Whatever one may believe, it is undeniably true that data is the one thing that drives contemporary technology. And another thing that is as important as data is Artificial Intelligence. AI provides a mechanism for harnessing and processing the data with great precision. This data in turn enables the big corporations and even governments to make smart decisions based on the mood of the people.
Data Science, machine learning and Artificial Intelligence together have enormous potential that can navigate each and every business especially the ones driven by data.
Before diving into the impact of AI/machine learning on data science…
What is Deep learning?
Deep learning is a kind of artificial intelligence function which imitates the exact working of the human brain in processing data and creating patterns used in decision making. It is basically a part of Machine Learning. Deep learning algorithms basically use such networks which are capable of learning without supervision from data that is unstructured or unlabeled.
Here’s why deep learning can make other machine learning algorithms obsolete:
How often one working in the field of data science is faced with the question, What is better for data science, Python or R?
Well, there can be no right or wrong answer to this question. Depending upon the data analytical usage and costs both serve the purpose pretty well. However, if you are still confused about which choice to make, this article will help you understand the difference between Python and R for data science. …