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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Difference Between IoT and AI: Which is Better?

Knowledge Hut

As a result, employers look for candidates with the best AI certification to run automation and write algorithms. Not only individually but in conjunction with AI as one of the primary data sources used to train AI automation systems. The goal is to enable items to transmit and receive data via the Internet.

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Top 10 Data Science Websites to learn More

Knowledge Hut

A database is a structured data collection that is stored and accessed electronically. According to a database model, the organization of data is known as database design. File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets.

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Data – the Octane Accelerating Intelligent Connected Vehicles

Cloudera

Within the vehicle, current electronics and wiring infrastructures were not designed for this complex data wrangling capability. The diagram below summarizes a dynamic machine learning life cycle in which the connected vehicles ML algorithms model accuracy is continuously improved through a fully integrated machine learning lifecycle.

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Medical Datasets for Machine Learning: Aims, Types and Common Use Cases

AltexSoft

No wonder publicly available health datasets are relatively rare and attract much attention from researchers, data scientists, and companies working on medical AI solutions. Below, we’ll explore data collections the Internet has to offer and the practical tasks they help solve. Medical datasets comparison chart .

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Length of Stay in Hospital: How to Predict the Duration of Inpatient Treatment

AltexSoft

A large hospital group partnered with Intel, the world’s leading chipmaker, and Cloudera, a Big Data platform built on Apache Hadoop , to create AI mechanisms predicting a discharge date at the time of admission. The built-in algorithm learns from every case, enhancing its results over time. Data preparation for LOS prediction.

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Data Science in Pharmaceutical Industry [Use Cases + Examples]

Knowledge Hut

Data science in pharmaceutical industry is extensively used to improve its operations through applications such as predictive modeling, segmentation analysis, machine learning algorithms, visualization tools, etc., In this article, we have explained about data science in pharma, their use cases, o pportunities, and more.