Remove Data Collection Remove Machine Learning Remove Medical
article thumbnail

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

AltexSoft

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. Medical data labeling.

Medical 52
article thumbnail

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?

Insiders

Sign Up for our Newsletter

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

article thumbnail

Pattern Recognition in Machine Learning [Basics & Examples]

Knowledge Hut

This can be done by finding regularities in the data, such as correlations or trends, or by identifying specific features in the data. Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection. What Is Pattern Recognition?

article thumbnail

What is Machine Learning and Why It Matters: Everything You Need to Know

Knowledge Hut

Doesn’t this piece of information gives you a glimpse of the wondrous possibilities of machine learning and its potential uses? As you move across this post, you would get a comprehensive idea of various aspects that you ought to know about machine learning. What is Machine Learning and Why It Matters?

article thumbnail

Federated Learning, Machine Learning, Decentralized Data

Cloudera

Two years ago we wrote a research report about Federated Learning. You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. However, it is an important tool in the private machine learning toolkit.

article thumbnail

Machine Learning Metrics: How to Measure the Performance of a Machine Learning Model

AltexSoft

Choosing the machine learning path when developing your software is half the success. Yes, it brings automation, so widely discussed machine intelligence, and other awesome perks. So, how would you measure the success of a machine learning model? So, how would you measure the success of a machine learning model?

article thumbnail

Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

AltexSoft

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.