Data Science - The Pathway for Making Artificial Intelligence an Everyday Reality
ExcelR Solutions. Data science is a relatively new field which is having a promising advancement today. Data science can bring about a huge technical revolution in today’s world. The fascinating technological marvels which we see and get dumbfounded by in movies could soon become a reality. By now, you might be wondering what data science is and how it could change the future, so here’s a brief explanation of what data science is all about.
With the help of machine learning algorithms, we can predict the outcomes of particular events in the future. To become a data scientist is not an easy task. You have to be well-versed in machine learning and advanced algorithms, exploratory data analysis and data product engineering.
ExcelR Solutions Data Scientist Course In Pune. Data science is mainly used to make predictions and decisions by utilizing the data collected from predictive casual analytics, machine learning and prescriptive analytics concepts.
Predictive casual analytics is used to predict the probability of an event occurring in the future. Predictive analysis is done by using the history of that event.
The prescriptive analysis is used to build a model that has an intelligence of its own. The model can perform logical reasoning, make its own decisions and can modify itself as it gains more and more experience.
Machine learning is used to find the hidden patterns within the given dataset by which the module can be able to make predictions with good accuracy. This is done when there are no parameters present within the module to make predictions.
Data science has its core ideology based mainly on the past and the future.
Why do we need data science?
Previously, we had data that was of definite structure and they were generally small in science, so processing of data was very easy, and analysis of these data was easily achieved by BI (business intelligence). But in recent years, the data doesn't have a definite structure. The data is either completely without a structure or has a partial structure. For processing, these unstructured data BI tools aren't sufficient at all. This data is obtained from various sources like text files, financial logs, and sensors. To process this, a very advanced and complex set of analytical tools are required, hence the need for data science which has all the necessary advanced analytical tools required for processing the unstructured data.
Another important reason for data science to become popular is its wide scope of use. It is used in various domains. It is used in marketing for selling products to customers with more efficiency. This is achieved by training a model which can recommend products to customers on its own by using the past purchase history of the customers.
By using the advanced machine learning algorithms, we can build self-driving cars that operate automatically by utilizing the live data from sensors, cameras, and radar to create an accurate map of its surroundings.
ExcelR Solutions. We can predict the weather by building a model by analyzing the data collected from aircraft, satellites, and ships. With these models, we can not only predict the weather but also natural calamities.