Machine  Learning  for  DevelopersDanilo  Poccia,  Technical  Evangelist

         @danilop

Batch

Report

Real-time

Alerts

Prediction

Forecast

Predictions

Data Predictions

ModelData Predictions

ModelData

BatchPredictions

Real-timePredictions

Machine Learning

SupervisedLearning

Machine Learning

UnsupervisedLearning

The task of inferringa model

from labeledtraining data

The task of inferringa model

to describehidden structure

from unlabeled data

ClusteringUnsuperv

ised

Learning

ClusteringUnsuperv

ised

Learning

ClusteringUnsuperv

ised

Learning

Regression

Binary Classification

Multi-class Classification

Supervise

d

Learning

Validation

Supervise

d

Learning

Training from Labeled DataSuperv

ised

Learning

Training

Validation

70%

30%

Cross-ValidationSuperv

ised

Learning

Be Careful of OverfittingSuperv

ised

Learning

Be Careful of OverfittingSuperv

ised

Learning

Be Careful of OverfittingSuperv

ised

Learning

Better ModelSuperv

ised

Learning

Better ModelSuperv

ised

Learning

Adding a Test PhaseSuperv

ised

Learning

Training

Validation

Test

60%

20%

20%

?Data Model

Data Model

Resilient Distributed Datasets (RDDs)

Memory

Fast Processing

Large Quantity of Data

Disk

Hadoop

MapReduce

Spark

?

Amazon EMRwith Spark (MLib)

Data Model

<demo>...

</demo>

Amazon EMRwith Spark (MLib)

Data Model

Data Scientists“Scalability”

AmazonMachine Learning

(Amazon ML)

Data Model

Machine learning is the technology that automatically finds patterns in your data and uses them to make

predictions for new data points as they become available

Your Data + Machine Learning= Smart Applications

What is Machine Learning?

AmazonMachine Learning

(Amazon ML)

Machine learning (ML) can help you use historical data to make better business decisions.

ML algorithms discover patterns in data and construct predictive models using these patterns. Then, you can use the models to make predictions

on future data.

What is Machine Learning?

AmazonMachine Learning

(Amazon ML)

Integrated with AWS Services for Easy Data Access (Amazon S3, Amazon Redshift, Amazon RDS)

Data visualization and exploration

Model Evaluation and Interpretation Tools

Binary Attributes (Binary Classification) Categorical Attributes (Multi-class Classification)

Numeric Attributes (Regression)

Key Features

AmazonMachine Learning

(Amazon ML)

Data Transformations

Modeling APIs

APIs for Batch and Real-time Predictions

Fully Managed

Pay per Use

Key Features

AmazonMachine Learning

(Amazon ML)

AmazonMachine Learning

(Amazon ML)

Data Model

AmazonMachine Learning

(Amazon ML)

Data Model

BatchPredictions

AmazonMachine Learning

(Amazon ML)

Data Model

BatchPredictions

Real-timePredictions

<demo>...

</demo>

AmazonMachine Learning

(Amazon ML)

Data Model

BatchPredictions

Real-timePredictions

Choose Where to Spend Your Time

Pay Only For What You Use

Danilo  PocciaTechnical  Evangelit          @danilop