ProCus Learning

Machine Learning What? Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience ( training data ) without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. Mathematically, Learning a target function (f) that best maps  input  variables (X) to an  output  variable (Y). Y = f(X) This is a general  learning  task where we would like to make predictions in the future (Y) given new examples of  input  variables (X). Why? It can be used for the classification of disease in the plant/human body, predicting the wear/tear of the machine, predicting the failure, optimizing power and area on chip based on routing recommendation, and so on.  Internet of Things (IoT) What? Internet means any network wired/wireless (e.g. Wi-Fi, Bluetooth, access points)...

  At first, Let us understand the machine learning definition: Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience ( training data ) without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. In the above definition - Data is the most important element. A machine learning algorithm/model can't be developed without Data . In healthcare - Data could be Diagnostic images that help view inside the body to help figure out the causes of an illness or injury and confirm a diagnosis. The Source of the Diagnostic images is the Diagnostic X-ray Devices . Now, let’s understand the traditional approach to programming. For example, we used to write a simple program to find the average of the number, then input a series of data, and it prints the output data. So, basically, we had...