction is, why it’s so important for the hospitality industry, and what we learned from our experience building an occupancy rate prediction module for Key Data Dashboard — a US-based business intelligence company that provides performance data insights for small and medium-sized vacation rentals.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

Knowledge Hut

DECEMBER 29, 2023

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. Learning Outcomes: Acquire the skills necessary to assess models developed from data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JUNE 6, 2025

The most trusted way to learn and master the art of machine learning is to practice hands-on projects. Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems.

Portfolio 40

Portfolio Project Insurance Algorithm 40

ProjectPro

JUNE 6, 2025

AI can think independently: AI models follow predefined algorithms and lack true understanding. Finance: Fraud detection and algorithmic trading. TensorFlow & PyTorch: Deep learning frameworks. Deep Learning, Image Recognition, Speech Processing. What are some common misconceptions about AI?

Deep Learning 40

Deep Learning Machine Learning Algorithm Medical 40

ProjectPro

JUNE 6, 2025

Imagine a hospital collecting large volumes of patient information, like test results, treatments, and demographics. This involves analyzing patient outcomes, hospital operations, and resource utilization data. Machine Learning And Analytics- Expertise in machine learning algorithms and statistical methods is fundamental.

Healthcare 40

Healthcare Medical Hospitality Electronics 40

ProjectPro

JUNE 6, 2025

This process is almost indispensable even for more complex algorithms like Optical Character Recognition, around which companies like Microsoft have built and deployed entire products (i.e., Alternatively, you could attempt to implement other Grayscaling algorithms like the Lightness and the Average Method. Microsoft OCR).

Coding 40

Coding Python Process Project 40

ProjectPro

JUNE 6, 2025

Unlike other machine learning models, it cannot assign custom weights to different feature columns based on their relationship. Hospitality Industry The hospitality industry (hotels, resorts, tourist attractions, or towns that rely on tourism to drive their economy) has seasonal trends and unexpected short-term fluctuations yearly.

Hospitality 40

Hospitality Data Science Machine Learning Datasets 40

ProjectPro

NOVEMBER 8, 2021

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

Algorithm 52

Algorithm Medical Datasets Python 52

Knowledge Hut

JANUARY 18, 2024

Well-versed with Statistics and Machine learning Having adequate knowledge of statistics and machine learning is another essential skill that data scientists should possess. In addition, they should be able to deploy various machine learning algorithms to solve complex problems.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

ProjectPro

JUNE 6, 2025

Source Code: Check out some exciting text summarization LLM projects on GitHub, such as the ‘ News Article Text Summarizer ’ that involves extractive and abstractive text summarization of news articles using the T5 (Text-To-Text Transfer Transformer) model and text ranking algorithms.

Project 40

Project Medical Hospitality Healthcare 40

ProjectPro

JUNE 6, 2025

At the core of such applications lies the science of machine learning, image processing, computer vision , and deep learning. This application is increasingly and readily being deployed for tracking attendance and identity verification in places like airports, corporates, schools, hospitals, etc.

Python 40

Python Process Deep Learning Algorithm 40

AltexSoft

JUNE 16, 2022

So, how would you measure the success of a machine learning model? Various machine learning models — whether these are simpler algorithms like decision trees or state-of-the-art neural networks — need a certain metric or multiple metrics to evaluate their performance. The output is continuous. MAE, MSE, and.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

AltexSoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

Striim

JULY 18, 2024

Another benefit of leveraging real-time patient monitoring is that it reduces hospital readmissions and improves overall patient management. An inference model is a form of machine learning model that leverages algorithms to analyze data. For more context, check out our AI and machine learning solutions page.

Healthcare 52

Healthcare Medical Hospitality Algorithm 52

Knowledge Hut

AUGUST 1, 2023

Machine learning is a way in which artificial intelligence is used to train algorithms or computers. Machine learning algorithms can analyze potentially tera bytes of data, identify patterns from these data, and make predictions or decisions. But how is machine learning used in healthcare?

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52

ProjectPro

FEBRUARY 16, 2023

At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. This application is increasingly and readily being deployed for tracking attendance and identity verification in places like airports, corporates, schools, hospitals, etc. What is OpenCV Python?

Python 98

Python Process Deep Learning Algorithm 98

AltexSoft

OCTOBER 18, 2022

This provides many opportunities to train computer vision algorithms for healthcare needs. For example, a recent study aims at assessing the accuracy of deep learning algorithms in the diagnosis of Human Papillomavirus (HPV) in CT images of advanced oropharyngeal cancer (OPC). Clinic and hospital datasets.

Medical 52

Medical Datasets Machine Learning Hospitality 52

RandomTrees

DECEMBER 20, 2023

To replicate human cognition, AI uses a system named deep neural network. Federated deep learning is also a promising technology that could improve edge AI’s privacy and security. As they get trained, these DNNs result in many examples of specific types of questions and the correct answers.

