Knowledge Hut

MAY 1, 2024

I nformation must be extracted from this data to make sense of it, and we must gain insights from th is information that will help us to understand repeating patterns. This is where Data Science comes into the picture. These steps will help understand the data, extract hidden patterns and put forward insights about the data.

Algorithm 98

Algorithm Raw Data Computer Science Data Science 98

AltexSoft

MAY 12, 2022

But acoustic signals can tell us even more if analyze them using modern technologies. Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. Audio data transformation basics to know. Below we’ll give most popular use cases.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Knowledge Hut

NOVEMBER 3, 2023

Companies around the world, especially fast-paced technology companies, rely on data analytics to turn both structured and unstructured into meaningful insights in the modern world. Both are great solutions, but recognizing their differences is critical, and SAP BI vs Power BI is a popular comparison among data nerds.

BI 52

BI Cloud Retail Medical 52

Knowledge Hut

MAY 2, 2024

Pharma, education technology, industries, science and space, digital inventions, maps and navigation, robotics – you name the domain and you will have instances of machine learning innovations made in it. In real time, this includes feeding the data from different sources such as text files, word documents or excel sheets.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

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

SEPTEMBER 26, 2021

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. Data Scientists use ML algorithms to make predictions on the data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

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