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 Deep Learning Healthcare 122

DareData

JULY 29, 2020

The Challenges of Medical Data In recent times, there have been several developments in applications of machine learning to the medical industry. Odds are that your local hospital, pharmacy or medical institution's definition of being data-driven is keeping files in labelled file cabinets, as opposed to one single drawer.

Data Pipeline 52

Data Pipeline Healthcare Medical Pipeline-centric 52

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

Knowledge Hut

NOVEMBER 27, 2023

Understanding what defines data in the modern world is the first step toward the Data Science self-learning path. There is a much broader spectrum of things out there which can be classified as data. This is important because this will help you understand what areas to focus on while following the Data Science Learning Path.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Monte Carlo

OCTOBER 5, 2023

Enter the world of data clean rooms – the super secure havens where you can mix and mingle data from different sources to get insights without getting your hands dirty with the raw data. How data clean rooms work Data clean rooms combine and analyze different data sources without directly accessing the raw data.

Raw Data 52

Raw Data Medical Manufacturing AWS 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

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

NOVEMBER 16, 2023

Interpret medical images and documentation Generative AI can be trained to interpret medical images and documentation, providing insights that assist in diagnosis and treatment planning. Thus, AI is able to analyze medical images like X-rays, MRIs, and CT scans to detect anomalies.

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

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

Edureka

MARCH 15, 2025

This is due to the fact that they are not sufficiently refined and that they are trained using publicly available, publicly published raw data. Given where that training data came from, it’s probable that it might misrepresents or underrepresents particular groups or concepts be given the wrong label.

Entertainment 40

Entertainment Retail Education Datasets 40

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

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

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

Edureka

JULY 4, 2024

Continuous Evaluation Continuous evaluation involves inspecting raw data to find AI datasets and model constraints. This technique lets them spot data or model errors, biases, and flaws and remedy them. ANI could give better financial projections, safer autonomous cars, and quicker medical diagnostics.

Medical 40

Medical Algorithm Datasets Healthcare 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

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

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 Data Analytics 56

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 Certification Raw Data 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. 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

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

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

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

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

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

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

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

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

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

Edureka

FEBRUARY 12, 2025

Encoder Network Purpose : Encodes the input data xx into a latent representation zz by learning the parameters μencodermu_{text{encoder}} and σencodersigma_{text{encoder}} of the approximate posterior distribution q(z∣x)q(z|x). Architecture : Input: Raw data xx (e.g., image pixels or text embeddings).

Architecture 40

Architecture Medical Pharmaceutical Deep Learning 40

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.

Machine Learning 40

Machine Learning Algorithm Datasets Utilities 40

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

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

Edureka

JULY 18, 2024

Data collection is a systematic process of gathering and measuring information from various sources to gain insights and answers. Data analysts and data scientists collect data for analysis. In fact, collecting, sorting, and transforming raw data into actionable insights is one of the most critical data scientist skills.

Data Collection 40

Data Collection Media Data Science Government 40

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. 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

NOVEMBER 14, 2015

Big data technologies used: Microsoft Azure, Azure Data Factory, Azure Databricks, Spark Big Data Architecture: This sample Hadoop real-time project starts off by creating a resource group in azure. To this group, we add a storage account and move the raw data.

Hadoop 52

Hadoop Project Big Data Healthcare 52