Securing the information and data using authentication has evolved immensely over time. From simple passwords to complex patterns and now in today,s digital world, with mechanisms like biometric verification, the data is sure to secure. Having said that, the skills and adaptions of fraudulent minded individuals have also increased multifold. This brings us to the question: What Next? How can the authentication mechanisms be improved? In today's world, we humans are heavily dependent on compu... read more...

In this 21st century with the development of sophisticated technology in all fields life has become easier compared to the previous decades. One such result obtained by the development of the sophisticated technology is Artificial intelligence, which we are all well familiar with, as it has been a popular focus in the movies like The Matrix, The terminator, Avengers etc. Lately we have been hearing about other terms like ''Machine Learning'' and ''Deep Learning'' ... read more...

ML is actually a lot many things. The field is quite vast and is expanding rapidly. Machine Learning is the subfield of Computer Science that gives computers the ability to learn without being explicitly programmed. (Arthur Samuel,1959) By means of algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being obviously programmed where to look. Machine learning uses that data to detect patterns in data and adjust program actions accor... read more...

My previous blog, I presented syntactical differences and similar functions between R & Python. Now, I want to take it to next level and write some machine learning algorithms using both R and Python. Here, one may use direct functions from the packages available. However, here I am presenting the way to write your own functions for algorithms. In this series, I am starting with Gradient descent algorithm. I briefly explain, what is gradient descent. After that, I apply gradient descent algo... read more...