AltexSoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. Medical data labeling.

Medical 52

Medical Datasets Machine Learning Hospitality 52

ProjectPro

JANUARY 27, 2023

ETL for IoT - Use ETL to analyze large volumes of data IoT devices generate. Real-World ETL Use Cases and Applications Across Industries This blog discusses the numerous ETL use cases in various industries, including finance, healthcare, and retail.

BI 52

BI ETL Tools Retail Healthcare 52

Knowledge Hut

JULY 28, 2023

Data Types and Dimensionality ML algorithms work well with structured and tabular data, where the number of features is relatively small. DL models excel at handling unstructured data such as images, audio, and text, where the data has a large number of features or high dimensionality.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

AltexSoft

MAY 27, 2022

Healthcare facilities and insurance companies would give a lot to know the answer for each new admission. This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. How many days will a particular person spend in a hospital? Factors impacting LOS.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Knowledge Hut

MAY 9, 2024

Data Science, with its interdisciplinary approach, combines statistics, computer science, and domain knowledge and has opened up a world of exciting and lucrative career opportunities for professionals with the right skills and expertise. The market is flooding with the highest paying data science jobs.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

AltexSoft

MAY 12, 2022

In this article, we’ll share what we’ve learnt when creating an AI-based sound recognition solutions for healthcare projects. Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. Audio data file formats. Speech recognition.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

Knowledge Hut

JANUARY 30, 2024

Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. Unstructured Data: Unstructured data, like free-form text, can be challenging to work with but holds valuable insights.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

JANUARY 24, 2024

In their quest for knowledge, data scientists meticulously identify pertinent questions that require answers and source the relevant data for analysis. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively. What is data science in daily life?

Database-centric 52

Database-centric Data Science Machine Learning Algorithm 52

AltexSoft

APRIL 27, 2023

Currently, US healthcare providers can take advantage of a web-based educational tool that employs data from the Pfizer model to estimate the probability of a patient with heart disease having wtATTR-CM. The event harmonizer automates data collection and processing.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Knowledge Hut

NOVEMBER 20, 2023

Industry Applications AI systems are more prominent in the healthcare, finance, autonomous vehicles, and customer service industries. This is done in the following sequence: Data collection, Data processing, Feature extraction, Model selection, Training. and recognize patterns. The list doesn’t end here.

Manufacturing 52

Manufacturing Pharmaceutical Healthcare Finance 52

AltexSoft

FEBRUARY 11, 2023

Besides, it’s up to this specialist to guarantee compliance with laws, regulations, and standards related to data. Let’s take an example of healthcare data which contains sensitive details called protected health information (PHI) and falls under the HIPAA regulations.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

MARCH 27, 2024

Although it's open source, it only supports 10000 data rows and one logical processor. ML models can be deployed to the web or mobile (only when the user interface is ready for real-time data collection) with the assistance of Rapid Miner. The first is the type of data you have, which will determine the tool you need.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

NOVEMBER 28, 2023

Not only will it help with your data science knowledge, but it will also improve your resume. Who is a Data Scientist? Data scientists are experts who find, collect and evaluate big data collections. Computer science, mathematics, and statistics training are often required for data science positions.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

U-Next

AUGUST 11, 2022

Deep Learning is an AI Function that involves imitating the human brain in processing data and creating patterns for decision-making. It’s a subset of ML which is capable of learning from unstructured data. Why Should You Pursue A Career In Artificial Intelligence? There are excellent career opportunities in AI.

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Knowledge Hut

JUNE 23, 2023

Many industries and businesses utilize real-time data analytics to get insights and make decisions based on data collected in real time. Here are some examples: Social media networks utilize real-time data analytics to examine user behavior, identify unwanted material, and improve user experience.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

AltexSoft

MAY 14, 2021

The process of identifying the sources and then getting Big Data varies from company to company. It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing. Below are real-life examples of companies using Big Data.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

MAY 8, 2015

2015 will witness various phases of big data changing lives to make world a better place by helping businesses make big decisions and solve real world problems. These systems can be related to human brains as they link bits of data to find real answers and not merely search results.

Big Data 40

Big Data Retail Banking Unstructured Data 40

ProjectPro

APRIL 17, 2015

Last year when Twitter and IBM announced their partnership it seemed an unlikely pairing, but the recent big data news on New York Times about this partnership took a leap forward with IBM’s Watson all set to mine Tweets for sentiments.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

JUNE 18, 2015

Big data solutions that once took several hours for computations now can now be done just in few seconds with various predictive analytics tools that analyse tons of data points. Organizations need to collect thousands of data points to meet large scale decision challenges.

Big Data 52

Big Data Process Data Cleanse Data Analytics 52

ProjectPro

AUGUST 16, 2021

A typical machine learning project involves data collection, data cleaning, data transformation, feature extraction, model evaluation approaches to find the best model fitting and hyper tuning parameters for efficiency. Topic Modelling Topic modelling is the inference of main keywords or topics from a large set of data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

U-Next

SEPTEMBER 23, 2022

Previously, organizations dealt with static, centrally stored data collected from numerous sources, but with the advent of the web and cloud services, cloud computing is fast supplanting the traditional in-house system as a dependable, scalable, and cost-effective IT solution. Big Data in Healthcare Industry .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

Knowledge Hut

DECEMBER 26, 2023

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

ProjectPro

SEPTEMBER 26, 2021

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. IT, Retail, Sales & Marketing, Healthcare, Manufacturing, Education, etc.,

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

ProjectPro

MAY 31, 2021

Big Data Projects for Engineering Students Hadoop Project-Analysis of Yelp Dataset using Hadoop Hive Online Hadoop Projects -Solving small file problem in Hadoop Airline Dataset Analysis using Hadoop, Hive, Pig, and Impala AWS Project-Website Monitoring using AWS Lambda and Aurora Explore features of Spark SQL in practice on Spark 2.0

Big Data 52

Big Data Coding Project Hadoop 52

Knowledge Hut

APRIL 23, 2024

NLP also allows businesses to generate insights from unstructured data sources like customer feedback and social media. Data Discovery and Visualization Data discovery and visualization are also emerging trends in BI. Data discovery refers to exploring data to identify patterns, trends, and outliers.

Business Intelligence 52

Business Intelligence BI Data Analysis Media 52

Knowledge Hut

FEBRUARY 28, 2024

In this blog, we will explore the future of big data in business, its applications, and the technologies that will drive its evolution. What is Big Data? Big data refers to large amounts of data. The differentiation between data and big data becomes clear once we look at the methods of analyzing them.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

Knowledge Hut

DECEMBER 26, 2023

Find out more about big data trends and how they affect the business world (risk, marketing, healthcare, financial services, etc.). explains this new technology and how businesses can utilize it to collect the data they need and gain important insights efficiently.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

ProjectPro

MARCH 14, 2014

A study at McKinsley Global Institute predicted that by 2020, the annual GDP in manufacturing and retail industries will increase to $325 billion with the use of big data analytics. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! How big data helps businesses?

Hadoop 40

Hadoop Big Data Data Mining Retail 40