Knowledge Hut

JUNE 28, 2023

In our data-driven world, our lives are governed by big data. The TV shows we watch, the social media we follow, the news we read, and even the optimized routes we take to work are all influenced by the power of big data analytics. It focuses on transforming raw data into actionable insights for decision-making purposes.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Knowledge Hut

JUNE 20, 2023

Let's find out the differences between a data scientist and a machine learning engineer below to make an informative decision. Data Engineer vs Machine Learning Engineer While there are similarities between a data engineer and a machine learning engineer, both play a key role in the technological world.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

U-Next

SEPTEMBER 23, 2022

Concepts such as components of databases and other attributes related to Data Science have taken the world by storm. To handle this large amount of data, we want a far more complicated architecture comprised of numerous components of the database performing various tasks rather than just one. . Apple is one such technology.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

U-Next

SEPTEMBER 28, 2022

HR Analytics assist in the streamlining of the employee recruiting process by: – Allowing for the rapid and automatic collecting of candidate data from different sources. – Providing historical data on periods of over-recruiting and under-hiring, using which firms may establish effective long-term hiring strategies.

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

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.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 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

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

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. This big data project discusses IoT architecture with a sample use case. The second stage is data preparation.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JUNE 2, 2015

The General Services Administration has partnered with a Massachusetts based big data analytics company FirstFuel to save $13 million annually in the energy costs across 180 buildings. Business win online when they use hard-to-copy technology to deliver a superior customer experience through mining larger and larger datasets.”-

Big Data 40

Big Data Hadoop Banking Retail 40

ProjectPro

OCTOBER 20, 2021

The Gartner Hype Cycle Methodology is an industry-approved representation of how a technology or application will mature over time. It represents initial interest, a peak in its hype, rolls down to reduced interest in the technology followed by maturity and implementation. Gartner is a market leader in market research.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

AUGUST 9, 2021

Following is a non-exhaustive list of libraries available to use in Python for Data Science - seaborn, matplotlib , sci-kit learn, NumPy , SciPy , requests, pandas , regex etc. Aptly so, Python is a fine choice for beginners to get started learning data science. Fake news is a deliberate misrepresentation of data and facts.

Data Science 52

Data Science Python Project Datasets 52