Machine Learning vs Deep Learning — Where to use what?
In the technology world, where the buzzwords are now shifting from software development to data science and especially Machine Learning and Deep Learning, it becomes important for young data science aspirants to know the real difference between these two terms. Let's start with Machine Learning.
What is Machine Learning?
Machine learning is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.
Now lets deep dive into Machine Learning..
Machine learning is not a single technology, but refers to a family of related methods which are utilized in the development of several industry-specific machine-learning algorithms.
Machine learning plays an important role in the field of artificial intelligence. Machine learning can be broadly categorised into supervised and unsupervised machine learning.
SciKit Learn (Open Source Machine Learning Framework) has evolved into a popular open source machine learning library for Python by SciPy community. It supports supervised as well as unsupervised algorithms among the major flavors of ML. SciKit Learn provides extensive tools for high-performance implementation and deployment of…
