RandomTrees

MARCH 10, 2025

Revenue Growth: Marketing teams use predictive algorithms to find high-value leads, optimize campaigns, and boost ROI. AI and Machine Learning: Use AI-powered algorithms to improve accuracy and scalability. JPMorgan Chase employs complex algorithms to optimize investment strategies and reduce risk.

Retail 52

Retail Hospitality Data Governance Banking 52

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

AltexSoft

JUNE 21, 2023

Navigating the increasingly competitive hospitality sector landscape demands a thorough grasp of the vital performance indicators that display profitability. ADR , in the hospitality industry, stands for the average daily rate. Discover how revenue management functions in hospitality in our video. What is ADR?

Hospitality 52

Hospitality Management Machine Learning Datasets 52

ProjectPro

JUNE 6, 2025

As a step ahead, you can also implement a clustering machine learning algorithm like K-means to classify the flowers. Exploring Haberman’s Survival Dataset Haberman’s Survival Dataset consists of data from the research conducted at the University of Chicago's Billings Hospital between 1958 and 1970.

Data Analysis 40

Data Analysis Python Project Hospitality 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 Electronics Medical Hospitality 49

ProjectPro

JUNE 6, 2025

AI can think independently: AI models follow predefined algorithms and lack true understanding. Finance: Fraud detection and algorithmic trading. What is the concept of Local Optima, and how does it affect local search algorithms? What is Alpha-Beta Pruning, and how does it improve adversarial search algorithms?

Deep Learning 71

Deep Learning Machine Learning Algorithm Medical 71

Cloudera

AUGUST 18, 2021

To prevent that, companies must implement a strategy to make sense of data by first training AI algorithms and then continually refining them as new, relevant information becomes available. That way, the data can continue generating actionable insights. . Avoiding Complexity.

Hospitality 88

Hospitality Medical Data Lake Healthcare 88

ProjectPro

JUNE 6, 2025

Collect tweets between January and April 2021 and perform data cleaning using the bag-of-words algorithm to separate individual tweets from corporate and automated tweets. Use the Mission Hospital package pricing dataset , which is available on GitHub. Use unsupervised LDA to decipher the cryptic abstract topics in the tweets.

Healthcare 40

Healthcare Portfolio Project Hospitality 40

Snowflake

JULY 11, 2023

Over 500 healthcare AI algorithms have been approved by the U.S. hospitals that have implemented AI has tripled since 2020, says MIT xPRO. To design better screening guidelines, sharpen those algorithms, make them better and more effective. We have to get insurers on board and hospitals signing off and more.

Healthcare 71

Healthcare Hospitality Medical Pharmaceutical 71

ProjectPro

JUNE 6, 2025

He discusses how a major hospital network integrated RAG into its clinical decision support system. RAG systems can provide efficient results by integrating retrieval methods such as Approximate Nearest Neighbor (ANN) algorithms with complex ranking models. Tools like IBM Watson Health exemplify this application.

Medical 40

Medical Electronics Healthcare Metadata 40

ProjectPro

JUNE 6, 2025

Still not many hadoop users consider hadoop as a platform for the execution of machine learning algorithms. Spark’s big computing big data capabilities have enhanced the platforms featuring graph algorithms, artificial intelligence and machine learning.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

JUNE 6, 2025

This application is increasingly and readily being deployed for tracking attendance and identity verification in places like airports, corporates, schools, hospitals, etc. The algorithm then tracks along these regions and suppresses each non-maximal pixel value (non-maximal suppression). Below are a few of those limitations: 1.

Python 73

Python Process Deep Learning Algorithm 73

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

ProjectPro

JUNE 6, 2025

How would you design an Agentic AI system to assist doctors in a hospital setting? To support doctors in a hospital, I would design a multi-agent AI system that divides complex healthcare tasks into specialized, collaborative roles: Core Agents Diagnosis Agent — Suggests possible conditions by analyzing patient symptoms and vitals.

Medical 64

Medical Healthcare Deep Learning Hospitality 64

ProjectPro

JUNE 6, 2025

We'll explore various data engineering projects, from building data pipelines and ETL processes to creating data warehouses and implementing machine learning algorithms. This is done by setting thresholds for certain variables or by using machine learning algorithms to detect anomalous data points.

Coding 40

Coding Manufacturing Data Cleanse Data Warehouse 40

The Modern Data Company

APRIL 12, 2023

Additionally, a lack of technical expertise may leave smaller hospitals and healthcare centers struggling to implement the types of analytics patients expect. If the hospital or healthcare center relies on public funds, budget constraints may further limit the money available for modernizing technology.

