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Oracle Machine Learning with Oracle Cloud : An Introduction

Name: Oracle Machine Learning with Oracle Cloud : An Introduction
Rating: 3.5 (17 reviews)

Oracle Machine Learning : Explore & learn to use SQL, Python, AutoML using OML notebook on Oracle Cloud Infrastructure

Created byGuha Rajan M., B.Engg, MBA

Last updated 7/2022

English

What you'll learn

Explore, learn & become an expert in Oracle Machine learning on Oracle Cloud Infrastructure using SQL, Python, Auton ML features
Learn to use Oracle Machine Learning notebook available on Oracle Cloud Infrastructure
Learn to Provision Oracle Autonomous Database on Oracle Cloud Infrastructure.
Get an Quick Overview about Machine Learning technique.

Course content

11 sections • 32 lectures • 3h 53m total length

Topics of Course Coverage5:37
Business System - OLTP & OLAP14:51
Explore how enterprise resource planning integrates finance, purchasing, manufacturing, inventory and sales with OLTP for day-to-day transactions, and how OLAP enables business intelligence, analytics, and reporting through data consolidation.
Programming Vs Machine learning - Difference7:40
Different types of Machine Learning - Quick Overview12:35
Quiz 1

Oracle Machine Learning - Quick Overview3:27
Logging into Oracle Machine Learning7:34
Log into Oracle machine learning with the admin account, create a user, then use that account to access notebooks and prebuilt examples, exporting and re-importing notebooks as needed.
Creating Machine Learning notebook & users6:59
Export & import of ML notebook6:59
Text , Select & Check box option as input in Notebook4:42
Learn to capture runtime input in a notebook using text input, list box, dropdown, and checkbox forms. Explore selecting database objects such as tables and views by user input.

Oracle Machine Learning - User guide as reference for learning3:46
Oracle Machine Learning - Built in Python Libraries4:49
Using Python for Autonomous DB data visualization8:08
Explore using Python in the wMl notebook to work with the autonomous database, create and populate tables from a dataset, and visualize data with charts and slice‑and‑dice analysis.
Anamoly Detection - Support Vector Machine using Oracle Machine Learning - Part5:57
Explore anomaly detection with a one-class support vector machine in Oracle Machine Learning to identify rare records using database data as the truth source.
Anamoly Detection - Support Vector Machine using Oracle Machine Learning - Part13:05

Requirements

Basic Knowledge on SQL & Python would benificial
Access to Oracle Cloud Infrastructure, atleast the Oracle Cloud - always free tier.

Description

Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists by eliminating the need to move data to dedicated machine learning systems.

Its available on Oracle Autonomous Database even with Oracle Cloud - Always Free tier.

This makes learning easier too without any local install.

OML Notebooks:

Data scientists and developers develop analytical solutions through an easy-to-use, multiuser collaborative interface based on Apache Zeppelin notebook technology,

supporting interpreters for Python, SQL, and PL/SQL on Oracle Autonomous Database.

OML for SQL:

SQL and PL/SQL users leverage in-database computation for data preparation & exploration, machine learning model building, evaluation, and deployment.

Leverage scalable in-database machine learning algorithms and make predictions directly in SQL queries.

OML for Python:

Python users gain the performance and scalability of Oracle Database (on premises) and Oracle Autonomous Database for data exploration, preparation, and machine learning from

a well-integrated Python interface with support for AutoML and immediate deployment of user-defined Python functions from REST endpoints.

OML AutoML User Interface:

A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression.

The Course has following topics of coverage:

•OLTP Vs OLAP.

•Programming vs Machine Learning

•Types of Machine Learning.

•Getting Access to OCI.

•Provisioning Oracle Autonomous Database.

•Oracle Machine Learning Overview.

•Logging into Machine Learning Console, Navigation & Creation of user

•Overview about Zeppelin Notebook

•SQL based

•Data visualization.

•Machine Learning.

•Using Python in Oracle Machine learning.

•Auto ML Experiment Provisioning & Execution

•Deployment of Model.

•Job Schedule of OML note book.

Happy Learning

Who this course is for:

IT Analysts
IT Professionals
Business & Data Analysts
Business Executives

Oracle Machine Learning with Oracle Cloud : An Introduction

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 41min

Getting access to Oracle Cloud Infrastructure : Free tier2 lectures • 10min

Getting started with Oracle Cloud Infrastructure and provisioning autonomous DB.3 lectures • 25min

Getting Started with Oracle Machine Learning5 lectures • 30min

Data visualization with Oracle Machine learning - Demostration 11 lecture • 13min

Data visualization with Oracle Machine Learning - Demostration 23 lectures • 20min

Oracle Machine learning using SQL - Time series3 lectures • 21min

Oracle Machine Learning Using Python5 lectures • 36min

AutoML on OCI: Quickly and easily deploy reliable machine learning models on OCI3 lectures • 21min

Creating & Scheduling Notebook based JOB for Auto execution2 lectures • 13min

Requirements

Description

Who this course is for: