This document discusses machine learning and provides examples of its applications. It defines machine learning as a field of artificial intelligence that teaches computers by example to predict new examples automatically. Examples given include spam detection, product recommendations, and temperature prediction. The document also outlines some common machine learning terminology, tools used in machine learning like Python and R, and examples of machine learning use cases across different industries.

1. Ladle Patel
TCS R&D Innovation Labs
ladlepatelr@gmail.com
Mob:+91-9742123444

2. Machine learning Examples
Spam OR Non Spam Clustering
Recommendations Market Basket Analysis

3. What is Machine learning?
 It is a field of artificial intelligence, which is a sub-field of
computer science, in which we teach computers by
example and ask computer to predict for new example
automatically .
Ex: 1) Spam email or not spam email.
2)Product Recommendation.
3)What will be tomorrow’s temperature.

4. Types Of Machine Learning

5. Terminology
• Observations :Items or entities used for learning or evaluation
in the context of spam detection, emails.
• Features :Are attributes used to represent an observation.
Ex:In housing prices prediction ,size,area,floors etc..
• Labels :Are values or categories assigned to observations. and
again, in the context of spam detection, these can be an email
being defined as spam or not spam.
• Training and test data :Observations that we use to train and
evaluate a learning algorithm.

7. Tools Or Programing languages
 Matlab.
 Octave.
 R.
 SAS.
 SPSS.
 Python.
 etc..

8. What is the Problem ?
 Most of the traditional analytical tools runs on single
machine.

9. Example
 Spam Or Non Spam.

10. TFIDF
i work on spark hadoop
I work on spark 1 1 1 1 0
I work on hadoop 1 1 1 0 1

11. Cross Industry Standard Process for
Data Mining(CRISP-DM)

12. ML Use Cases
 Marketing
Ex:Customer segmentation, Product mix, Recommendation
 Sales
Ex:Demand forecasting
 Risk
Ex:Fraud detection
 Customer support
Ex:Call centers

13. ML Use Cases Cont..
 Healthcare
Ex:Survival analysis
 Consumer Financial
Ex:Credit card fraud
 Retail
Ex:Market Basket Analysis
 Insurance
 Manufacturing

14. Thanks