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

IBM Journey to AI blog

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. What is machine learning? It requires data science tools to first clean, prepare and analyze unstructured big data.

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The Age of Health Informatics: Part 1

Heartbeat

We will examine real-life applications where health informatics has outperformed traditional methods, discuss recent advances in the field, and highlight machine learning tools such as time series analysis with ARIMA and ARTXP that are transforming health informatics. We pay our contributors, and we don't sell ads.

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

IBM Journey to AI blog

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? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results.

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How to Choose MLOps Tools: In-Depth Guide for 2024

DagsHub

Source: [link] Similarly, while building any machine learning-based product or service, training and evaluating the model on a few real-world samples does not necessarily mean the end of your responsibilities. You need to make that model available to the end users, monitor it, and retrain it for better performance if needed. What is MLOps?

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Classification vs. Clustering

Pickl AI

Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification. Certainly, these predictions and classification help in uncovering valuable insights in data mining projects. Hyperplanes are useful in separating the data points into groups.

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Text Classification Using Machine Learning Algorithm in R

Heartbeat

Because of the package’s emphasis on tidy data, it is both a user-friendly option for those new to text analysis, and a valuable tool for experienced practitioners. Data mining, text classification, and information retrieval are just a few applications. References Nagesh, Singh Chauhan.

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From prediction to prevention: Machines’ struggle to save our hearts

Dataconomy

The time has come for us to treat ML and AI algorithms as more than simple trends. Several data mining and neural network techniques have been employed to gauge the severity of heart disease but the prediction of it is a different subject.