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Development Data Science Machine Learning

Introduction to Machine Learning With SAP® HANA®

Learn and Implement Your Own Custom Machine Learning Algorithm on Top of SAP®'s HANA® In Memory System
Rating: 2.6 out of 52.6 (97 ratings)
1,940 students
Created by CS PRO
Last updated 4/2018
English
30-Day Money-Back Guarantee

What you'll learn

  • Learn Basics of Machine Learning in Enterprise World
  • Learn SAP® HANA XSJS and Use it for Machine Learning(ML) Algorithm Implementation
  • Learn HANA® SQL Scripting in Details and Implement ML Algo
  • Learn Theory and Practical of Implementing Custom ML Algorithm
  • Build Simple End-to-End ML App with SAP® HANA®

Course content

2 sections • 10 lectures • 1h 14m total length

  • Preview02:37
  • Preview08:48
  • Problem Solving Techniques in ML and Intro to Naive Bayes
    07:44
  • A Basic Approach to Solving Sentiment Analysis using Naive Bayes Part - 1
    07:54
  • Basic approach to solving Sentiment analysis Using Naive Bayes Part - 2
    07:39

  • Hands on SAP HANA & Language used for implementing NB alogrithm
    08:07
  • Creating the Procedure
    09:00
  • Task 1: Extracting Words from test string
    08:57
  • Calculating posterior probability using NB Part -1
    07:37
  • Calculating posterior probability using NB Part - 2
    06:30

Requirements

  • Basic Understanding of SAP® Ecosystem

Description

Machine learning and the world of artificial intelligence (AI) are no longer science fiction. They’re here!
Get started with the new breed of software that is able to learn without being explicitly programmed, machine learning can access, analyze, and find patterns in Big Data in a way that is beyond human capabilities. The business advantages are huge, and the market is expected to be worth $47 billion and more by 2020.
In this course, you will implement your own custom algorithm on top of SAP®'s HANA® Database, which is an In-Memory database capable of Performing huge calculation over a large set of Data. We are going to use Native SQL to write the algorithm of Naive Bayes. Naive Bayes is a classical ML algorithm, which is capable of providing a surprising result, it is based out of the probabilistic model and can outperform even complex ML algorithm.

In this course we are going to start from the basics and move slowly to the implementation of the ML algorithm. We are not using any third party libraries but will be writing the steps in the Native SQL, so our code can take advantage of HANA® DB in-memory capabilities to run faster even when Data Set grows large.

Who this course is for:

  • Associate Software Consultant
  • Software Consultant
  • Senior Consultant
  • Architect and Solution Architect

Instructor

CS PRO
Computer Science for Professional
CS PRO
  • 3.6 Instructor Rating
  • 423 Reviews
  • 17,030 Students
  • 11 Courses

30+ Years of combined experience in Services, Consulting and Education. With more than a decade of experience in enhancing and implementing cutting edge technology for major European industries, some of them includes big Fortune 500 names.

We believes in the philosophy of spreading peace and happiness and we are a big fan of open source movement and also an alumni of prestigious IIT Kharagpur.

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