Introduction: Machine Learning is a vast area of Computer Science that is concerned with designing algorithms which form good models of the world around us (the… Read More »Naive Bayes Classification explained with Python code
The world of business and customer service has changed immensely over the past few years. Whereas once business was largely driven by outbound marketing and… Read More »How to Discover Hidden Value in Your Customer Journey
(picture from www.re-work.co) Most people keep close eyes on the top of the fast-moving technology trends. There’s no doubt that deep learning is most trending… Read More »The Best Answers to Your Most Crucial Deep Learning Questions
It’s time again to share your predictions for 2017. I did my homework and came with these 10 predictions. I invite you to post your… Read More »10 Data Science, Machine Learning and IoT Predictions for 2017
The post ‘Top programming languages that will be most popular in 2017‘ was originally posted on the HackerEarth blog. Which is the most preferred programming… Read More »Top programming languages that will be most popular in 2017
Summary: The data science press is so dominated by articles on AI and Deep Learning that it has led some folks to wonder whether Deep… Read More »Has Deep Learning Made Traditional Machine Learning Irrelevant?
A popular phrase tossed around when we talk about statistical data is “there is correlation between variables”. However, many people wrongly consider this to be… Read More »Correlation does not imply causation
People change jobs, get promoted and move home. Companies go out of business, expand and relocate. Every one of these changes contributes to data decay.… Read More »Why Data Decays so Fast?
One of the most typical tasks in machine learning is classification tasks. It may seem that evaluating the effectiveness of such a model is easy.… Read More »Understanding machine learning #3: Confusion matrix – not all errors are equal
Pentesting tools like Metasploit, Burp, ExploitPack, BeEF, etc. are used by security practitioners to identify possible vulnerability points and to assess compliance with security policies. Pentesting tools come… Read More »Probabilistic Pentesting
