  Numerous strategies have been adopted in order to make the process of
learning simple, efficient and within less amount of time.. Classroom learning
is slowly replaced by E-learning and M- learning. These techniques involve the
usage of computers, smart phones and tablets for the process of learning.
Learning from the internet has become popular among the e-learners where
learner tends to rely greatly upon information provided by the World Wide Web.
However, the e-learners have to go through a huge volume of data produced by
the first tier search engine, some of which are not suited to the interest of
the user. Various strategies, namely Statistical Learning and Adaptive
Learning, have been adopted to cater to the need of the user and produce data
best suited to the interest of the user. The authors have tried to present a
comparative study of Statistical Learning and Adaptive Learning based on
certain parameters, which arise from the characteristics of the learning
process. As a consequence of the comparative study, it has been concluded that
Adaptive learning is more efficient than Statistical learning.
