TY  - JOUR
TI  - Machine Learning Techniques in IoT
AU  - Rohini Raina
AU  -  Dr. Naveen Kumar Gondhi
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/04/25
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT411819
VL  - 4
IS  - 1
SP  - 117	
EP  - 121
AB  - Internet of Things (IoT) is expanding expeditiously in different fields but has a tremendous implementation in the branch of savants and commence. Machine learning can also help machines; indulge them collectively to acknowledge them what people want from the data made by Homo sapiens. In addition, machine learning has an important role in IoT facet to hold the large extent of data generated by the machines. Machine learning gives internet of things and those machines a mind to think, which is called "encapsulated intelligence" by some researchers. This paper will mainly focus on machine learning intelligent algorithms like artificial immune system algorithm Bayesian theorem, Genetic algorithm (GA), Swarm algorithm (SA), algorithm, Bayesian theorem, Reinforcement algorithm, Ant colony algorithm, k-means algorithm and supportive vector machine algorithm and their role  in internet of things.