can you imagine life without sleep ? after having breakfast in the morning, going for job working so hard, job stress, boss pressure, traffic headache and many more. sleep is a state of rest - an unconscious rest. when we sleep, our body recovrs from fatigue caused by the day's acitivities. after a good sleep and rest theat it fives , we become alert and active again, ready for the normal activites of the day. when we wake up in the morning, it is not always possible for us to remember what happened when we were asleep. we may remember a dream but the rest of our sleep was a kind of darkness in which nothing seems to have taken place. several thing happen to our body while we are sleepng. as we sink deeper into sleep, our muscles relax more and more. our heartbeat becomes slower. our temerature and bleed pressure go down. the ever-avtice brain alswo slows down so tha we can't thing or act consciously. but we drea. when e wake up, our temperatre and bleed pressure rise to nor
What is Supervised Machine Learning? || S upervised Machine Learning techniques and algorithms. supervised machine learning supervised machine learning is one of the method of machine learning which uses various machine learning mathematical techniques to train the machine using data which is already labeled. someone can build supervised machine learning algorithms from labeled training data to predict the same. Some of the examples of supervised machine learning systems are self-driving cars, expert systems, facial recognition programs, chatbots and robots which support future judgments. following are the mathematical techniques that are used in building supervised machine-learning algorithms. 1) Linear Regression 2) Logistic Regression 3) Decision Tree 4) Random forest 5) support vector machine Linear Regression: The linear regression technique uses a linear mathematical formula/technique to predict the dependent variable or output value.