Knowledge Hut

JUNE 20, 2023

Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters. Facial reorganization, social media optimization, etc. Additionally, they create and test the systems necessary to gather and process data for predictive modelling. Weka: Weka is a well-known open-source machine-learning application.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 26, 2023

Data Analytics is a process where data is inspected, transformed and interpreted to discover some useful bits of information from all the noise and make decisions accordingly. It forms the entire basis of the social media industry and finds a lot of use in IT, finance, hospitality and even social sciences.

Certification 52

Certification Data Analytics BI AWS 52

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 2, 2015

It is difficult to make sense out of billions of unstructured data points (in the form of news articles, forum comments, and social media data) without powerful technologies like Hadoop, Spark and NoSQL in place. times better than those with ad-hoc or decentralized teams.

Big Data 40

Big Data Hadoop Banking Retail 40

U-Next

SEPTEMBER 28, 2022

HR Analytics collects and analyzes data that may help firms get essential insight into their operations. Data Collection . One of the first tasks in HR Analytics is to collect relevant data. Generally, the data needed to perform HR Analytics originates from the existing HR systems.

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

U-Next

SEPTEMBER 22, 2022

Data that is structured, such as spreadsheets or machine data, is used in machine learning (ML). A deep learning algorithm (DL) analyzes unstructured data such as text, video, social media posts, audio, images, etc. . Approximately 80% of a data scientist’s time is spent on this step. Random Forest .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

AltexSoft

MAY 14, 2021

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc. Data ingestion.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

AUGUST 24, 2021

Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation. Generally, Twitter sentiment is analyzed in most big data projects using parsing. There are three stages in this real-world data engineering project. The second stage is data preparation.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

AUGUST 9, 2021

Fake news is a deliberate misrepresentation of data and facts. With easy accessibility to the internet, new media and news houses have popped up all over the country. How to start a Data Science Project in Python To start a Data Science project, one needs to select a topic that one finds intriguing and interesting.

Data Science 52

Data Science Python Project Datasets 52

ProjectPro

OCTOBER 20, 2021

This would include the automation of a standard machine learning workflow which would include the steps of Gathering the data Preparing the Data Training Evaluation Testing Deployment and Prediction This includes the automation of tasks such as Hyperparameter Optimization, Model Selection, and Feature Selection. Explain further.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Knowledge Hut

DECEMBER 26, 2023

Learn the actual strategies and processes being used to learn about customers, improve manufacturing, foster innovation, increase safety, and much more—from technology, media, and retail to sports teams, governmental organizations, and financial institutions.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

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. Components of Database of the Big Data Ecosystem .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

ProjectPro

MAY 31, 2021

And even if you’re not very active on social media, I’m sure you now and then check your phone before leaving the house to see what the traffic is like on your route to know how long it could take you to reach your destination. There are open data platforms in several regions (like data.gov in the U.S.).

Big Data 52

Big Data Coding Project Hadoop 52