Humans considered being the most intelligent species on the entire earth. Humans can perceive things, learn from it, and take necessary actions based on their previous learning. To build a powerful machine as same as humans, many researchers tried to mimic the human brain and came up with a concept called Neural Network. Although it exists for a few decades, it began to gain popularity recently due to the availability of data storage and computational power, as Neural Network needs loads of data and computational power to train the models.. [Read More]

Machine Learning… the biggest breakthrough in the computer field. When I heard this term for the first time, first I thought it's all about Robots (as machines), learning the tasks which humans do in their daily life, hence called a learning machine or machine learning. But when I put my foot in this domain, then I realized my earlier thoughts were just a bit and pieces of that domain. It is far more vast and complex than I could ever imagine.. [Read More]

Data Preparation is one of the indispensable steps in any Machine Learning development life cycle. In today’s world, the data is present in a structured as well as unstructured form. To deal with such data, data scientists spent almost 70–80% of their time in preparing data for further analysis which includes.. [Read More]

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and proprietary programming language developed by MathWorks. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.. [Read More]