Open AccessMachine Learning - Learning Techniques, CNN, Languages and APIs
Author(s) -
Krishna Kumar Joshi,
N.V. Joshi,
Ravi Ray Chaudhari
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2062164
Subject(s) - artificial intelligence , computer science , machine learning , field (mathematics) , robot learning , instance based learning , unsupervised learning , hyper heuristic , active learning (machine learning) , convolutional neural network , learning classifier system , algorithmic learning theory , computational learning theory , deep learning , artificial neural network , robot , mathematics , pure mathematics , mobile robot
Nowadays, Artificial intelligence is an important part in everyone's life. It can be derived in two categories named as Machine learning and deep learning. Machine learning is the emerging field of the current era. With the help of the machine learning, we can develop the computers in such a way so that they can learn themselves. There are various types of leaning algorithms used for machine learning. With the help of these algorithms, machines can learn various things and they can behave almost like the human beings. Nowadays, the role of the machine is not limited in some defined fields only; it is playing an important role in almost every field such as education, entertainment, medical diagnosis etc. In this research paper, the basics about machine learning is discussed we have discussed about various learning techniques such as supervised learning, unsupervised learning and reinforcement learning in detail. A small portion is also used to cover some basics about the Convolutional Neural Networks (CNN). Some information about the various languages and APIs, designed and mostly used for Machine Learning and its applications are also provided in this paper.