Data Science-Machine Learning-Deep Learning-Artificial Intelligence
There are 2.5 quintillion bytes of data created each day past 2 years alone 90 percent of data was generated. These data come from many sources Social networking site, E-commerce site, weather station, Telecom Company and Share market, etc
For handling such a huge amount of data William.s has introduced the concept of Data Science.
Data Science is the compound of mathematics, problem-solving, capturing, and Analysing data insights. It is not only for handling data and also make use of those data by offering you tailored content – like giving you more relevant search results and ads, etc. Big data- The traditional business tools can't handle this large voluminous amount of data so Big Data instigated to extract the information and dealing with the complex data(Data which is in massive size is named Big Data). Storing an enormous amount of unstructured data was an issue. There are so many technologies are used to collect, analyze, store that huge size of data. The most popular tools are SAS, Apache Spark, Tableau, BigMl, Jupyter, Matplotlib, etc.
Machine Learning is a process of teaching the computer system for making accurate predictions when data feed. Its an application of Artificial Intelligence(AI) that provides systems to automatically learn and improve from experience without being explicitly programmed and no sort of human intervention or assistance and adjust actions accordingly. The prediction of a machine can be a person who is crossing the road in front of a self-driving car.k
Deep Learning is the next evolution and subset of Machine learning. The process behind deep learning works like the human brain works to identify patterns and classify various types of data(which includes speech recognition, Pattern Recognition, Natural Language processing, and large data sets). Neural networks are a series of algorithms modeled after the human brain. when our brain tries to store any new data it tries to compare with the item which already exits that makes sense of it, the same neural networks work on more math and do more computation with hidden layer, backpropagation to provide more accuracy.
Artificial Intelligence
The intelligence of the human brain is incorporated into the machine which mimics the human cognitive functions like learning and problem-solving.
It would be high speed, accuracy, low error rate, and essentially incredible precision when compared with humans. These techniques can be used to identify fraudulent transactions, credit scoring, etc. It is not a stand-alone concept which is a combination of machine learning and deep learning which is comprised of many algorithms, math, and computation to create the automated string intelligent machine.
Data Science is the compound of mathematics, problem-solving, capturing, and Analysing data insights. It is not only for handling data and also make use of those data by offering you tailored content – like giving you more relevant search results and ads, etc. Big data- The traditional business tools can't handle this large voluminous amount of data so Big Data instigated to extract the information and dealing with the complex data(Data which is in massive size is named Big Data). Storing an enormous amount of unstructured data was an issue. There are so many technologies are used to collect, analyze, store that huge size of data. The most popular tools are SAS, Apache Spark, Tableau, BigMl, Jupyter, Matplotlib, etc.
Machine Learning is a process of teaching the computer system for making accurate predictions when data feed. Its an application of Artificial Intelligence(AI) that provides systems to automatically learn and improve from experience without being explicitly programmed and no sort of human intervention or assistance and adjust actions accordingly. The prediction of a machine can be a person who is crossing the road in front of a self-driving car.k
Deep Learning is the next evolution and subset of Machine learning. The process behind deep learning works like the human brain works to identify patterns and classify various types of data(which includes speech recognition, Pattern Recognition, Natural Language processing, and large data sets). Neural networks are a series of algorithms modeled after the human brain. when our brain tries to store any new data it tries to compare with the item which already exits that makes sense of it, the same neural networks work on more math and do more computation with hidden layer, backpropagation to provide more accuracy.
Artificial Intelligence
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