The Fifth Elephant 2016

India's most renowned data science conference

Machine Learning - Democratized

Submitted by BrijRaj Singh (@brijrajsingh) on Thursday, 28 April 2016

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Technical level

Beginner

Section

Full talk

Status

Submitted

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Abstract

Machine Learning is no more a science for data scientists and data engineers, the cloud based machine learning services have democratized the entire process of Machine learning, right from the Data science to the data engineers to the data visualization. You no longer need to be an expert in either to take a taste of Machine learning or see how it works. The cloud based ML options even allow you to go a step ahead and try with custom Python and R code, we’ll write a little as well ourselves.

Outline

  1. Introduction to Machine learning basics
    a. How does Machine learning works b. What kind of tools do Machine learning pros use to do ML and Why is it considered a complex scienece.
  2. Introduction to Cloud based Machine learning options
    a. Introduction to various cloud implementations of Machine Learning platforms, and Why do you need the cloud based Machine learning platforms. b. Myth or fact - are the Cloud based Machine learning platforms tying you down with themselves or you can still do the open source programming and yet use them. c. See how a newbie of Machine Learning can yet try to make a Model and re-use some established Machine learning algorithms like Recommendation engine.
  3. Write a Machine learning implementation and use it in your application.
    a. Author a Machine learning model in one of the cloud implementation, and make it usable to developers there and then.
  4. May be bring in some python or R code to the ML implementation
    a. Write your custom Python or R code and use Jupyter notebooks in the cloud based model as well.

Requirements

Anyone who wants to learn Machine learning

Speaker bio

I am a Sr. Technology Evangelist (Open Source solutions) with Microsoft. I have a decade worth of experience in both Microsoft technologies as well as with open source technologies. I have architected highly scalable and reliable solutions using Open source technologies.
I regularly speak at 3rd party conferences, I love to work with technologies that make developers lives easy, every now and then a new product comes out that makes the processes more easier, my job is to bring that knowledge to devs and make our lives simpler, because everyone has other things to do.

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