U-Next

AUGUST 11, 2022

Data Scientist: A Data Scientist studies data in depth to automate the data collection and analysis process and thereby find trends or patterns that are useful for further actions. Data Analysts: With the growing scope of data and its utility in economics and research, the role of data analysts has risen.

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. It ensures that the data collected from cloud sources or local databases is complete and accurate.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

NOVEMBER 27, 2023

Common processes are: Collect raw data and store it on a server. This is untouched data that scientists cannot analyze straight away. This data may come from surveys, or through popular automatic data collection methods, like using cookies on a website.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

The insights from any data are crucial for any business. The field of data Analytics has grown more than 50 times from the early 2000s to 2021. For more information o n Data Science, check out Data Science training classes. This credential is offered by the leader in the industry, Microsoft Azure.

Certification 52

Certification Data Analytics BI AWS 52

Knowledge Hut

JUNE 28, 2023

Data Mining vs Business Intelligence: Application Areas Data Mining: Data mining finds applications in diverse areas such as customer segmentation, fraud detection, market basket analysis, sentiment analysis, recommendation systems, healthcare analytics, and predictive maintenance.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection. to schedule the project activities.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 31, 2023

Let's dive into the world of data augmentation, which addresses this challenge by artificially increasing the size of the training data by applying transformations to the existing data, With a humongous amount of data generated every second, collecting qualitative and relevant data to train machines has become tedious.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

ProjectPro

DECEMBER 16, 2021

If you look at the machine learning project lifecycle , the initial data preparation is done by a Data Scientist and becomes the input for machine learning engineers. Later in the lifecycle of a machine learning project, it may come back to the Data Scientist to troubleshoot or suggest some improvements if needed.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

ProjectPro

MAY 31, 2021

There are open data platforms in several regions (like data.gov in the U.S.). These open data sets are a fantastic resource if you're working on a personal project for fun. Data Preparation and Cleaning The data preparation step, which may consume up to 80% of the time allocated to any big data or data engineering project, comes next.

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

DECEMBER 21, 2021

Not only is it hard to get lots of data (particularly for the cases of highly specialized niches such as healthcare), but manually adding tags for each item of data is also a difficult, time-consuming task requiring the work of human labelers. It is possible to render as much synthetic data as needed for the project.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

AltexSoft

MAY 14, 2021

Big Data analytics processes and tools. Data ingestion. The process of identifying the sources and then getting Big Data varies from company to company. It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing. Apache Kafka.

Big Data 78

Big Data Data Analytics IT NoSQL 78

U-Next

SEPTEMBER 23, 2022

The fast development of digital technologies, IoT goods and connectivity platforms, social networking apps, video, audio, and geolocation services has created the potential for massive amounts of data to be collected/accumulated. Big Data in Healthcare Industry . Components of Database of the Big Data Ecosystem .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40