Welcome back to our KZfaq channel dedicated to exploring the latest digital trends and technologies!
In this episode, we dive deep into machine learning and its role in fraud detection. Throughout this series, we'll unravel the pros and cons behind different types of ML algorithms while uncovering their real-world applications across multiple industries.
Together we will find the answers to the most common questions within the topic. How can machine learning systems detect fraud? What's the best type of ML algorithm to use in a particular case? What companies have already enjoyed the advantages of ML?
Without further ado, let's start!
0:00 Introduction
0:33 Can ML systems detect fraud?
1:08 Benefits of using ML in fraud detection
1:50 ML algorithms that are used for detecting fraud
4:06 How to use ML in fraud detection?
5:24 ML fraud detection: Rental platforms
5:53 ML & video games industry
6:24 Final thoughts
Don't forget to hit the subscribe button and the notification bell to stay up-to-date with our latest content. Visit our blog to find out more about ML fraud detection:
Fraud Detection Using Machine Learning: Pros, Cons, and Use Cases
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Machine Learning in Anti-Money Laundering: Benefits, Limitations, and Applications
pixelplex.io/b...
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