Workfall

SEPTEMBER 18, 2023

Empowering Data-Driven Decisions: Whether you run a small online store or oversee a multinational corporation, the insights hidden in your data are priceless. Airbyte ensures that you don’t miss out on those insights due to tangled data integration processes.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Data Engineering Weekly

MAY 8, 2023

Data enrichment is crucial because it is what turns raw data into pure gold. By adding new information or filling in missing data points, data analysts and engineers can enhance their datasets and gain new insights that would be impossible with raw data alone. in medical or financial contexts).

Process 52

Process Banking Raw Data Finance 52

RandomTrees

DECEMBER 20, 2023

Modern medical professionals and institutions use Edge AI for surgical procedures. Moreover, it allows patients to monitor their activities and perform remote surgeries. Instead of manually updating the models, the updates get uploaded to the cloud, which reduces privacy concerns.

IT 52

IT Hospitality Healthcare Deep Learning 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

DataKitchen

AUGUST 19, 2021

Placing responsibility for all the data sets on one data engineering team creates bottlenecks. Let’s consider how to break up our architecture into data mesh domains. In figure 4, we see our raw data shown on the left. First, the data is mastered, usually by a centralized data engineering team or IT.

Pharmaceutical 98

Pharmaceutical Data Lake Data Warehouse Raw Data 98

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 Retail 52

Edureka

JANUARY 23, 2023

Deployment – Data analysts run the analysis and submit the results to the decision-makers for further action. Types Of Data Mining Descriptive Data Mining Descriptive data mining aims to transform raw data into information that can be used for analysis and preparing reports.

Data Mining 52

Data Mining Banking Retail Medical 52

Knowledge Hut

OCTOBER 24, 2023

How to Use the Pareto Chart You can use the Pareto chart to capture raw data accurately, represent it, and identify potential problems with simple-to-understand units. So far, FMEA has been used in various industry verticals such as healthcare, patient safety, collaborations, and the Idealized Design of Medication Systems (IDMS).

Manufacturing 52

Manufacturing Medical Raw Data Certification 52

Knowledge Hut

JULY 28, 2023

DL models automatically learn features from raw data, eliminating the need for explicit feature engineering. Healthcare: DL models are used for medical image analysis, disease diagnosis, drug discovery, and personalized medicine. Generative Modeling: Creating new content, such as generating realistic images, music, or text.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

AltexSoft

MAY 12, 2022

The same relates to those who buy annotated sound collections from data providers. But if you have only raw data meaning recordings saved in one of the audio file formats you need to get them ready for machine learning. Audio data labeling. No surprise that the initial application of MFCCs is speech and voice recognition.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

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 NoSQL Machine Learning 40

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. Lastly, feature engineering is another common task that is required by both generative AI and machine learning.

Machine Learning 52

Machine Learning Deep Learning Utilities Medical 52

U-Next

SEPTEMBER 29, 2022

Data from IoT sensors, text, speech, and vision are all included. A medical diagnosis can benefit greatly from multimodal approaches, including optical character recognition and machine vision. . Data Wrangling. Depending on the data you’re using and your goal, the exact methods vary from project to project. .

Medical 40

Medical Machine Learning Manufacturing Raw Data 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 Retail Recruitment Transportation 52

AltexSoft

NOVEMBER 17, 2021

Digitizing medical reports and other records is one of the critical tasks for medical institutions to optimize their document flow. But some healthcare organizations like FDA implement various document classification techniques to process tons of medical archives daily. An example of document structure in healthcare insurance.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

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 Medical Data Science Business Intelligence 40

ProjectPro

FEBRUARY 25, 2022

Each stage of the data pipeline passes processed data to the next step, i.e., it gives the output of one phase as input data into the next phase. Data Preprocessing- This step entails collecting raw and inconsistent data selected by a team of experts.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

AltexSoft

OCTOBER 22, 2021

Neurons are individual nodes that are responsible for data flow and computations. Generally speaking, they perform the following tasks: receive input signals either from the set of raw data or from neurons of a preceding layer, perform some mathematical calculations on the signals they received, and.

