Know the difference between Artificial intelligence, machine learning, statistics, and data mining. It helps the organization in knowing how exactly the garnered dataset will be useful to them. Statistics is one of the most fundamental fields of study in mathematics that forms the base of the study for other computer science fields like Machine learning, Artificial Intelligence, etc.
In a world full of ignorance, we must not forget to do some reality check regularly. Having proper knowledge of the topics that are a frequent trend gives us the power to determine how the world is growing. Some of the regularly misinterpreted and misunderstood terms today are Artificial Intelligence, Machine Learning, Statistics, and Data Mining. if you are searching for the best machine learning course search in Delhi. you are the right place in the best Machine Learning Course in Delhi
Not denying the fact that these topics are not completely different from each other but there exists a thin line that separates each of them. Each being closely related to the fields of mathematics and computer science, these topics are the steps towards a smarter tomorrow we’ve been waiting for. Data mining, machine learning, artificial intelligence, and statistics are all inter-related studies that are inspired by each other. The difference arises in their application as well as a way of using each of them. In order to understand the difference between them, we should first look into what each of them actually is.
As the name suggests, Data mining is involved with an in-depth analysis of huge datasets that are available to find relations and patterns. The field of Data mining is most prevalent in business analytics sectors, stock markets, for improving sales, developing strategies, etc. It helps the organization in knowing how exactly the garnered dataset will be useful to them. One of the major advantages of data mining is that it understands which set of data is useful and relevant, and further work on that to make the required task a success. Retail, manufacturing, education, banking sectors are all using data mining today to boost their business models and produce better outcomes.
Statistics is one of the most fundamental fields of study in mathematics that forms the base of the study for other computer science fields like Machine learning, Artificial Intelligence, etc. This field of math is involved with an experimental set of data as well as real-world data, and it finds out ways to study both of them by using different measures like mean, variance, correlation coefficient, skewness, distribution, testing, etc. Statistics is the heart of any business model. No model can be created without making use of statistics as it helps to analyze and structure required as well as the available information.
Machine Learning is one step higher in the department of computer science and works around teaching machines how to give outputs based on the previous input that was fed to it. Machines don’t learn but memorize with experience. They’re trained with an algorithm on a training set. The model is then evaluated with evaluation metrics and checked for accuracy. It is then tested on a testing dataset or an unknown dataset to check if the model works properly. This is how a machine learns and applies whatever it has learned on unknown datasets. A number of algorithms are used in machines based on the required problem statement. These algorithms are
highly classified into 3 sections, Supervised Learning, Unsupervised Learning, and Reinforcement Learning.
The topmost layer after Deep Learning and Machine Learning is Artificial Intelligence. Artificial intelligence is the more complex version of Machine Learning involved with building such technologies that have the capacity and capability of performing such computations that require human intelligence. Simply speaking, it builds machines that work like humans. This field is literally changing the world. It has and is still making an impact in almost every sector of the world. This field is currently being used mostly in facial recognition systems, speech recognition systems, security systems, gaming, agriculture, etc.
Difference between Machine Learning, Artificial Intelligence, Data Mining and Statistics
Since we now know what each of these fields means, we can delve deeper into knowing what the difference between all of these is. Statistics is the field of study related to mathematics while the rest of them belongs to Computer Science. Even though statistics is not a computer science field, it still forms the base of study for any statistical field here. Machine learning, data mining and artificial intelligence are all based on statistics. The main aim of these fields is to find a relation between different datasets and models given to them which is the fundamental of statistics. The statistical measures help us in understanding any model correctly.
The difference between the remaining three fields, Machine learning, artificial intelligence, and data mining is closely related. They are arranged as follows:
Data Mining <= Machine Learning <= Artificial Intelligence
Data mining will always be the base as it is related to the preprocessing of datasets that will be used for building models in machine learning and Artificial intelligence. Hence, data mining revolves around playing with big data and looking out for relations or patterns among them, doing research in related fields, etc. Machine Learning and Artificial intelligence though seem to be similar are actually very different techniques. While Machine learning means making the machine learn how to execute similar tasks based on previous experience, Artificial intelligence deals with creating a simulation of human behavior.
Machines are not learners, they are memorizers. They are fed an input, an algorithm, and a testing set. They memorize what they are supposed to do in case of such datasets and they perform. In the case of Artificial intelligence, machines are still memorizing and using machine learning techniques but on a higher note, and are making advancement. These machines are now behaving like humans. Artificial intelligence lies on top of the 3 layered diagrams consisting of deep learning, machine learning and AI itself. PythonTraining.net’s Machine Learning course in Delhi will simply help you gain expertise in machine learning, a kind of AI that automates big data analysis to adapt and learn with experience to perform certain tasks without complete programming.
This is exactly how these topics are so closely related yet so different. Today’s world and the The future is a gift of machines that are making our lives much easier and accessible.