Data Science Meets Cyber Security

“HOW TO STAY SAFE FROM THE LATEST VULNERABILITY” CHROME’S LATEST VULNERABILITY: WHAT YOU NEED TO KNOW AND HOW TO STAY PROTECTED! Ladies and gentlemen, hold onto your crypto wallets because we've got some bad news . A cyber security firm by the name of Imperva Red has recently uncovered a vulnerability that puts the data of 2.5 billion Google Chrome users at risk . You're probably saying, "But I thought my PC was unbeatable! I have antivirus software, firewalls, and a cat to protect me from hackers." Well, unfortunately for us all, cybercriminals have found a new way to steal our sensitive files and it's called 'CVE-2022-365'. I am aware that some of you may be wondering "But wait—didn't I just say that Google Chrome was the safest browser available? After all, it's obviously not Internet Explorer." As it turns out, even the most frequently used browsers have security flaws. This particular vulnerability allows attackers to provide users w...

  REGULARIZATION IN MACHINE LEARNING: A PRACTICAL GUIDE Are you tired of your machine learning models performing poorly on new data? Are you sick of seeing your model's validation accuracy skyrocket only to crash and burn on the test set? If so, it's time to learn about regularisation! Regularisation is a technique that is used to prevent overfitting in machine learning models.  LET’S GET OUR BASICS CLEAR FIRST : We’ll go through some interesting analogies and practical implementation of concepts to get things crystal clear in our head. OVERFITTING : Overfitting occurs when a model is too complex and fits the training data too well, but is not able to generalise well to new, unseen data. This can lead to poor performance on the test set or in real-world applications. LET’S UNDERSTAND IT WITH MORE BETTER ANALOGY: Imagine a child who has learned to recognize dogs by seeing pictures of only golden retrievers. When shown a picture of a different dog breed, such as a poodle, the ch...