Precisely

MARCH 7, 2024

From documenting losses and damages to verifying that a claim submission meets all the necessary criteria, each step requires meticulous attention to detail and often entails reviewing lengthy narrative documents such as accident reports, medical records, and legal demands letters.

Insurance 72

Insurance Process Medical Data Governance 72

Knowledge Hut

MAY 31, 2023

Improved Detection of Elusive Polyps Language: Python Data set: Png file Source code: Polyp-Segmentation-using-UNET-in-TensorFlow-2.0 Large datasets of colonoscopy images can be used to train AI systems to identify patterns and traits common to various polyp kinds.

Project 96

Project Healthcare Deep Learning Transportation 96

Data Engineering Weekly

MARCH 3, 2024

GraphRAG significantly improves question-and-answer performance over traditional vector similarity techniques using LLM-generated knowledge graphs for document analysis. link] Nvidia: What Is Sovereign AI?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you. js: To create interactive and customizable charts, D3.js

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

DECEMBER 26, 2023

In the twenty-first century, data science is regarded as a profitable career. It is simply the study of mathematics, statistics, and computer science to extract information from structured and unstructured data. Data science, which solves problems by connecting relevant data for later use, aids these emerging technologies.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Knowledge Hut

JANUARY 24, 2024

This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist. The primary objective of a data scientist is to analyze complex datasets to uncover patterns, trends, and valuable information that can aid in informed decision-making.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Towards Data Science

MAY 3, 2023

VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python. You can use VDK to build data lakes and ingest raw data extracted from different sources, including structured, semi-structured, and unstructured data.

Data Lake 80

Data Lake Data SQL Data Warehouse 80

Knowledge Hut

JANUARY 30, 2024

In summary, data extraction is a fundamental step in data-driven decision-making and analytics, enabling the exploration and utilization of valuable insights within an organization's data ecosystem. What is the purpose of extracting data? The process of discovering patterns, trends, and insights within large datasets.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

JUNE 26, 2023

In a nutshell, this initiative uses social media data to provide real-time market sentiment predictions. The process flow for this project is shown in the following diagram: This project's documentation will serve as a starting point from which you may draw ideas for your own work. The data flow is outlined below by Dr. Hussain.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

APRIL 23, 2024

Big Data certification course will support you in learning big data skills from the greatest mentors to help you build a career in big data. Top 10 Disadvantages of Big Data 1. Need for Skilled Personnel We see data in different forms; it can be categorized into structured, semi-structured, and unstructured data.

Big Data 52

Big Data Media Government Big Data Skills 52

AltexSoft

MAY 27, 2022

The tool processes both structured and unstructured data associated with patients to evaluate the likelihood of their leaving for a home within 24 hours. The main sources of such data are electronic health record ( EHR ) systems which capture tons of important details. Inpatient data anonymization. Factors impacting LOS.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

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

Knowledge Hut

MAY 2, 2024

It achieves this using abstraction layer called RDD (Resilient Distributed Datasets) in combination with DAG, which is built to handle failures of tasks or even node failures. Streaming Data: Streaming is basically unstructured data produced by different types of data sources. and the deviations could be huge.

Scala 52

Scala Hospitality Healthcare Retail 52

Knowledge Hut

JULY 26, 2023

Database Software- Document Store (e.g.-MongoDB): MongoDB): MongoDB is a prominent database software that comes under the category of "document store" databases. Document store databases, such as MongoDB, are intended to store and manage data that is unstructured or semi-structured, such as documents.

Database 52

Database NoSQL Telecommunication MongoDB 52

ProjectPro

NOVEMBER 17, 2021

Instead, working on a sentiment analysis project with real datasets will help you stand out in job applications and improve your chances of receiving a call back from your dream company. These reviews have to go through a text processing stage that primarily uses TFIDF (Term Frequency Inverse Document Frequency) to convert text into integers.

Coding 52

Coding Project Entertainment Datasets 52

AltexSoft

FEBRUARY 11, 2023

Translating business requirements into an effective data infrastructure Data architects collect and document business requirements to clearly define objectives a company wants to reach with data. This privacy law must be kept in mind when building data architecture. Let’s discuss each of them in detail.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. The Replication Manager support matrix is documented in our public docs.

