Knowledge Hut

APRIL 19, 2023

Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. in today's data-driven world, Consolidating, processing, and making meaning of this data in order to derive insights that can guide decision-making is the difficult part.

Process 59

Process Data Mining Aggregated Data Portfolio 59

Monte Carlo

JULY 11, 2023

Data accuracy is an absolute necessity for today’s companies—and it’s becoming all the more essential as a growing volume of data flows through any given organization. In this article, we’ll highlight how to determine data accuracy, share examples of inaccurate data, and walk through common impediments to achieving more accurate data.

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

U-Next

AUGUST 11, 2022

Data Science is an interdisciplinary field that blends programming skills, domain knowledge, reasoning skills, mathematical and statistical skills to generate value from a large pool of data. The first step is capturing data, extracting it periodically, and adding it to the pipeline. Data Science salary.

Data Science 40

Data Science Data Cleanse Unstructured Data Machine Learning 40

U-Next

OCTOBER 25, 2022

What Is Data Manipulation? . In data manipulation, data is organized in a way that makes it easier to read, or that makes it more visually appealing, or that makes it more structured. Data collections can be organized alphabetically to make them easier to understand. . Why Do You Need Data Manipulation Tools?

Business Intelligence 40

Business Intelligence Raw Data Data Cleanse Data Analysis 40

U-Next

SEPTEMBER 13, 2022

item recommendation systems that suggest to users what they should buy, based on their search history also use Data Science. In addition to recommendation systems, Data Science is being used in fraud detection software to find any fraud that may be present in credit-based financial applications. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

ProjectPro

AUGUST 24, 2021

With the trending advance of IoT in every facet of life, technology has enabled us to handle a large amount of data ingested with high velocity. This big data project discusses IoT architecture with a sample use case. Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

OCTOBER 20, 2021

AutoKeras is the AutoML system that is based on Keras. Most Data Scientists know how to run python code on a Jupyter Notebook. We run the codes, do data analysis, come up with the final model result and stop there. How do machine learning systems in the real world interface with the rest of the systems in place?

Machine Learning 52

Machine Learning Algorithm Government Data Science 52