Healthcare 98

Healthcare Hospitality Medical Electronics 98

ProjectPro

JUNE 6, 2025

Unlike data collected from actual events or observations, synthetic data is generated algorithmically, often through advanced models and simulations. Example A hospital wants to build a machine learning model to predict patient outcomes but faces privacy concerns using real patient data.

Healthcare 40

Healthcare Medical Datasets Finance 40

ProjectPro

JUNE 6, 2025

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. You don't have to remember all the machine learning algorithms by heart because of amazing libraries in Python.

Hospitality 40

Hospitality Data Science Machine Learning Datasets 40

Knowledge Hut

DECEMBER 21, 2023

This can be done by analyzing customer data, such as purchase history and browsing behavior, and using machine learning algorithms to generate personalized recommendations. Hospitality IoT IoT technology can help hotels and other hospitality businesses improve the guest experience, increase efficiency, and reduce costs.

Transportation 98

Transportation Coding Medical Hospitality 98

Cloudera

DECEMBER 3, 2021

For example, consider the case of an AI system used to prioritise patients admitted to hospital. This includes guidance on algorithms, testing, quality control and reusable artefacts. The cause and effect of systems needs to be modelled to ensure there are no adverse effects in adjacent systems.

Government 102

Government Hospitality Education Data Governance 102

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

AltexSoft

JUNE 16, 2022

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. Then you choose an algorithm and do the model training on historic data and make your first predictions. The output is continuous.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

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 49

Coding Python Process Project 49

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 49

Project Medical Hospitality Healthcare 49

Knowledge Hut

JANUARY 18, 2024

In addition, they should be able to deploy various machine learning algorithms to solve complex problems. Broader Knowledge of Computer Science Full stack data science professionals should have a broader knowledge of data structures, algorithms, and discrete mathematics as they are key aspects of data science.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

ProjectPro

JUNE 6, 2025

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. In this ML project, you will learn to implement the random forest regressor and Xgboost algorithms to train the model.

Portfolio 40

Portfolio Project Insurance Banking 40

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. Today, when over 1.7

Medical 52

Medical Datasets Machine Learning Hospitality 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. Predictive Analytics can assist in early detection and intervention.

Machine Learning 52

Machine Learning Medical Hospitality Healthcare 52

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Hotel price prediction is the process of using machine learning algorithms to forecast the rates of hotel rooms based on various factors such as date, location, room type, demand, and historical prices.

Hospitality 52

Hospitality Algorithm Machine Learning Datasets 52

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. Deep Learning is a subset of machine learning that focuses on building complex algorithms named deep neural networks.

Machine Learning 59

Machine Learning Hospitality Deep Learning Algorithm 59

Knowledge Hut

DECEMBER 29, 2023

Apply the algorithms to a real-world situation, optimize the models learned, and report on the predicted accuracy that can be reached using the models. Specific Skills and Knowledge: Computer Science Fundamentals and Programming Machine Learning Algorithms Data Modeling and Evaluation Applied Mathematics Pattern recognition C.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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. From there, it can make predictions or decisions based on that information.

Healthcare 52

Healthcare Medical Hospitality Deep Learning 52

FreshBI

NOVEMBER 21, 2023

Revolutionizing Healthcare with Business Intelligence Dashboards for Hospitals The healthcare sector, more than any other, understands the value of timely and accurate data. Whether it's for patient care, administrative efficiency, or research purposes, hospitals rely heavily on data.

Business Intelligence 52

Business Intelligence Hospitality BI Consulting 52

RandomTrees

DECEMBER 20, 2023

Most of today’s edge AI algorithms perform local inference directly on data that the device sees directly. Using data from a collection of sensors adjacent to the device, more sophisticated inference tools can get developed in the future. Improved edge AI arrangement could also be a significant change.

IT 52

IT Hospitality Healthcare Deep Learning 52

ProjectPro

JUNE 1, 2015

Reduce the hospital/doctor visits, thereby lowering the cost of healthcare. An average sized hospital will generate some petabytes of healthcaredata every day. For example, fragmented point solutions, operational reports for hospitals, etc. These apps help the doctors and the patients: 1. Measure progress of the patient.

Healthcare 52

Healthcare Big Data Database-centric Hospitality 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

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 Machine Learning Datasets 52