U-Next

AUGUST 11, 2022

Other skills this role requires are predictive analysis, data mining, mathematics, computation analysis, exploratory data analysis, deep learning systems, statistical tests, and statistical analysis. 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

Edureka

FEBRUARY 18, 2023

Data analysis: The next step is to analyze the data to identify trends, patterns, and insights. This can be done using various analytical techniques such as statistical analysis, data mining, and machine learning. This helps decision-makers to quickly and easily interpret the data and identify key insights.

Business Intelligence 52

Business Intelligence BI SQL Data Analysis 52

U-Next

SEPTEMBER 13, 2022

Before we begin, rest assured that this compilation contains Data Science interview questions for freshers as well as early professionals. A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information.

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

AltexSoft

AUGUST 10, 2021

When combined with machine learning and data mining , it can make forecasts based on historical and existing data to identify the likelihood of conversion. So, the main difference from traditional lead scoring is the model’s ability to determine more reliable attributes based on expansive data. Predictive lead scoring.

Machine Learning 72

Machine Learning Data Mining Datasets Algorithm 72

U-Next

SEPTEMBER 21, 2022

The idiom “data is the new oil” appropriately explains how data is fueling practically every possible system across the planet. Everything from your online buying experience to your pastime, what you stream, and what you share on social media creates and operates on data that millions of people like you generate.

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

Knowledge Hut

APRIL 19, 2023

The process of gathering and compiling data from various sources is known as data Aggregation. Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. What is Data Aggregation?

Process 59

Process Data Mining Aggregated Data Portfolio 59

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

MARCH 27, 2024

Although it's open source, it only supports 10000 data rows and one logical processor. ML models can be deployed to the web or mobile (only when the user interface is ready for real-time data collection) with the assistance of Rapid Miner. Very High-Performance Analytics is required for the big data analytics process.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? Walmart acquired a small startup Inkiru based in Palo Alto, California to boost its big data capabilites. helps in targeted marketing, merchandising and fraud prevention. “Our ability to pull data together is unmatched”- said Walmart CEO Bill Simon. Inkiru Inc.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

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

Knowledge Hut

JANUARY 18, 2024

They also look into implementing methods that improve data readability and quality, along with developing and testing architectures that enable data extraction and transformation. Skills along the lines of Data Mining, Data Warehousing, Math and statistics, and Data Visualization tools that enable storytelling.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

JULY 26, 2023

These are mostly used for web scraping and data mining as they are real IP address of devices across the globe making it legitimate for gathering public data efficiently. Data Center Proxy A data centre proxy is a proxy that offers quick internet access and is capable of handling large traffic.

Data Mining 52

Data Mining Government Accessible Accessibility 52

AltexSoft

JULY 27, 2021

TikTok – the China-based social media platform popular with teenagers – recommends accounts to follow with the help of user-centered modeling. This type of CF uses machine learning or data mining techniques to build a model to predict a user’s reaction to items. How recommender systems work: data processing phases.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

U-Next

SEPTEMBER 22, 2022

The concept of predictive modeling can be explained as a form of data mining in which historical data is analyzed to identify patterns or trends, and then that knowledge is used to estimate the future. . Data that is structured, such as spreadsheets or machine data, is used in machine learning (ML).

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. What is a Data Scientist?

Retail 52

Retail Data Science Computer Science Entertainment 52

ProjectPro

MARCH 17, 2014

Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. To gain competitive advantage, organizations have to make the best use of the unstructured data collected for profitable business decision making. What is Big Data according to IBM?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

AUGUST 16, 2021

A typical machine learning project involves data collection, data cleaning, data transformation, feature extraction, model evaluation approaches to find the best model fitting and hyper tuning parameters for efficiency. Companies commonly use it to infer social media reviews, customer response and brand reputation.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

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. In this data engineering project, you will apply data mining concepts to mine bitcoin using the freely available relative data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

AUGUST 11, 2022

When it comes to the analysis and processing of data, Data Scientists are distinguished from data engineers at each step of the way. These methods create valuable data and capture insight revealed from the data, for example, categorisation, data mining, clustering, and data modelling.

Data Science 40

Data Science Data Cleanse Unstructured Data Machine Learning 40

Knowledge Hut

DECEMBER 26, 2023

This big data book for beginners covers the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

AltexSoft

MAY 12, 2023

Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc. Social media posts.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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. Spark has a Streaming tool that can process real-time streaming data.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

MARCH 14, 2014

Organizations across the world are excited about big data and customer analytics not just because the data are big but the potential for companies using big data is huge. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! How big data helps businesses?

Hadoop 40

Hadoop Big Data Data Mining Retail 40