Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. An essential component of ensuring data integrity is the accurate and appropriate analysis of research findings. Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Importance.
Benefits of Data Analysis
Data visualization is the representation of data or information in a graph, chart, or other visual format. Machine learning makes it easier to conduct analyses such as predictive analysis, which can then serve as helpful visualizations to present.
Advantages of Data visualization
Logistic regression is a supervised learning classification algorithm used to predict the probability of a target variable. The nature of target or dependent variable is dichotomous, which means there would be only two possible classes.
Logistic regression Benefits
NLP is a field in machine learning with the ability of a computer to understand, analyze, manipulate, and potentially generate human language. NLP in Real Life. Information Retrieval(Google finds relevant and similar results).
Benefits of Natural Language Processing
Deep learning is an artificial intelligence (AI) function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. … Also known as deep neural learning or deep neural network.
Benefits of Deep learning
Big data analytics can make sense of the data by uncovering trends and patterns. Machine learning can accelerate this process with the help of decision-making algorithms.
Benefits of Big data