Amazon Machine Learning is a service that allows to develop predictive applications by using algorithms, mathematical models based on the user’s data.

Amazon Machine Learning reads data through Amazon S3, Redshift and RDS, then visualizes the data through the AWS Management Console and the Amazon Machine Learning API. This data can be imported or exported to other AWS services via S3 buckets.

It uses “industry-standard logistic regression” algorithm to generate models.

Types of Tasks Performed by Amazon Machine Learning

Three different types of tasks can be performed by Amazon Machine learning service −

A binary classification model can predict one of the two possible results, i.e. either yes or no.
A multi-class classification model can predict multiple conditions. For example, it can track a customer’s online orders.
A regression model results in an exact value. Regression models can predict the best-selling price for a product or the number of units that will sell.

Step 1 − Sign in to AWS account and select Machine Learning. Click the Get Started button.

1 14

Step 2 − Select Standard Setup and then click Launch.

2 13

Step 3 − In the Input data section, fill the required details and select the choice for data storage, either S3 or Redshift. Click the Verify button.

3 10

Step 4 − After S3 location verification is completed, Schema section opens. Fill the fields as per requirement and proceed to the next step.

4 9

Step 5 − In Target section, reselect the variables selected in Schema section and proceed to the next step.

5 9

Step 6 − Leave the values as default in Row ID section and proceed to the Review section. Verify the details and click the Continue button.

Following are some screenshots of Machine Learning services.

Data Set Created by Machine Learning

6 8

Summary Made by Machine Learning

7 8

Exploring Performance Using Machine Learning

8 6

Features of Amazon Machine Learning

Easy to create machine learning models − It is easy to create ML models from data stored in Amazon S3, Amazon Redshift, Amazon RDS and query these models for predictions by using Amazon ML APIs and wizards.

High performance − Amazon ML prediction APIs can be used further to generate billions of predictions for the applications. We can use them within interactive web, mobile, or desktop applications.

Cost-efficient − Pay only for what we use without any setup charges and no upfront commitments.

The following services fall under Application Services section −

Amazon CloudSearch
Amazon Simple Queue Services (SQS)
Amazon Simple Notification Services (SNS)
Amazon Simple Email Services (SES)
Amazon SWF

So, this brings us to the end of blog. This Tecklearn ‘How to use Amazon Machine Learning’ helps you with commonly asked questions if you are looking out for a job in AWS and Cloud Computing. If you wish to learn AWS and build a career in Cloud Computing domain, then check out our interactive, AWS Solutions Architect Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/aws-solutions-architect-certification-training/

AWS Solutions Architect Certification Training

About the Course

Tecklearn’s AWS Architect Certification Training is curated by industry professionals as per the industry requirements and demands. The entire AWS training course is in line with the AWS Certified Solutions Architect exam. You will learn various aspects of AWS like Elastic Cloud Compute, Simple Storage Service, Virtual Private Cloud, Aurora database service, Load Balancing, Auto Scaling and more by working on hands-on projects and case studies. You will master AWS architectural principles and services such as IAM, VPC, EC2, EBS and elevate your career to the cloud, and beyond with this AWS solutions architect course.

Why Should you take AWS Architect Certification Training?

The Average salary of an AWS Certified Solutions Architect is $129k per annum – Indeed.com
AWS market is expected to reach $236 Billion by 2020 at a CAGR of 22% – Forrester
Netflix, Twitter, LinkedIn, Facebook, BBC, Baidu, ESPN & other MNCs worldwide use Amazon AWS Cloud

What you will Learn in this Course?

Overview of Cloud Computing and AWS

What is Cloud Computing
Definition of Cloud Computing
On Premises Vs Service Models
Advantages and Disadvantages of Cloud Computing
Cloud Computing Providers
Why AWS
What is AWS
AWS Benefits
AWS Services
Traditional Vs AWS Components
AWS Global Infrastructure
AWS Availability Zone
AWS Edge Locations
How to Access the AWS Services
AWS architecture
AWS Management Console
AWS offerings Listing (EC2, VPC, AMI, EBS, ELB, Backup)

Amazon Elastic Compute Cloud (EC2)

Overview of EC2
Elastic IP Vs Public IP
Launching of AWS EC2 instance demo
How to access EC2
EC2 Purchasing Options
Amazon Machine Images (AMI)
EC2 Storage for the Root Device
EC2 Creating AMI
EC2 Instance Types
Auto Scaling
Cost of EC2
Best Practices of EC2
EC2 Resizing
Placement Groups
Amazon Backup and various Concepts
EC2 Demo
Hands On

