Knowledge Hut
DECEMBER 26, 2023
Offer a Wide Range of Specializations: Students are free to select from a wide variety of specializations, from traditional fields (such as languages, finance, accounting, mathematics, and economics) to contemporary fields (Machine Learning, Deep Learning, Cybersecurity, Cloud Computing, etc.)
Knowledge Hut
JUNE 3, 2024
R programming This programming language is used for statistical computing and graphic support. SQL This is a programming language that is used for managing data. SAS SAS stands for Statistical Analytics Software. This is used for the management of information, analysis, and reporting.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Knowledge Hut
JANUARY 16, 2024
Some of the applications with promising career prospects include healthcare, finance, insurance, pharmaceuticals, farming, retail, oil and gas, and more. Several programming languages can be used to do this. R Programming: R is a programming language built by statisticians specifically to work with programming that involves statistics.
ProjectPro
AUGUST 11, 2016
However, if you discuss these tools with data scientists or data analysts, they say that their primary and favourite tool when working with big data sources and Hadoop , is the open source statistical modelling language – R. This limitation of R programming language comes as a major hindrance when dealing with big data.
ProjectPro
SEPTEMBER 27, 2021
Correlation vs. Covariance In Finance and Portfolio Management Correlation and Covariance are statistical tools whose applications spread across different fields. One such field is finance , where investors often use them in stock markets. How to find correlations among feature variables in R?
Knowledge Hut
MAY 2, 2024
Here is a list of such tools and libraries: Tools Programming Language Machine learning can be coded either using R programming language or Python. And the world is already witnessing its magic – in health care, finance industry, automotive industry, image processing and voice recognition and many other fields.
Knowledge Hut
MAY 9, 2024
Responsibilities Create and test NLP systems Choose algorithms for NLP tasks Select appropriate datasets Identify text representations for language features Skills Required NLP engineers need skills such as Python, Java, and R programming, data modeling, semantic extraction, classification algorithms, problem-solving, and communication.
Expert insights. Personalized for you.
95 
Let's personalize your content