4. THERE ARE 4 TYPES OF MACHINE
LEARNING TECHNOLOGYS:
1) SUPERVISED
2) UNSUPERVISED
3) SEMI- SUPERVISED
4) REIN FORCE MENT LEARING
5.
6. 1) SUPERVISED:
It is a subcategory of machine learning and artificial intelligence.
2) UNSUPERVISED:
1) machine learning is efficient in pattern finding.
. 2) machine learning work is automated and does not require human
intervation.
3) SEMI-SUPERVISED:
1) It is a combination of supervised and unsupervised learning.
. 2) It uses a small amount of labelled data and a large amount of
unlabelled data.
4) REIN- FORCE MENT:
A subset of ML that allows an AL driven system ( sometimes referred to as an agent).
9. Advantages and disadvantages of
machine learning technology
.
.
.
.
.
▶ ADVANTAGES:
1) MACHINE LEARNING is efficient in pattern finding
2)MACHINE LEARNING is automated and does not require human
intervention
3) MACHINE LEARNING algorithms are even evolving.
4)wide application
5) MACHINES allows us to do many things quicker or with less
effort
6) cost reduction
10. ▶
▶ .
▶ .
7) cost reduction
8)Improved accuracy
9) Data dependency.
▶
▶
▶ DISADVANTAGES:
1)It is a pretty time consuming to fix the mistakes in codes and
programs
▶ .
▶ .
▶ .
▶ .
2) only some people can memorize ( or) even write the code
3) it is platform Independent language
4) expensive to buy , maintain and repair
5) The collection and use of this data raise privacy and security concerns.
