.
Machine Learning for Data Analysis
Machine Learning for Data Analysis
- It is a sub set of computer science
- It handles recognition of pattern, speech, analytics of text, computer vision
- It has a sound relation with mathematical and statistical optimization
- It applications are search engine development, character recognition, spam filtering etc.,
- It is classified into 2 forms. They are
- Supervised and Unsupervised Learning
Supervised Learning
- It denotes a problem category where input data is termed as X matrx and identify the response y
- Forecasting the chance of web clients to tick on ads through demographic character as predictors
- It is termed as CTR(click through Rate) and the y is click, non click
- The forecasters are employed IP address along with other details
X= x1,x2,x3, ... xn and the 2 values of y are c1, c2
e.g.
Unsupervised Learning
- It handles the trouble of locating set which are identical to each other
- It has various approaches to the job of knowing a map from forecasters to locating set which carve up identical variables in every set and are divergent with one another
Example Application
- Customer segmentation
- Based on the utilization of cell phones , the general task is made on fragmenting the users of telecom industry
- It aids the sales and marketing division to aim every group with various product
e.g.
⯈Machine Learning Course Help
.
