U-Next

FEBRUARY 26, 2023

with the help of Data Science. Data Science is a broad term that encompasses many different disciplines, such as Machine Learning, Artificial Intelligence (AI), Data Visualization, Data Mining, etc. Many types of Data Scientists with different specialties can help your business get the necessary solutions.

Data Science 98

Data Science Machine Learning Consulting Data Mining 98

AltexSoft

JULY 27, 2021

By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Knowledge Hut

APRIL 26, 2024

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.

Data Science 52

Data Science Machine Learning Hadoop Algorithm 52

ProjectPro

MARCH 14, 2014

3 LinkedIn Social site 2X4 and 2X6 cores – 6X2TB SATA 4100 nodes LinkedIn's data flows through Hadoop clusters.User activity, server metrics, images,transaction logs stored in HDFS are used by data analysts for business analytics like discovering people you may know. Job site 15 nodes Runs Machine learning Algorithms 44 CDU now!

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

MAY 23, 2015

Inkiru's predictive technology platform pulls data from diverse sources and helps Walmart improve personalization through data analytics. How Walmart uses Big Data? Walmart has a broad big data ecosystem. Walmart uses data mining to discover patterns in point of sales data.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Knowledge Hut

MARCH 27, 2024

Big data tools are used to perform predictive modeling, statistical algorithms and even what-if analyses. Some important big data processing platforms are: Microsoft Azure. Why Is Big Data Analytics Important? Data can be processed for the application of big data analysis over the cloud and segregated using Xplenty.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

U-Next

AUGUST 3, 2022

An Introduction to A Data Scientist’s Roles and Responsibilities. The Big Data age in the data domain has begun as businesses cope with petabyte and exabyte-sized amounts of data. Up until 2010, it was extremely difficult for companies to store data. What is a Data Scientist?

Data Science 52

Data Science Computer Science Retail Entertainment 52