Knowledge Hut

JUNE 26, 2023

Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? As part of similar research, Felipe Hoffa analysed gigabytes of data spread over many publications from Google's BigQuery data collection. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

U-Next

MARCH 15, 2023

Data Analytics for Gaining Insights The operational, strategic, and tactical decision-making processes heavily depend on information. However, the calculation and data collection within businesses is increasing swiftly. Smart Agents Online group purchasing is popular with consumers.

Management 52

Management Manufacturing Machine Learning Electronics 52

ProjectPro

NOVEMBER 18, 2021

Data science has been a trending buzzword in recent times. With wide applications in various sectors like healthcare, education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there.

Data Science 52

Data Science Project Food Pharmaceutical 52

Confluent

JUNE 13, 2019

You might think that data collection in astronomy consists of a lone astronomer pointing a telescope at a single object in a static sky. While that may be true in some cases (I collected the data for my Ph.D. thesis this way), the field of astronomy is rapidly changing into a data-intensive science with real-time needs.

Kafka 101

Kafka Bytes Data Pipeline Python 101

U-Next

AUGUST 26, 2022

Companies may use Data Analytics to evaluate their data (historic, genuine, unorganized, subjective), find connections, and provide insight that can guide and, in some circumstances, automate choices, bridging knowledge and actions. Data Analytics Illustration. Data Analytics Illustration. Predictive Analytics.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

Edureka

FEBRUARY 16, 2023

This data can come from various sources, including government reports, trade publications, company earnings reports and surveys of consumers’ buying habits. These systems also allow companies to simulate different scenarios to optimise production levels across multiple locations. Read More: What is Supply Chain Visibility?

Transportation 52

Transportation Government Big Data Certification 52

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

ProjectPro

APRIL 17, 2015

Last year when Twitter and IBM announced their partnership it seemed an unlikely pairing, but the recent big data news on New York Times about this partnership took a leap forward with IBM’s Watson all set to mine Tweets for sentiments. This is likely to bring about novel trends in big data analytics.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

AltexSoft

DECEMBER 21, 2021

Computer systems have limited capabilities without human guidance, and data labeling is the way to teach them to become “smart.” ” In this article, you will find out what data labeling is, how it works, which data labeling types exist, and what best practices to follow to make this process smooth as glass.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

Confluent

FEBRUARY 6, 2019

After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 106

Machine Learning Python Kafka Java 106

Knowledge Hut

DECEMBER 27, 2023

The Operation Executive creates plans for simplifying the process and systems helping Primary Business operations. They are responsible for coordinating with production, warehouse, distribution and transportation. It is machine learning to derive useful information and insight into the data, which comes with a huge pattern.

Banking 52

Banking Recruitment Finance Portfolio 52

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