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. Cloud-Based Solutions: Large datasets may be effectively stored and analysed using cloud platforms.

Retail 52

Retail Hospitality Data Governance Banking 52

ProjectPro

JUNE 6, 2025

This groundbreaking technique augments existing datasets and ensures the protection of sensitive information, making it a vital tool in industries ranging from healthcare and finance to autonomous vehicles and beyond. Synthetic data generation allows for the creation of large, diverse datasets that can fill these gaps.

Healthcare 40

Healthcare Medical Datasets Machine Learning 40

ProjectPro

JUNE 6, 2025

AI can think independently: AI models follow predefined algorithms and lack true understanding. Finance: Fraud detection and algorithmic trading. Requires large datasets and high computational power. What is the concept of Local Optima, and how does it affect local search algorithms? detecting tumors in MRI scans).

Deep Learning 71

Deep Learning Machine Learning Algorithm Medical 71

ProjectPro

JUNE 6, 2025

Using the UCI Heart Disease dataset, which has 14 columns and more than 300 samples, you can try out how well various prediction models work. You will observe that K-nearest neighbors perform the best on the UCI dataset after experimenting with five machine learning models to predict heart disease.

Healthcare 40

Healthcare Portfolio Project Hospitality 40

AltexSoft

OCTOBER 18, 2022

In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve. At the same time, de-identification only encrypts personal details and hides them in separate datasets. Medical datasets comparison chart .

Medical 52

Medical Datasets Machine Learning Hospitality 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

Project Idea: Start data engineering pipeline by sourcing publicly available or simulated Uber trip datasets, for example, the TLC Trip record dataset.Use Python and PySpark for data ingestion, cleaning, and transformation. Project Idea : Leverage Spotify's public datasets or simulated user activity data to identify listening patterns.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

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

Speed Generally, a moving averages model is fast and inexpensive and captures the linear and non-linear trends in a time series dataset. 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

JUNE 6, 2025

Additionally, datasets like ImageNet, ESC-50, and text sources can help you train and test the app's functionalities across different modalities. The model analyzes input, references a dataset, and generates suggestions. Then, fine-tune the LLM, such as BERT, on a dataset containing labeled resumes for various job categories.

Project 49

Project Medical Hospitality Healthcare 49

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

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 Algorithm 40

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

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

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

Extract significant insights hiding within large datasets to impact business decisions. When processing massive datasets, a data analyst must put extra effort into identifying the causes of the additional memory requirements and improving memory management. There is no option to return and retrieve the lost file.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

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. Data relevance.

Hospitality 52

Hospitality Algorithm Machine Learning Datasets 52

Knowledge Hut

DECEMBER 29, 2023

Specific Skills and Knowledge: Some skills that may be useful in this field include: Statistics, both theoretical and applied Analysis and model construction using massive datasets and databases Computing statistics Statistics-based learning C. In contrast to unsupervised learning, supervised learning makes use of labeled datasets.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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. For example, the model might successfully identify 95% of spam emails in this dataset.

Hospitality 52

Hospitality Medical Datasets Machine Learning 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 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. From there, it can make predictions or decisions based on that information.

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

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. One can use their dataset to understand how they work out the whole process of the supply chain of various products and their approach towards inventory management.

Business Intelligence 52

Business Intelligence Coding Project BI 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

Tweag

APRIL 19, 2023

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. Then this dataset can be plugged to our PyTorch script using.to_torch.

Medical 61

Medical Process Cloud Bytes 61

Knowledge Hut

OCTOBER 26, 2023

Machine learning is a branch of AI; it's all about creating an algorithm, analyzing data, learning from data, process ing data, and identifying and applying patterns to data with minimal intervention by human s. It includes the UCI machine learning repository and dataset.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

AUGUST 28, 2021

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 52

Portfolio Project Insurance Algorithm 52

AltexSoft

DECEMBER 15, 2021

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. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Knowledge Hut

MAY 2, 2024

It achieves this using abstraction layer called RDD (Resilient Distributed Datasets) in combination with DAG, which is built to handle failures of tasks or even node failures. Apache Spark has a framework for both i.e. Spark Streaming to handle Streaming using micro batches and DStreams and Structured Streaming using Datasets and Data frames.

Scala 52

Scala Hospitality Healthcare Retail 52

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

AltexSoft

MARCH 28, 2022

Publicly available datasets. Download free, anonymized datasets from Inside Airbnb , a non-commercial platform that presents snapshots of Airbnb listings with reviews, calendar and over 50 data points (pieces of information describing the listing.). Airbnb instantly purchasable datasets. Special terms.

Hospitality 52

Hospitality Business Intelligence Machine Learning Datasets 52

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

ProjectPro

FEBRUARY 16, 2023

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 98

Python Process Deep Learning Algorithm 98