Knowledge Hut

NOVEMBER 19, 2023

Machine learning for business is AI-based algorithms that can perform specific tasks without the need for explicit programming. They can be trained to identify data patterns and, based on them, make predictions when a new data set arrives. Data Analysis Nowadays, businesses usually handle large amounts of data on a daily basis.

Machine Learning 52

Machine Learning Deep Learning BI Datasets 52

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Data pipelines can be automated and maintained so that consumers of the data always have reliable data to work with.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

MAY 27, 2021

As far as transportation, these can be maintenance and driver logs. The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. As a result, the relevant data is pulled out from a diversity of claims and fed into a downstream claims processing system.

Technology 64

Technology Process Insurance Medical 64

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Advanced data scientists can use supervised algorithms to predict future trends.

Big Data 52

Big Data Coding Project Hadoop 52

Knowledge Hut

JUNE 26, 2023

Using big data, we are able to transform unstructured data, such as customer reviews, into actionable insights, which enables businesses to better understand how and why customers prefer their products or services and to make improvements to their operations as quickly as is practically possible.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

APRIL 17, 2015

A recent CivSource news article highlighted the creation of a big data transit team in Toronto routing path - for big data analytics in transportation sector. As a solution to this problem, Toronto created a big data transit team for analysis of big data in the transportation services department.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

Knowledge Hut

DECEMBER 27, 2023

They are responsible for coordinating with production, warehouse, distribution and transportation. A career in Data Science Data Science is a study interrelated and disciplinary field that employs maths, science algorithms, advanced analytics, and Artificial Intelligence(AI).

Banking 52

Banking Finance Recruitment Portfolio 52

ProjectPro

JUNE 24, 2021

With more complex data, Excel allows customization of fields and functions that can make calculations based on the data in the excel spreadsheet. An approach to performing customer market basket analysis can be done using Apriori and Fp Growth data mining algorithms.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

DECEMBER 22, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

AltexSoft

JUNE 26, 2023

Data ingestion means taking data from several sources and moving it to a target system without any transformation. So it can be a part of data integration or a separate process aiming at transporting information in its initial form. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52