Networking and Monitoring Services: Amazon Virtual Public Cloud

Virtual Private Cloud (VPC) and its benefits
Default and Non-Default VPC
IP Address
CIDR – Classless Inter-domain Routing
Subnet: Subnet Mask and Subnet Mask Classes
Private and Public Subnet
IPv4 v/s IPv6 – As in AWS Infrastructure
Internet Gateway and Route Tables
Security Group with VPC
Access Control List, NACL and Security Group
NAT Devices: NAT Gateway and NAT Instance
Flow Logs
VPC Peering and its working
VPN and Direct Connect
VPC Limitations
Need for Monitoring Services
AWS CloudWatch and it’s working
AWS Command Line Interface
Use Cases
Hands On

Amazon Storage Services: Elastic Block Storage

What is Storage Services
What is Elastic Block Storage (EBS)
Persistent Storage
EBC Features
EBS Benefits
EBS Types
EBS Pricing
EBS Life Cycle
EBS Snapshot
EBS General Purposed SSD
EBS Provisioned IOPS SSD
EBS Throughput Optimized HDD
EBS Cold HDD
EBS Comparison
EBS Previous Generation Volumes
EBS How Incremental Snapshots Work
EBS Deleting an Amazon EBS Snapshot
EBS Summary
Hands On

Amazon Storage Services: Simple Storage Services (S3)

What is Amazon AWS S3
Simple Storage Services (S3) Advantages
S3 Buckets, Objects, Keys and Endpoints
S3 Data Consistency Model
S3 Transfer Acceleration
S3 Storage Types
S3 Versioning
S3 Life Cycle Management
S3 Data Protection
S3 Cross-Region Replication
S3 Hosting a Static Website
Hands On

Amazon Storage Services

Amazon Glacier Storage
Amazon Storage Gateway
Amazon Snowball (Data Import /Export)
Billing with Amazon CloudWatch
Hands On

AWS Database Services: Relational Database Service (RDS)

Overview of Databases and Relational Database Service (RDS)
What is Amazon RDS
AWS RDS Components
AWS RDS: Interface
AWS RDS: Charges
AWS RDS Multi-AZ: Benefits
AWS RDS Multi-AZ: Failover Process
NoSQL Database: Amazon DynamoDB
Overview of DynamoDB
DynamoDB Benefits
Hands On

AWS Database Services Continued

Data Warehouse: Amazon Redshift
Overview of Amazon Redshift
Redshift Architecture
Amazon Redshift features
In Memory Cache: Amazon ElasticCache
Redis Vs MemCache
Amazon ElasticCache Cluster
Database Migration: AWS Database Migration Service

Load Balancing in AWS

What is Fault Tolerant System
Features of Elastic Load Balancing
What is AWS ELB (Elastic Load Balancer)
Types of Load Balancer: Classic, Application and Network
Classic Load Balancer: Features, Health Check Configuration, Cross-Zone, Connection Draining, Sticky Sessions, Access Logs, Limitation
Application Load Balancer: Features, Application Flow, Limitation
Network Load Balancer
Access Elastic Load Balancing: AWS Management Console, AWS CLI, AWS SDKs, HTTPS Query API

Amazon Route 53

What is Amazon Route 53
Domain Name Registration
Routing Internet Traffic to Resources
Automated check of the health of Resources + Data Pipeline

AWS Identity and Access Management (IAM) – Control user access

Authentication (Who can use) and Authorization (Level of Access)
IAM Policies – JSON Structure
Users, Groups and their Roles
AWS IAM Features
User Sign-in to Account
Switch Role
Role to EC2 Instance
Password Policy
How to Access AWS
Multi-Factor Authentication (MFA)
Permissions and Permission Types
Policies Structure
User Based Policies
Resource Based Policies
Resource Based Permission
Policies Types
Request Flow
Limitations
IAM HTTPS API
Logging IAM Events with AWS CloudTail
Hands On

Amazon CloudWatch

What is Amazon CloudWatch
Features and Benefits
CloudWatch Architecture
Hands On

AWS Auto Scaling

What is AWS Auto Scaling
Auto Scaling Components
Auto Scaling Group
Auto Scaling Launch Configuration
Auto Scaling Benefits
Auto Scaling Lifecycle
Auto Scaling Plans
Manual Scaling
Schedule Scaling
Dynamic Scaling
Auto Scaling Step Adjustment
Auto Scaling Termination Policy
Default Termination Policy
Health Check
Hands On

Amazon Application Services

Elastic BeanStalk
Simple Email Services (SES)
Simple Queue Service (SQS)
Simple Notification Services (SNS)
AWS Lambda
Introduction to Elastic OpWorks
Hands On

About AWS Solution Architect Associate Exam

Got a question for us? Please mention it in the comments section and we will get back to you.

547