Remove Data Analysis Remove Data Mining Remove Programming
article thumbnail

Top 5 Data Mining Techniques

Precisely

Each of the following data mining techniques cater to a different business problem and provides a different insight. Knowing the type of business problem that you’re trying to solve will determine the type of data mining technique that will yield the best results. It is highly recommended in the retail industry analysis.

article thumbnail

Generative AI and Its Role in Innovation for Telecom Services

RandomTrees

Understanding Generative AI Generative AI describes an integrated group of algorithms that are capable of generating content such as: text, images or even programming code, by providing such orders directly. This article will focus on explaining the contributions of generative AI in the future of telecommunications services.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes.

article thumbnail

Best TCS Data Analyst Interview Questions and Answers for 2023

U-Next

Moreover, data visualization highlights trends and outliers in an easier-to-understand format. 10 TCS Intermediate Interview Questions Listed below are some of the intermediate-level TCS Data Analyst interview questions : What is data mining? Define what Root Cause Analysis is?

article thumbnail

Latest Computer Science Research Topics for 2024

Knowledge Hut

Big Data Analytics in the Industrial Internet of Things 4. Data Mining 12. You will discover how computers learn several actions without explicit programming and see how they perform beyond their current capabilities. However, to understand better, having some basic programming knowledge always helps. Robotics 1.

article thumbnail

What Is KDD Process In Data Mining and Its Steps?

U-Next

The KDD process in data mining is used in business in the following ways to make better managerial decisions: . Data summarization by automatic means . Analyzing raw data to discover patterns. . This article will briefly discuss the KDD process in data mining and the KDD process steps. . What is KDD?

article thumbnail

Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

Data Science initiatives from an operational standpoint help organizations optimize various aspects of their business, such as supply chain management , inventory segregation, and management, demand forecasting, etc. A data analyst would be a professional who will be able to accomplish all the tasks mentioned in the process of data analysis.