Data Science

What is Gradient Descent? Gradient descent is an optimization algorithm. It calculates the change in the output function if we […]

As a machine learning professor or data scientist the most confusing part in there learning journey is the difference between

It is good to have coding knowledge or working experience in developing the software before jumping into the data science

“Machine intelligence is the last invention that humanity will ever need to make.” – Nick Bostrom. various Forms Of Data

Frameworks for approaching the process of machine learning are Yufeng Guo’s The 7 Steps of Machine Learning Process and section

Linear regression is a statistical approach that models the relationship between input features and output. The input features are called

Machine learning (ML)  lets computers to learn without being explicitly programmed and also it learn by experience. ML is a

Whenever we hear about machine learning, we feel very great, complicated, and perhaps  not having physical presence, conjuring up images