Anthill Inside 2017

On theory and concepts in Machine Learning, Deep Learning and Artificial Intelligence. Formerly Deep Learning Conf.

Supervised-machine-learning without coding

Submitted by Rajesh Gudikoti (@ragudiko) on Wednesday, 7 June 2017

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Technical level

Beginner

Section

Full talk

Status

Submitted

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Abstract

We can build the machine learning model which can understand the linguistic nuances and relationships specific to a industry. Once model is trained and evaluated, you can use it to extract domain specific entities from new documents.

Outline

Current natural language processing techniques cannot extract/interpret the data as required by domain/industry specific. The data(entities) represent different meaning in different domain. To overcome such business issue we have tool by which you can Seamlessly create and deploy industry specific models for building cognitive apps.

In this tool we build type system specific to industry. The type system consists of entities and relationship between entities. For e.g.
In case of Employee and Employeer, employee and employer are entities and employedBy can represnted as relationship between two entities.
SMEs of the industry have better understanding of business, so their inputs will be required to build type system.

Human Annotators guide the system to understand the semantics of the industry by annotating(mapping) the text/phrase with specific entities.

Based on human annotation the machine learning model is trained and evaluated.
The tool provides option to anlayze the performance of the model. If you are satisfied with model, you can go ahead and use to anlayze new sms text. The performance of the system are represented by scores which helps us understand how many and which entities were correctly identified.

Requirements

Basic understanding of Natural Language Processing.

Speaker bio

Rajesh is working as Architect at IBM, India Digital Business Group. I have been part of product development in various domains.

Comments

  • 1
    Zainab Bawa (@zainabbawa) Reviewer a year ago

    Rajesh, Watson is closed source technology. It’s not free to use. Also, the current proposal reads as a pitch for using WKS. This counts as a sponsored session. Kindly confirm and clarify.

  • 1
    Rajesh Gudikoti (@ragudiko) Proposer a year ago

    WKS and Discovery are available as free subscription for limited period. Below is the link for WKS license details.
    https://www.ibm.com/us-en/marketplace/supervised-machine-learning

  • 1
    MionuJui (@seizecoupon) a year ago (edited a year ago)

    “There are people who would balk at the term machine learning, who would say it simply does not exist. Machines don’t learn, and as intelligent as a computer might seem, it is all algorithmic illusion. “

    any one can do ?

    - http://www.seizecoupon.com/

  • 1
    Rajesh Gudikoti (@ragudiko) Proposer a year ago

    I did not get you completely. Yes, it is underlying algorithm which does learning. Using WKS basic NLP knowledge will help to build machine learning model without need to build algorithm on your own.

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