Slides from Midwest Dreamin 17

1. MACHINE LEARNING WITH SALESFORCE
DATA USING PREDICTIONIO
#MWD17

2. Mohith Shrivastava
Salesforce MVP ,Technical Architect at CodeScience
CodeScience INC
@msrivastav13
#MWD17

3. But first, thank you to our sponsors!
PLATINUM
GOLD

4. Agenda
• What is Machine Learning ?
• Machine Learning In Salesforce Application
• Introduction To PredictionIO
• Installation and Setup
• PredictionIO Templates
• Demo Of Similar Product Engine

5. What is Machine Learning?
#MWD17

6. Machine Learning In Salesforce Applications
1. Take advantage of existing data to do lead scoring ,
opportunity predictions,Account Insights
1. Build Recommendation Engine on Salesforce
communities
1. Text Classification,spam detection , Sentimental
Analysis
#MWD17

7. Introduction To PredictionIO
PredictionIO is an open source Machine Learning
Server that enables developers to build and deploy
predictive services for various machine learning
tasks
#MWD17

8. PredictionIO Architecture

9. Installation and Setup
Download the predictionIO binary from apache
and unzip it
You will need Scala , Spark , POSTGRES or
Hadoop HDFS
#MWD17

10. PredictionIO Templates
1. E-Commerce Recommendation,Similar Product
1. Text Classification,Lead Scoring,Sentimental Analysis
1. NLP and Deep Learning Templates
#MWD17

11. Similar Product Engine Demonstration
Implements Collaborative filtering called ALS
algorithm
#MWD17

12. Customize DASE Model
#MWD17

13. PIO Commands Cheat Sheet
Prediction Engine
Command
Description
pio app new
<newappname>
Creates PredictionIO
application
pio app list This lists all of the apps
created in its corresponding
ID and Access Key
pio build This builds an engine
pio train This trains the engine
pio deploy This deploys the engine

14. www.pepuptech.org
PepUp Tech.org is a non-profit dedicated to enabling community-based organizations to offer computer
science and technology programs to underrepresented people. Our goal is to inspire individuals to learn
about computer science and technology, gain access to people and careers in these industries and ultimately
give back to their communities. Our three priority areas are as follows:
● To empower Community Based Organizations
● To empower the Tech Community
● To empower Underrepresented people to gain access to computer science
in the Tech industry

15. References
https://github.com/jamesward/pio-eventserver-heroku
https://github.com/jamesward/pio-engine-heroku
https://github.com/PacktPublishing/Learning-Salesforce-
Einstein/tree/master/Chapter04/PIOLightningComponents

16. questions
Mohith Shrivastava
@msrivastav13