Semi-Supervised Learning in Machine Learning

Semisupervised learning: attempts to use unlabeled data as well as labeled data

The aim is to improve classification performance

Unlabeled data is often plentiful and labeling data can be expensive

Web mining: classifying web pages
Text mining: identifying names in text
Video mining: classifying people in the news
For courses on Credit risk modelling, Market Risk Analytics, Marketing Analytics, Supply chain Analytics and Data Science/ML projects contact analyticsuniversity@gmail.com

For Study Packs : http://analyticuniversity.com/
Complete Data Science Course : http://bit.ly/34Sucmb
Access All Coursera Plus courses @ $400 : https://bit.ly/2ZL51Dd
Discounted courses on Udemy (for $11): http://bit.ly/2LYU6hp
Free access to Skillshare: http://bit.ly/2thklJu

Coursera :
Data Science : http://bit.ly/37nABr6
Data Science Python : http://bit.ly/2ZK5oMm

Recommended Data Science Books on Amazon :
Python for Data Science: https://geni.us/PythonDataScience
R for Data Science : https://geni.us/DataScienceR
Machine Learning using Tensorflow: https://geni.us/MLinTensorflow
Data Science from Scratch: https://geni.us/DataSciencefromScratch
Python programming: https://geni.us/LearnPython
Artificial Inteligence: https://geni.us/LearnAI
Data Vizualization : https://geni.us/DataViz

20% discounts on below live courses : use coupon YOUTUBE20
Data Science Live Training :
AI and Tensorflow: http://bit.ly/2tOnOzA
Python : http://bit.ly/2QkH1QQ

#statistics #machinelearning #datascience