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Oracle Machine Learning with Oracle Cloud : An Introduction

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Guha Rajan M., B.Engg, MBA, PMP

3:53:16

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  • 1. Topics of Course Coverage.mp4
    05:37
  • 2. Business System - OLTP & OLAP.mp4
    14:51
  • 3. Programming Vs Machine learning - Difference.mp4
    07:40
  • 4. Different types of Machine Learning - Quick Overview.mp4
    12:35
  • 5. Quiz 1.html
  • 1. Getting access to Oracle cloud Infrastructure - Free tier - Part1.mp4
    04:42
  • 2. Getting access to Oracle cloud Infrastructure - Part 2.mp4
    05:36
  • 1. Creating OCI compartment and provisioning Autonomous Oracle DB.mp4
    10:15
  • 2. Navigation with Oracle Autonomous DB.mp4
    08:06
  • 3. Downloading DB wallet file & connecting to DB with client SQL developer.mp4
    06:35
  • 4. Quiz 2.html
  • 1. Oracle Machine Learning - Quick Overview.mp4
    03:27
  • 2. Logging into Oracle Machine Learning.mp4
    07:34
  • 3. Creating Machine Learning notebook & users.mp4
    06:59
  • 4. Export & import of ML notebook.mp4
    06:59
  • 5.1 Getting Input on ML.txt
  • 5. Text , Select & Check box option as input in Notebook.mp4
    04:42
  • 1. Data visualization with Oracle Machine learning - Demonstration 1.mp4
    12:54
  • 1.1 sql access user1-priviledge & Data visualization.txt
  • 1. Providing user priviledge to ML user to acess though SQL developer.mp4
    06:00
  • 2.1 credit scoring 100k.zip
  • 2. Table dataload directly using GUI in OCI.mp4
    06:08
  • 3. Data visualization with the uploaded Table date.mp4
    08:05
  • 4. Quiz3.html
  • 1. Oracle Machine Learning using SQL Introduction.mp4
    07:22
  • 2. Machine learning - Time series - Demonstration Part 1.mp4
    05:18
  • 3. Machine learning - Time series - Demonstration - Part 2.mp4
    08:29
  • 1. Oracle Machine Learning - User guide as reference for learning.mp4
    03:46
  • 2. Oracle Machine Learning - Built in Python Libraries.mp4
    04:49
  • 3. Using Python for Autonomous DB data visualization.mp4
    08:08
  • 4. Anamoly Detection - Support Vector Machine using Oracle Machine Learning - Part.mp4
    05:57
  • 5. Anamoly Detection - Support Vector Machine using Oracle Machine Learning - Part.mp4
    13:05
  • 1. Oracle AutoML feature An Overview.mp4
    05:34
  • 2.1 customer 360 Table Creation.txt
  • 2. Oracle Auto ML Create Experiment using AutoML.mp4
    09:54
  • 3. Oracle AutoML Deployment of Model & Creation of Notebook.mp4
    05:45
  • 4. Quiz 4.html
  • 1.1 9.1Job Scheduling notebook.txt
  • 1. Overview about JOB scheduling and creating OML notebook for demonstration.mp4
    07:05
  • 2. JOB creation and scheduling ..mp4
    05:49
  • 1. Concluding Remarks.mp4
    03:30
  • Description


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

    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.

    Who is this for?


  • IT Analysts
  • IT Professionals
  • Business & Data Analysts
  • Business Executives
  • What You Need to Know?


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


    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

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    Guha Rajan M., B.Engg, MBA, PMP
    Guha Rajan M., B.Engg, MBA, PMP
    Instructor's Courses
    Having over 25 + years of IT industry experience  (Product development, Consulting & Training). His last engagement was with Oracle India (initially with consulting  and then with Oracle university) , which was for more than 12 years. Prior to this, had worked with Cap Gemini (formerly iGate Global Solution), GE to name a few.Had managed projects and programs  in Enterprise Resource Planning and Business Intelligence implementations  in the range of  3000 man days with revenue about 6mil US$ per year. These projects are on industry domains, such as  Oil and Gas, Process Manufacturing, Hi-Tech Retail & Telecom across the globe.Was awarded with "pace setter" , "best managed " project awards in recognition of efforts in project management. He was also instrumental in design, development and roll-out of Graduate Hire program on Oracle Products stack for partner IT services companies in recent times.Right from college was fascinated about devices  and sensor interaction with computer, which made him focus on micro-controller in early 90's and that eventually  attracted him towards field of Internet of things and Machine learning, AI these days. Due to his vast experience, he has crafted varied unique courses in Udemy related project management, Internet of things, ERP & BI, Database modeling and design, SQL, Linux  and more importantly on Cloud Infrastructure. Has plans to create more, as his passion has been on knowledge acquisition and sharing.He is certified asOracle Cloud Infrastructure 2021 Architect Professional.Oracle Cloud Infrastructure 2021 Architect Associate.Oracle Cloud Infrastructure 2021 Cloud Operations Associate. Oracle Cloud Infrastructure Security 2021 Certified AssociateOracle Autonomous Database Cloud 2021 Certified SpecialistOracle Machine Learning using Autonomous Database 2021 Certified SpecialistAlso certified  in Python, IOT by NPTEL (Govt of India ) recently.He holds a degree in engineering (Computer science) with MBA and a certified PMP since 2007
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 32
    • duration 3:53:16
    • English subtitles has
    • Release Date 2024/04/13