From Machine Learning

Machine Learning K-Means

Machine Learning Algorithms Explained – K-Means Clustering

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In our series, Machine Learning Algorithms Explained, our goal is to give you a good sense of how the algorithms behind machine learning work, as well as the strengths and weaknesses of different methods. Read more

Phishing Detection

Machine Vs Attacker: Using Machine Learning for Early Phishing Detection

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Seventy percent of the damage from a phishing attack occurs within the first hour of its launch. When it comes to phishing, speedy detection and takedown are crucial in helping organizations avoid hefty losses. Read more

Random Forests

Machine Learning Algorithms Explained – Random Forests

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In our series, Machine Learning Algorithms Explained, our goal is to give you a good sense of how the algorithms behind machine learning work Read more

Decision Trees

Fraud Detection by Stacking Cost-Sensitive Decision Trees

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Easy Solutions data scientists will present their research on the use of ensembles of cost-sensitive decision trees to detect fraudulent transactions at the Data Science for Cyber Security Conference in London this week. The article below details some of the findings. Read more

Decision Trees

Machine Learning Algorithms Explained – Decision Trees

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In our new series, Machine Learning Algorithms Explained, our goal is to give you a good sense of how the algorithms behind machine learning work Read more

From Real-Time Learning to Reinforcement Learning with Asynchronous Feedback

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Online, or real-time, transactional fraud detection systems have recently created quite the buzz in the info security industry. Read more

Classifying Phishing

Classifying Phishing URLs Using Recurrent Neural Networks

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Easy Solutions data scientists, including the author of this article, will present extensive research on the use of deep neural networks to detect phishing sites. Read more

Machine Learning Explained

Machine Learning Explained

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Machine Learning Explained

 

Machine learning models are often dismissed on the grounds of lack of interpretability. There is a popular story about modern algorithms that goes as follows: Read more

Fake news and digital trust

Fake News and Digital Trust: How to Take Back Control of the Web from Cybercriminals

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Last year was an unprecedented time for cyber security and fraud with a record number of exploited vulnerabilities and high-profile breaches. Read more

Machine-Learning Misconceptions

Debunking Machine Learning Misconceptions

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Machine learning has never been more prevalent and accessible than it is today. It has managed to influence and boost several industries and markets. Read more