Deep Learning 52

Deep Learning Raw Data Algorithm Machine Learning 52

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

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

U-Next

SEPTEMBER 23, 2022

Patients can be given evidence-based treatment that has been identified and prescribed after reviewing previous medical data. In the healthcare industry, wearable gadgets and sensors have been launched that can transmit real-time data to a patient’s electronic health record. Apple is one such technology. Ingestion .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

Monte Carlo

MAY 31, 2023

Companies that leverage CRMs might mitigate risks related to broad domain access by implementing a framework that includes data collection controls, human-error checks, restricted raw data access, cybersecurity countermeasures, and frequent data back-ups.

Building 52

Building Data Validation Healthcare Data Integration 52

U-Next

MARCH 14, 2023

The effects of inaccurate AI outputs can be important in various contexts, such as in health, medical, military, legal, and financial applications. It can be a part of investigating problems with the model or the raw data used to train it.

Algorithm 40

Algorithm Machine Learning Datasets Medical 40

U-Next

OCTOBER 20, 2022

Incorrect responses will produce erroneous results, which will involve further data collection and investigation. . One such instance involves flawed medical research that may endanger human life. . What Are the Different Methods of Data Collection? . Common Challenges in Data Collection .

Data Collection 52

Data Collection Big Data Data Medical 52

Knowledge Hut

OCTOBER 27, 2023

Weather Tracker The weather tracker project involves visualizing historical weather data to provide insights into temperature trends, precipitation, and weather conditions. Weather data is abundant, and it offers unique variations and patterns. Grab info from a website using good APIs. Look for patterns in temperature.

BI 52

BI Project Datasets Healthcare 52

U-Next

SEPTEMBER 23, 2022

It offers data that makes it easier to comprehend how the company is doing on a global scale. Additionally, it is crucial to present the various stakeholders with the current raw data. Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Diagnostic Analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

ProjectPro

JULY 26, 2021

Deep Learning in Medical Imaging using TensorFlow 5. One possible way of achieving this is training a CNN with the MFCC spectrograms obtained from the raw data. Recommender Systems (Tweet Ranking) using TensorFlow 2. Auto Classification of Shopping Products using TensorFlow 3. Gesture Controlled Game using TensorFlow 4.

Project 40

Project Deep Learning Medical Datasets 40

AltexSoft

DECEMBER 15, 2021

The University of Pittsburgh Medical Center, or UPMC for short, sprawls across 40 hospitals and provides services in various specialty areas, including living donor liver transplants (LDLT.) feature engineering or feature extraction when useful properties are drawn from raw data and transformed into a desired form, and.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

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

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 BI Google Cloud 64

Knowledge Hut

DECEMBER 29, 2023

It has many different applications in the real world, including medical research, search engines, and business intelligence, to name a few of the sectors in which it may be used. It is a part of what we now refer to as artificial intelligence (AI).

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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

ProjectPro

FEBRUARY 8, 2016

The main techniques used here are data mining and data aggregation. Descriptive analytics involves using descriptive statistics such as arithmetic operations on existing data. These operations make raw data understandable to investors, shareholders, and managers.

Data Mining 56

Data Mining Big Data Medical Healthcare 56

ProjectPro

JANUARY 17, 2022

Medical Diagnosis - The process of diagnosing whether the patient has a given disease and its severity is a multiclass problem. A neural network is made of small units called nodes, and this is where the computation on data is done using transformation functions, also known as activation functions.

Python 52

Python Algorithm Datasets Machine Learning 52

ProjectPro

OCTOBER 18, 2021

To build such ML projects, you must know different approaches to cleaning raw data. You can leverage these data to create a system that can predict the patient's ailment and forecast the admission. KenSci is an AI-based solution that can analyze clinical data and predict sickness along with more intelligent resource allocation.

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

ProjectPro

FEBRUARY 19, 2021

Benefits and Applications of Principal Component Regression Analysis One of the greatest advantages of PCR is the consistency check that one gets on the raw data, which you don’t have for MLR. Transform this vector back to the scale of the original independent variables. PCR is also way less prone to overfitting.

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40