Knowledge Hut

DECEMBER 29, 2023

There are several interrelated professions in the data mining industry, including business analyst and statistician. Learning Outcomes: This data concentration will provide you a solid grounding in mathematics and statistics as well as extensive experience with computing and data analysis.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

NOVEMBER 16, 2023

What distinguishes Generative AI is its capacity to learn from current data and then generate entirely new and realistic outputs that reflect the essence of what it has learned. Thus, AI is able to analyze medical images like X-rays, MRIs, and CT scans to detect anomalies. Here are some of the best generative ai use cases to study: 1.

Medical 52

Medical Healthcare Hospitality Entertainment 52

ProjectPro

JANUARY 27, 2023

You have probably heard the saying, "data is the new oil". It is extremely important for businesses to process data correctly since the volume and complexity of raw data are rapidly growing. Well, it surely is!

BI 52

BI ETL Tools Retail Healthcare 52

Towards Data Science

OCTOBER 15, 2024

A quick recap of part i The evolution of a data pipeline In part I , we watched SmartGym grow into (version 2.1), an integrated health and fitness platform that streams , processes , and saves data from a range of gym equipment sensors and medical devices. With only one data source, consistency is implied.

Architecture 75

Architecture Data Database Systems 75

Edureka

MARCH 15, 2025

Because of their smaller size, which reduces processing latency, they are perfect for AI customer support, real-time data analysis, and other applications where speed is crucial. This is due to the fact that they are not sufficiently refined and that they are trained using publicly available, publicly published raw data.

Entertainment 40

Entertainment Retail Education Healthcare 40

ProjectPro

FEBRUARY 8, 2016

Different types, types, and stages of data analysis have emerged due to the big data revolution. Data analytics is booming in boardrooms worldwide, promising enterprise-wide strategies for business success. The main techniques used here are data mining and data aggregation. using data and information.

Data Mining 56

Data Mining Big Data Medical Data Analytics 56

AltexSoft

MAY 14, 2021

Data can be incomplete, inconsistent, or noizy, decreasing the accuracy of the analytics process. Due to this, data veracity is commonly classified as good, bad, and undefined. That’s quite a help when dealing with diverse data sets such as medical records, in which any inconsistencies or ambiguities may have harmful effects.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

JANUARY 11, 2024

For example, a retail store generates data regularly related to purchases. Now, they turn these raw data units into a fruitful chunk of information based on which they plan their future marketing strategies. Any department wanting to access any data unit would only have to give the command and get the required information.

Business Intelligence 52

Business Intelligence BI Raw Data Media 52

Snowflake

APRIL 5, 2023

Let’s take a healthcare clinical quality reporting (CQR) use case as an example to explore the data modeling approaches. In CQR, data has a hierarchical structure with the flow starting from the patient, their interaction with a healthcare provider, and medical procedures followed by diagnosis.

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

Knowledge Hut

NOVEMBER 2, 2023

Image Recognition: Machine learning models can be specifically programmed to identify or categorize photos, thus opening doors to a wide range of tasks such as object detection, facial recognition, medical image analysis, and more. What Should You Choose Between Generative AI and Machine Learning?

Machine Learning 52

Machine Learning Deep Learning Utilities Medical 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake Machine Learning BI 64

U-Next

SEPTEMBER 23, 2022

According to reports , Netflix saves $1 billion annually by enhancing its client retention strategy with data analytics. What data analysis techniques are companies using to produce these great results? . It offers data that makes it easier to comprehend how the company is doing on a global scale. Predictive Analysis.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

U-Next

AUGUST 18, 2022

Data Science may combine arithmetic, business savvy, technologies, algorithm, and pattern recognition approaches. These factors all work together to help us uncover underlying patterns or observations in raw data that can be extremely useful when making important business choices. Theaters, channels, etc.,

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

Knowledge Hut

APRIL 23, 2024

Big Data Use Cases in Industries You can go through this section and explore big data applications across multiple industries. Clinical Decision Support: By analyzing vast amounts of patient data and offering in-the-moment insights and suggestions, use cases for big data in healthcare helps workers make well-informed judgments.

Big Data 52

Big Data Recruitment Retail Transportation 52

Edureka

JANUARY 18, 2024

Need for Data Science Data scientists play a vital part in improving decision-making, increasing business efficiency, and turning massive volumes of data into actionable insights. Their contribution to risk management, medical progress, and research makes them indispensable in the data-driven world of today.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

NOVEMBER 14, 2015

These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. These Apache Spark projects are mostly into link prediction, cloud hosting, data analysis, and speech analysis. Data Integration 3.Scalability Specialized Data Analytics 7.Streaming

Hadoop 52

Hadoop Project Big Data Healthcare 52

Edureka

APRIL 17, 2023

What is the Role of Data Analytics? Data analytics is used to make sense of data and provide valuable insights to help organizations make better decisions. Data analytics aims to turn raw data into meaningful insights that can be used to solve complex problems.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

ProjectPro

OCTOBER 18, 2021

To build such ML projects, you must know different approaches to cleaning raw data. Also, must have a thorough understanding of regression analysis especially, simple linear regression. Developing such ML projects requires an in-depth understanding of image clustering, classification , computer graphics, and data analysis.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

OCTOBER 27, 2021

Transaction Fraud Detection Project Fraud detection has been a significant problem in the banking, insurance, and medical sectors. The large amount of confidential data stored online makes the financial and banking sector vulnerable and prone to security breaches. Unlock the ProjectPro Learning Experience for FREE 6.

Finance 52

Finance Machine Learning Project Banking 52

U-Next

SEPTEMBER 23, 2022

Reframing course material based on data acquired depending on what a student learns and to what extent by real-time monitoring of course components of database is useful to students. As a result of proper data analysis, new developments in grading methods have been created. It is not as simple as converting data into insights.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

Knowledge Hut

OCTOBER 27, 2023

Power BI projects cover a wide range of industries and data analysis scenarios, allowing you to gain experience in different contexts. Weather Tracker The weather tracker project involves visualizing historical weather data to provide insights into temperature trends, precipitation, and weather conditions.

BI 52

BI Project Datasets Healthcare 52

Edureka

APRIL 1, 2025

Data augmentation has many uses in different businesses and helps improve the performance of machine learning models in many areas. Healthcare: Helps doctors detect diseases better by creating slightly different versions of medical scans like X-rays and MRIs. Data Analysis The dataset has two classes: cat and dog.

Datasets 40

Datasets Machine Learning Deep Learning Data 40