Knowledge Hut

JULY 26, 2023

Consider exploring relevant Big Data Certification to deepen your knowledge and skills. What is Big Data? Big Data is the term used to describe extraordinarily massive and complicated datasets that are difficult to manage, handle, or analyze using conventional data processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

AltexSoft

MAY 12, 2022

Audio data transformation basics to know. Before diving deeper into processing of audio files, we need to introduce specific terms, that you will encounter at almost every step of our journey from sound data collection to getting ML predictions. Labeling of audio data in Audacity. Source: Towards Data Science.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

AltexSoft

MAY 27, 2022

The main sources of such data are electronic health record ( EHR ) systems which capture tons of important details. Yet, there’re a few essential things to keep in mind when creating a dataset to train an ML model. Inpatient data anonymization. Medical datasets with inpatient details. Syntegra synthetic data.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Knowledge Hut

NOVEMBER 16, 2023

Data Collection and Preparation To create effective Generative AI models, you should start by gathering a good dataset that matches your project's needs. Make sure the dataset is big enough to train a strong model. Let me help you with an in-depth overview of how to develop Generative AI models.

Medical 52

Medical Datasets Deep Learning Healthcare 52

AltexSoft

APRIL 27, 2023

The data for evaluation was extracted from electronic health records and medical claims. As the company explains , it can be compared to weather models considering a large amount of data like air pressure, wind speeds, and moisture to help meteorologists predict the weather. as well as make use of external medical datasets.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Knowledge Hut

JUNE 4, 2024

The ability to collect and analyze data from many sources can help drug companies find new ways to treat diseases, but it also has the potential to improve patient outcomes. Predictive models have become very common when it comes to applications of Data Science in pharmaceutical industry. customer purchase history).

Pharmaceutical 52

Pharmaceutical Data Science Medical Deep Learning 52

ProjectPro

DECEMBER 28, 2021

Allied Market Research estimated the global big data and business analytics market to be valued at $198.08 Managing, processing, and streamlining large datasets in real-time is a key functionality of big data analytics in an enterprise to enhance decision-making. billion by 2030. pre-computed models). Too much theoretical stuff?

Architecture 52

Architecture Kafka Java Scala 52

AltexSoft

JUNE 16, 2022

The first ones involve data collection and preparation to ensure it’s of high quality and fits the task. Here, you also do data splitting to receive samples for training, validation, and testing. Then you choose an algorithm and do the model training on historic data and make your first predictions.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

phData: Data Engineering

SEPTEMBER 27, 2024

They know where every piece of customer data is, what it means, and who’s been using it. A data catalog is a detailed inventory of all the customer data assets within your organization, including datasets, databases, APIs, and even reports and dashboards. A good data catalog will find them in seconds.

Data 52

Data Raw Data Data Lake Architecture 52

ProjectPro

JUNE 18, 2015

said Martha Crow, Senior VP of Global Testing at Lionbridge Big data is all the rage these days as various organizations dig through large datasets to enhance their operations and discover novel solutions to big data problems. 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

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? petabytes of unstructured data from 1 million customers every hour. Inkiru Inc.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Data Engineering Podcast

JANUARY 28, 2018

So there was like the small scale, spreadsheet and manually updating data and spreadsheets, and then sending that off to visualize and to like, big fortune 500 companies that had data warehouses and full internal API’s that we got access to. And they that group basically does census data collection in slums all over the world.

Data 100

Data Project Data Management Electronics 100

ProjectPro

DECEMBER 9, 2021

Generator Network ( Source ) As shown in the figure above, this generated image is fed to the Discriminator network as training data with fake labels. For true labels, the Discriminator model uses the raw input images from the MNIST dataset. We recommend using Anime Face Dataset. These are known as SGAN or Semi-Supervised GANs.

Project 52

Project Medical Datasets Deep Learning 52

U-Next

AUGUST 26, 2022

The top systems available today enable the whole analytical process, from access to data and preparation through Data Analysis and operationalization to outcomes tracking. Data Analytics Illustration. A solid Data Analytics system will have data visualisation features, which facilitate and speed up data exploration.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

ProjectPro

APRIL 20, 2017

There are various kinds of hadoop projects that professionals can choose to work on which can be around data collection and aggregation, data processing, data transformation or visualization. The dataset consists of metadata and audio features for 1M contemporary and popular songs.

Hadoop 40

Hadoop Big Data Coding Project 40

AltexSoft

MAY 12, 2023

You may encounter unstructured data in the form of text documents, which can be plain text files (.txt), As a form of electronic communication, emails often contain unstructured text data and various file attachments, such as images, documents, or spreadsheets. txt), Microsoft Word documents (.doc,docx), doc,docx), PDF files (.pdf),

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Snowflake

OCTOBER 24, 2024

It has been implemented in many high-profile use cases with sensitive data, including the 2020 U.S. Census Data Release and Apple’s user data collection , and is highlighted in the 2023 AI Executive Order. It complements data privacy methods that protect data at rest, in motion and in use.

Healthcare 89

Healthcare Medical Datasets Entertainment 89