Difference of Data Science, Machine Learning and Data Mining

@machinelearnbot

The amount of digital data that currently exists is now growing at a rapid pace. The number is doubling every two years and it is completely transforming our basic mode of existence. According to a paper from IBM, about 2.5 billion gigabytes of data had been generated on a daily basis in the year 2012. Another article from Forbes informs us that data is growing at a pace which is faster than ever. The same article suggests that by the year 2020, about 1.7 billion of new information will be developed per second for all the human inhabitants on this planet. As data is growing at a faster pace, new terms associated with processing and handling data are coming up. These include data science, data mining and machine learning. In the following section- we will give you a detailed insight on these terms.


Difference of Data Science, Machine Learning and Data Mining

#artificialintelligence

The amount of digital data that currently exists is now growing at a rapid pace. The number is doubling every two years and it is completely transforming our basic mode of existence. According to a paper from IBM, about 2.5 billion gigabytes of data had been generated on a daily basis in the year 2012. Another article from Forbes informs us that data is growing at a pace which is faster than ever. The same article suggests that by the year 2020, about 1.7 billion of new information will be developed per second for all the human inhabitants on this planet.


The Real Difference Between Data Science, Machine Learning and Data Mining

@machinelearnbot

Data is all over the place. The measure of digital data that at present exists is currently rising at a quick pace. The number is multiplying at regular intervals and it is totally changing the existence of humanity. According to a paper from IBM, around 2.5 billion gigabytes of data had been created daily in the year 2012. Another article from Forbes advises us that information is developing at a pace which is speedier than at any other time.


Data Science vs Machine Learning vs Data Mining: The Real Differences

#artificialintelligence

Data is all over the place. The measure of digital data that at present exists is currently rising at a quick pace. The number is multiplying at regular intervals and it is totally changing the existence of humanity. According to a paper from IBM, around 2.5 billion gigabytes of data had been created daily in the year 2012. Another article from Forbes advises us that information is developing at a pace which is speedier than at any other time.


ML DL AI DS BD - An Introduction

#artificialintelligence

In an image recognition application, the raw input may be a matrix of pixels; the first representational layer may abstract the pixels and encode edges; the second layer may compose and encode arrangements of edges; the third layer may encode a nose and eyes; and the fourth layer may recognize that the image contains a face. Importantly, a deep learning process can learn which features to optimally place in which level on its own.