AltexSoft

OCTOBER 18, 2022

No wonder publicly available health datasets are relatively rare and attract much attention from researchers, data scientists, and companies working on medical AI solutions. Below, we’ll explore data collections the Internet has to offer and the practical tasks they help solve. Clinic and hospital datasets. Source: MURA.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. Learning Outcomes: Acquire the skills necessary to assess models developed from data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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 Datasets Machine Learning 52

AltexSoft

SEPTEMBER 19, 2023

Company’s booking website and mobile app allow you to track and collect a wealth of data, from web traffic information to user behavioral metrics (session duration, navigation paths, etc.), For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years.

Hospitality 52

Hospitality Machine Learning Data Governance BI 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. . An evaluation of a sequence of data points over a period of time is carried out using this model. Types Of Predictive Models . Random Forest .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

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

Edureka

AUGUST 2, 2023

What does a Data Processing Analysts do ? A data processing analyst’s job description includes a variety of duties that are essential to efficient data management. They must be well-versed in both the data sources and the data extraction procedures.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Snowflake

APRIL 20, 2023

The company’s data is highly accurate, which makes deriving insights easy and decision-making truly fact based. Data access is daily and seamless, another significant benefit in the industry’s competitive landscape. Ambee’s environmental data combines data from on-ground sensors, satellites, and multiple open sources.

Medical 59

Medical Retail Python Pharmaceutical 59

Knowledge Hut

FEBRUARY 11, 2023

Skills required- Basic HTML and CSS Good understanding of search engine algorithms Fair knowledge of SEO tools Content writing Analytical mindset Troubleshooting Excellence in Google site mapping Career Growth opportunities- SEO has remained a methodology to rank a website higher in search engine rankings and bring organic traffic.

Media 52

Media Food Recruitment Hospitality 52

AltexSoft

SEPTEMBER 21, 2023

Logstash is a server-side data processing pipeline that ingests data from multiple sources, transforms it, and then sends it to Elasticsearch for indexing. Fluentd is a data collector and a lighter-weight alternative to Logstash. It is designed to unify data collection and consumption for better use and understanding.

Engineering 52

Engineering NoSQL Programming Language Java 52

Knowledge Hut

DECEMBER 26, 2023

Data Analytics is a process where data is inspected, transformed and interpreted to discover some useful bits of information from all the noise and make decisions accordingly. It forms the entire basis of the social media industry and finds a lot of use in IT, finance, hospitality and even social sciences. Why data analytics?

Certification 52

Certification Data Analytics BI AWS 52

Knowledge Hut

DECEMBER 27, 2023

An MBA in Hospitality and Tourism is one wise choice to go for. A career in Data Science Data Science is a study interrelated and disciplinary field that employs maths, science algorithms, advanced analytics, and Artificial Intelligence(AI). It will help you land a job role in the following categories.

Banking 52

Banking Recruitment Finance Portfolio 52

ProjectPro

AUGUST 24, 2021

Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation. Source Code: Analyse Movie Ratings Data Unlock the ProjectPro Learning Experience for FREE 11) Retail Analytics Project Example For retail stores , inventory levels, supply chain movement, customer demand, sales, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JULY 10, 2021

Various hospitals and healthcare systems are now using AI and ML apps in cardiology and others. An ECG anomaly detection system can be built based on time series analysis using Brute Force or Heuristics discord discovery algorithms to identify anomalies in the ECG. Facebook's core data science team has come up with this ML algorithm.

Project 40

Project Banking Python Datasets 40

Knowledge Hut

JANUARY 11, 2024

Let’s look at the top eight data science case studies in this article so you can understand how businesses from many sectors have benefitted from data science to boost productivity, revenues, and more. 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

Striim

JANUARY 8, 2025

” It hones in on the granular, day-to-day decisions that collectively drive efficiency and effectiveness in real-time environments. For example, consider a hospital seeking to streamline operations. Instead, these teams can leverage business analysts who bring a combination of business understanding and familiarity with data.

BI 52

BI Business Analyst Retail Raw Data 52