Data Mining, Data Visualization and Support Vector Machines

Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning

Machine Learning Machine Learning Data Science Big Data

Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Data analysis and interpretation The next step is to examine the extracted patterns, trends and insights to develop meaningful conclusions.

Machine Learning

Machine Learning Machine Learning Data Mining Data Mining

[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

MAY 23, 2023

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

Data Science

Data Science Decision Trees Machine Learning Machine Learning

Data Science Current

Data science vs. machine learning: What’s the difference?

Leveraging user-generated social media content with text-mining examples

[Updated] 100+ Top Data Science Interview Questions

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