Jyoti Luhaniwal

 Statistics helps us understand patterns hidden inside data. One of the most important and widely used patterns in statistics is the Normal Distribution . It appears in many areas, including education, healthcare, business, science, engineering, and computer science. Understanding the normal distribution helps us describe data, compare observations, and make useful predictions. What is a Normal Distribution? A normal distribution is a type of distribution that has a characteristic bell shape curve. Many data values lie near the center, whereas few data values lie farther from the center. Take an instance where we consider the height of the students in the whole population; many of them will have heights equal to the average, whereas few of them will have either very small or very large heights. In such a scenario, when the heights are plotted on a graph, they will form a bell shape. This is an example of normally distributed data. The mean (μ) denotes the average of the val...

 Machine Learning (ML) is one of the main components of the current technological environment. ML is used in various applications such as recommendation systems, fraud detection, speech recognition, diagnostic systems, autonomous vehicles, and others. Machine learning is commonly perceived as a combination of programming, algorithms, and big data. Yet, one of the fundamental elements that enable machine learning is statistics. Statistics allows machine learning models to comprehend the nature of the data, discover patterns in it, cope with uncertainty, and make predictions. In other words, machine learning learns data, whereas statistics is helpful to interpret what machine learning learned. Understanding Data Machine learning models are as good as the data that is used in them. In the real world, data is usually incomplete, noisy, has variability, and even includes outliers. To use the machine learning algorithm for processing, it is important to know the nature of the data ...