##The eighth edition of The Fifth Elephant will be held in Bangalore on 25 and 26 July. A thousand data scientists, ML engineers, data engineers and analysts will gather at the NIMHANS Convention Centre in Bangalore to discuss:
##Highlights:
1. Meet Peter Wang, co-founder of Anaconda Inc, and learn about why data privacy is the first step towards robust data management; the journey of building Anaconda; and Anaconda in enterprise.
2. Talk to the Fulfillment and Supply Group (FSG) team from Flipkart, and learn about their work with platform engineering where ground truths are the source of data.
3. Attend tutorials on Deep Learning with RedisAI; TransmorgifyAI, Salesforce’s open source AutoML.
4. Discuss interesting problems to solve with data science in agriculture, SaaS perspective on multi-tenancy in Machine Learning (with the Freshworks team), bias in intent classification and recommendations.
5. Meet data science, data engineering and product teams from sponsoring companies to understand how they are handling data and leveraging intelligence from data to solve interesting problems.
##Why you should attend?
##Full schedule published here: https://hasgeek.com/fifthelephant/2019/schedule
##Contact details:
For more information about The Fifth Elephant, sponsorships, or any other information call +91-7676332020 or email info@hasgeek.com
#Sponsors:
Sponsorship Deck.
Email sales@hasgeek.com for bulk ticket purchases, and sponsoring 2019 edition of JSFoo:VueDay.
#Platinum Sponsor
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#Community Sponsors
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#Exhibition Sponsors
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#Bronze Sponsor
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#Community Sponsors
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Hosted by
\AbdulMajedRaja
@amrrs
Submitted Apr 15, 2019
Language Wars have always been there for ages and it’s got a new candidate with Data science booming - R vs Python. While the fans are fighting R vs Python, the creators (Hadley Wickham (Chief DS @ RStudio) and Wes McKinney (Creator of Pandas Project)) are working together as Ursa Labs team to create open source data science tools. A similar effort by RStudio has given birth to Reticulate (R Interface to Python) that helps programmers combine R and Python in the same code, session and project and create a new kind of super hero.
Why R and Python?
Introduction to Reticulate
Python Engine
Code Outline
Sample Use-case explanation
Potential use-cases to create a new super power
Duration of the workshop. - ~2 hours
Background knowledge required to participate in the workshop. What concepts/technologies should participants be familiar with in order to attend the workshop. - Knowledge of R and Python. Use of RStudio and Python installation
Target audience: who should attend the workshop? - Datascientist / Consultant who wants to leverage the power of both R and Python for their Projects
Who should NOT attend this workshop. - This isn’t for someone who wants to learn R or Python or any other Data science Concepts
Why attend this workshop? What will participants learn from attending this workshop? How will they benefit? - Understanding the capability of using Python with R. Learning the technical acumens of it and ideas to incorporate it in their own Workflows.
Detailed workshop plan
- Why R and Python?
* Moving away from R vs Python
* Cases where both the langauges together will help
- Introduction to Reticulate
* What’s about the package reticulate
* How to install reticulate
* Basic Functions
- Python Engine
* Understanding about Python Engine in the local Machine
* Select Different Engine for Reticulate Session
- Code Outline
* Layout/Structure of the Code
* Presence of R
* Presence of Python
* Object Interaction
- Sample Use-case Explanation
* What’s the use-case
* Spacy - Outline
* RMarkdown - Outline
* Combining Spacy and Rmarkdown with Reticuate
* NLP Analysis Report
- Potential use-cases to create a new super power
* Use-cases that audience can take back
Requirements.
- R, RStudio, Python (with Enviroment Path configured)
- reticulate - Package installed
- Github Repo contents
- Necessary Python Packages
- Basic Computer Configuration - Any OS, Basic RAM (~2+ GB)
Abdul Majed is an Analytics Consultant helping Organizations make sense some out of the massive - often not knowing what to do - data. Married to R (but dating Python). Always amazed by Open Source and its contributors and trying to be one of them.
Organizer @ Bengaluru R user Group (BRUG) Organizer
Contributed to Open source by publishing packages on CRAN and PyPi
Writer @ Towards Data Science and DataScience+
https://github.com/amrrs/python_plus_r_brug/blob/master/py_plus_r.pdf
Hosted by
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