IT 52

IT Hospitality Healthcare Deep Learning 52

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. ML algorithms forecast over 50 percent of air conditioning failures a month before they actually happen.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

AltexSoft

OCTOBER 25, 2021

billion (Microsoft’s biggest purchase since LinkedIn), provides niche AI products for clinical voice transcription, used in 77 percent of US hospitals. Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology.

Medical 52

Medical Healthcare Process Hospitality 52

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. We’ll also share what we learned from our experience building a price prediction module for Rakuten Travel. Check out our video on how revenue management works in hospitality. The complexity of the hospitality market.

Hospitality 52

Hospitality Algorithm Machine Learning Datasets 52

Knowledge Hut

JUNE 13, 2024

With the help of data science tools and machine learning algorithms, doctors can detect and track common conditions, like cardiac or respiratory diseases. Some of the commonly used machine learning algorithms include: Image processing algorithm: For image analysis, enhancement and denoising. Join us today!

Healthcare 52

Healthcare Data Science Pharmaceutical Medical 52

ProjectPro

JUNE 1, 2017

MapR unveiled Quick Start Solution (QSS) its novel solution focusing on deep learning applications. QSS is a deep learning product and service offering by the popular hadoop vendor that will enable the training of compute intensive deep learning algorithms. Source : [link] ) PREVIOUS NEXT <

Hadoop 52

Hadoop Pipeline-centric Medical Database-centric 52

AltexSoft

AUGUST 27, 2022

So, it comes as no surprise that all large biopharma companies are investing in AI, particularly in deep learning , which has the potential to make the hunt for drugs cheaper, faster, and more precise. It’s worth noting that regulatory bodies treat the use of machine learning in healthcare with caution. Source: Deloitte.

Medical 52

Medical Deep Learning Algorithm Machine Learning 52

Scott Logic

SEPTEMBER 13, 2024

However, with improvements in computing power, access to large amounts of data and more complex algorithms, ML has grown into a powerful tool capable of handling sophisticated tasks like natural language processing and image recognition. Initially, ML models were fairly simple, handling tasks like basic predictions or classifications.

Hospitality 52

Hospitality Medical Datasets Machine Learning 52

ProjectPro

DECEMBER 10, 2021

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

AUGUST 28, 2021

The most trusted way to learn and master the art of machine learning is to practice hands-on projects. Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems.

Portfolio 52

Portfolio Project Insurance Algorithm 52

U-Next

SEPTEMBER 22, 2022

Several vetted models and algorithms are used in the predictive analytics tools in order to generate a large number of useful outcomes that are applicable to a wide range of use cases. . Understanding The Types Of Predictive Modeling Algorithms . Listed below are some of the different types of predictive modeling algorithms: .

Hospitality 40

Hospitality Algorithm Banking Machine Learning 40

AltexSoft

SEPTEMBER 19, 2023

Internal systems — like a property management system (PMS) in hospitality, a passenger service system (PSS) used by airlines, or an OTA back office — are the backbone and the most relevant source of transaction details, booking histories, and inventory data for a travel business. geolocation, profiles, and feedback.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

ProjectPro

JUNE 6, 2025

Use machine learning algorithms to predict winning probabilities or player success in upcoming matches. They rely on Data Scientists who use machine learning and deep learning algorithms on their datasets to improve such decisions, and data scientists have to count on Big Data Tools when the dataset is huge.

Data Engineer 52

Data Engineer Data Engineering Project Engineering 52

ProjectPro

JUNE 6, 2025

By using complex algorithms, a user can glean exciting insights from various subsets of a data set. MLLib, another Spark feature, facilitates data analysis and machine learning and supports various machine learning algorithms such as clustering, regression, etc.

Data Analysis Tools 40

Data Analysis Tools Data Analysis BI R (Programming) 40

Tweag

APRIL 19, 2023

Machine Learning (ML). Deep Learning. Detecting cancerous cells in microscopic photography of cells (Whole Slide Images, aka WSIs) is usually done with segmentation algorithms, which NNs are very good at. A single hospital makes many captures a day, producing terabytes of such data to store and process.

Medical 61

Medical Process Cloud Bytes 61

AltexSoft

MAY 30, 2022

But unlike rule-based systems, these chatbots can improve over time through data and machine learning algorithms. get better from human feedback — when a user provides additional information and corrects a bot’s mistakes, you can use those corrections to automate learning for the model to improve. Conversational AI in banking.

Banking 52

Banking Machine Learning Insurance Deep Learning 52

DareData

JULY 29, 2020

We have heard news of machine learning systems outperforming seasoned physicians on diagnosis accuracy, chatbots that present recommendations depending on your symptoms , or algorithms that can identify body parts from transversal image slices , just to name a few. can my application gain the trust of its users?

Data Pipeline 52

Data Pipeline Healthcare Pipeline-centric Medical 52

ProjectPro

AUGUST 2, 2021

This process is almost indispensable even for more complex algorithms like Optical Character Recognition, around which companies like Microsoft have built and deployed entire products (i.e., Alternatively, you could attempt to implement other Grayscaling algorithms like the Lightness and the Average Method. Microsoft OCR).

Coding 40

Coding Python Process Project 40