Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. Hospital Management System Type : Application development, Database management, Programming There is no shortage of computer science project topics out there. Investigating the security risks associated with hospital data.

Computer Science 111

Computer Science Coding Project Hospitality 111

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.

Medical 52

Medical Hospitality Datasets Machine Learning 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. Data relevance.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

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

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 Machine Learning 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

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

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

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

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

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

Knowledge Hut

DECEMBER 21, 2023

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing Cloud computing research topics are getting wider traction in the Cloud Computing field. The NN-MOEA algorithm utilizes neural networks to optimize multiple objectives, such as planning, cost, and resource utilization.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 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

phData: Data Engineering

SEPTEMBER 4, 2024

SpotIQ and AI-Driven Insights SpotIQ is a ThoughtSpot feature that leverages generative AI and machine learning (ML) to uncover anomalies across large datasets, identify patterns, isolate trends, segment data, analyze root causes, and forecast data for future scenarios.

BI 52

BI Hospitality Healthcare Pharmaceutical 52

Knowledge Hut

MARCH 29, 2024

From massive datasets to complex tasks, quickly accessing and organizing information is key. Enter the Binary Heap, a powerful data structure used for everything from algorithms to priority queues. Consider a hospital emergency room with a long line of patients. Efficiency is paramount in computer science.

Algorithm 52

Algorithm Utilities Hospitality Software Engineer 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 60

Medical Process Cloud Bytes 60

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

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 Datasets Algorithm 52

AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. The most advanced AI algorithms achieved the accuracy of almost 97 percent. What is to be done to acquire a sufficient dataset?

Medical 72

Medical Healthcare Datasets Machine Learning 72

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

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. The particular amount largely depends on your goals and the complexity of the algorithm employed.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Edureka

AUGUST 2, 2023

Data Mining Analyst: To find patterns, correlations, and linkages within huge datasets, data mining analysts employ cutting-edge algorithms and methodologies. They may conduct hypothesis testing, regression analysis, or data clustering to gain insights into patterns and trends.

Data Process 52

Data Process Process Data Cleanse Data Mining 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

AltexSoft

SEPTEMBER 13, 2023

It points out the critical role that data quality plays in the outcomes you get from these algorithms. Say you’re a CTO or software engineer in the hospitality industry, and you’re integrating a generative AI chatbot to answer staff queries about your hotel’s Property Management System (PMS). Understanding of NLP.

Engineering 59

Engineering Hospitality Transportation Algorithm 59

Rockset

JUNE 3, 2022

We are also helping travel and hospitality companies such as Vail Resorts drive bookings and promote specials. Our campaign decision engine already relies on ML-trained algorithms, but they were built using a limited dataset due to the high cost of integrating disparate datasets.

Hospitality 52

Hospitality Aggregated Data Datasets Retail 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

AltexSoft

AUGUST 27, 2022

That’s why, for now, smart algorithms see fewer restrictions and wider adoption in the drug discovery phase that happens prior to tests on people. When applied to drug discovery, smart algorithms have already proved their ability. Among deep learning algorithms employed for de novo design are. Real-life example.

Medical 52

Medical Deep Learning Algorithm Machine Learning 52

ProjectPro

FEBRUARY 22, 2022

Dataset: As an example, you can use this Walmart Dataset on Kaggle. The dataset contains Walmart store sales (Year, Month, Product Category, and Sales) for 2009-2014. SQL Project Idea: You can use the dataset to create an online retail application database in SQL. Dataset: Imagine you run a chain of bookstores.

Data Analysis 52

Data Analysis SQL Project Banking 52

AltexSoft

JUNE 9, 2023

Primarily trained on extensive text datasets, they leverage learned patterns to anticipate the next word in a sentence and create contextually appropriate and grammatically sound text. Initially, they undergo unsupervised pretraining using a substantial unlabeled dataset to learn general patterns and relationships.

Project 52

Project Java Hospitality Transportation 52

ProjectPro

DECEMBER 14, 2021

Regardless of the data source, query editors are helpful for editing datasets. In the query editor, you can perform changes like renaming a dataset and removing one or more columns, among other things. In Power BI, removing columns from the dataset or modifying the data types in the columns is relatively easy.

BI 52

BI Project Business Intelligence Datasets 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

Knowledge Hut

DECEMBER 27, 2023

A business analyst can be employed in a wide range of industries, including healthcare, education, finance, retail, and hospitality. It would help if you had experience working with large datasets using tools such as R or Python programming languages.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

ProjectPro

AUGUST 24, 2021

Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc. They are also often expected to prepare their dataset by web scraping with the help of various APIs. The Yelp dataset, which is used for academic and research purposes, is processed here.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

AltexSoft

SEPTEMBER 21, 2023

Whether you’re an enterprise striving to manage large datasets or a small business looking to make sense of your data, knowing the strengths and weaknesses of Elasticsearch can be invaluable. For instance, you could have different indices for Hotels, Guests, and Bookings in the hospitality industry. Business workflow automation.

Engineering 52

Engineering NoSQL Programming Language Java 52

Knowledge Hut

JANUARY 11, 2024

In this discussion, I will present some case studies to you that contain detailed and systematic data analysis of people, objects, or entities focusing on multiple factors present in the dataset. Examples of Data Science Case Studies Hospitality: Airbnb focuses on growth by analyzing customer voice using data science.

Data Science 98

Data Science Transportation Banking Hospitality 98

ProjectPro

MARCH 15, 2016

HDFS distributes a dataset to different servers but Hadoop MapReduce is the connecting framework responsible to distribute the work and aggregate the results obtained through data processing. The data included is a combination of structured information, matching stats, which is used for scoring and recommendation algorithms.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

OCTOBER 25, 2021

No doubt, machine learning algorithms do better at disease diagnosis, but it is still far from replacing doctors. Researchers at Purdue University in Indianapolis have developed a machine-learning algorithm that predicts the relapse rate for myelogenous leukemia with 90% accuracy. Such tools can also reduce the need for biopsies.

Healthcare 52

Healthcare Machine Learning Project Medical 52