• How Data Science is helping Businesses

    Improving the decision-making of the company is the ultimate goal of data science. It drives decision-making in every part of this modern society By suggesting what advertisement you watch, books you read, and Music you listen to. By recommending friends on social media, and emails that are filtered to spam on your mailbox. This massive…

  • When to Choose Neural Networks over Traditional Machine Learning

    Deep learning works better than traditional machine learning algorithms in many cases. Difference between deep learning and machine learning: Machine learning (ML) is a subfield of AI that consists of imitating human intelligence and learning from an experience without being previously programmed. ML algorithms include traditional methods such as Linear Regression, Logistic Regression, Decision Tree,…

  • Cost Function and Performance Metrics in Deep Learning

    Beginners can confuse cost functions with Performance metrics. Some techniques are used When creating a deep learning model to help design the optimum neural networks architecture such as cost functions and performance/evaluation metrics. Many mistake those terms and use them interchangeably! In this article, we will explain the difference between cost functions and Performance metrics,…