Cloud 73

Cloud Data Lake Cloud Storage Metadata 73

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. With the amounts of data involved, this can be crucial to utilizing a data lake effectively.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

ProjectPro

OCTOBER 18, 2021

Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. They have a well-researched collection of data such as ratings, reviews, timestamps, price, category information, customer likes, and dislikes.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

MAY 23, 2024

Because of this, data science professionals require minimum programming expertise to carry out data-driven analysis and operations. It has visual data pipelines that help in rendering interactive visuals for the given dataset. Python: Python is, by far, the most widely used data science programming language.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Monte Carlo

JUNE 27, 2023

He then announced Unifeid Iceberg Tables: a single mode to interact with external data with no tradeoffs whether or not the coordination of changes writes happens by Snowflake or a different system. Document AI Christian’s next announcement may have been the buzziest of the buzzy: Snowflake’s Document AI.

Data Lake 59

Data Lake Government SQL Unstructured Data 59

Zalando Engineering

NOVEMBER 6, 2017

Ana has been building and leading multidisciplinary teams that include both data scientists and engineers working together on data science products that scale to millions of documents a day, on top of making an impact for the business. Quality structured data is not easy to get in fashion. It’s messy.

Data Science 40

Data Science Deep Learning Media Unstructured Data 40

ProjectPro

NOVEMBER 14, 2015

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming Specialized Data Analytics 7.Streaming We need to analyze this data and answer a few queries such as which movies were popular etc. Following this, we spring up the Azure spark cluster to perform transformations on the data using Spark SQL.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JULY 13, 2015

Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data. JP Morgan has massive amounts of data on what its customers spend and earn. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

JULY 22, 2016

Data warehouses do a good job for what they are meant to do, but with disparate data sources and different data types like transaction logs, social media data, tweets, user reviews, and clickstream data –Data Lakes fulfil a critical need. There is a choice when writing this data to the data lake.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

Data Engineering Podcast

FEBRUARY 27, 2022

So now your modern data stack is set up. How is everyone going to find the data they need, and understand it? Select Star is a data discovery platform that automatically analyzes & documents your data. So now your modern data stack is set up.

Unstructured Data 100

Unstructured Data Cloud Management Metadata 100

ProjectPro

JULY 2, 2021

This task is achieved by designing algorithms that can extract meaning from large datasets in audio or text format by applying machine learning algorithms. This aim is achieved by transforming unstructured data into a machine-readable format. It gives an insight into the topics of those documents. Bag-of-Words 2.

Algorithm 40

Algorithm Machine Learning Recruitment Banking 40

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. Generally, a data scientist spends 78% of his time in preparing the data for big data analytics.

Big Data 52

Big Data Process Data Cleanse Data Analytics 52

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection? It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

FEBRUARY 8, 2023

Scale Existing Python Code with Ray Python is popular among data scientists and developers because it is user-friendly and offers extensive built-in data processing libraries. For analyzing huge datasets, they want to employ familiar Python primitive types. being data exactly matches the classifier, and 0.0

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

JANUARY 25, 2024

What is Data Cleaning? Data cleaning, also known as data cleansing, is the essential process of identifying and rectifying errors, inaccuracies, inconsistencies, and imperfections in a dataset. It involves removing or correcting incorrect, corrupted, improperly formatted, duplicate, or incomplete data.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

AltexSoft

NOVEMBER 1, 2023

NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. By doing so, NER transforms vast amounts of textual content into organized datasets, ready for further analysis. At its most basic, a document or sentence is just a long string of characters.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

ProjectPro

JANUARY 19, 2022

Azure Data engineers work with Azure AI services developed on top of Azure Cognitive Services APIs to supply end-users with various types of ready-made models. Azure Data Engineers use the Azure Form Recognizer service to extract data from various documents and generate outputs automatically.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Cloudera

NOVEMBER 18, 2021

The variety of formats, unstructured nature, and dispersed location of these documents present several challenges for critical business decisions. To enable faster and easier access to millions of documents, ExxonMobil combined domain specific knowledge and a combination of Cloudera tools with cloud services.

Banking 77

Banking Data Lake Telecommunication Data 77

ProjectPro

AUGUST 9, 2021

Top 20 Python Projects for Data Science Without much ado, it’s time for you to get your hands dirty with Python Projects for Data Science and explore various ways of approaching a business problem for data-driven insights. 1) Music Recommendation System on KKBox Dataset Music in today’s time is all around us.

Data Science 52

Data Science Python Project Datasets 52

U-Next

AUGUST 25, 2022

MongoDB is built to fulfil the needs of modern apps, with a technical base that allows you through: The document data model demonstrates the most effective approach to work with data. A distributed systems architecture allows you to intelligently place data wherever you want it. What is MongoDB? What is MongoDB Database?

MongoDB 40

MongoDB Architecture NoSQL MySQL 40