Designing Intelligence with Brains

We all Know that Computers & Mobile devices getting smarter and smarter day by day, but these all are hardware. They are doing so with the help of NPU(Neural Processing Unit)  & Quantum Computing(which is in premature state right now). Apart from these two all the magic of AI & ML comes from software side like predicting Search Results whenever you start typing, predicting physical objects, predicting Human mood by analyzing facial pattern. These all are very fascinating and out of the world things which was only imagination 20-30 years before & now we use them on daily basis. So here is two popular & widely used algorithm. Supervised Learning:- Supervised learning is an approach to Machine Learning that is based on training data that includes expected answers. An Artificial Intelligence uses the data to build general models that map the data to the correct answer. Supervised learning is where you have input variables (x) and an output variable (Y) and you

Linear Regression is one of the best & popular algorithms in Machine Learning for predicting the output of situations before it even occurred. To understand Linear Regression first we have to understand what is Regression problem? What is Regression Problem? Problems occurred in predicting real-valued-output for different-different inputs is called Regression problem. Linear Regression Linear regression is Linear model. i.e, models that assume a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x). When there is a single input variable (x), the method is referred to as simple linear regression. When there are multiple input variables, literature from statistics often refers to the method as multiple linear regression. Different techniques can be used to prepare or train the linear regression equation from data, the most common of

Stanford University researchers have shown that a machine learning model can identify heart arrhythmias from electrocardiogram(ECG) better than an expert doctor. The automated approach is also significant because it could not make a quality care readily accessible in areas where resources are scares. So, first thing to know what is Heart arrythmias? HEART ARRHYTHMIAS Heart arrhythmias is a group of conditions in which heart beat is irregular, too fast or too slow. A heart rate that is too fast- 100 beats minute in adult is called Tachycardia & a heart rate that is too slow- below 60 beats per minute is called Bradycardia. Cardiac arrhythmia occurs when electrical impulses in the heart don't work properly. There may be no symptoms. Alternatively, symptoms may include a fluttering in the chest, chest pain, fainting or dizziness. It may feel like a fluttering or racing heart & may be harmless. However, some heart arrhythmias may cause bothersome- sometimes ev