Accelerate Python* for data science and machine learning with oneAPI AI Analytics Toolkit

Intel®'s accelerated Python* packages enable scientists to take advantage of the productivity of Python while taking advantage of the ever-increasing performance of modern hardware.
Accelerate Python* for data science and machine learning with oneAPI AI Analytics Toolkits

In a bid to accelerate Python for data science and machine learning, Intel®, in collaboration with Analytics India Magazine brings to you oneAPI AI Analytics workshop on April 22, 2022, from 3:00 PM to 5:00 PM

Python is one of the widely used programming languages. It has become an integral part of building end-to-end science applications. For example, when building applications related to data science, one of the key focuses for companies would be to build a decision support system rather than optimisations of the application’s performance. This ensures the end-user experience is smooth and enhanced. 

Regularly, this is one of the common gaps every data science, machine learning, and software developer goes through – the need to scale and optimize models. This is where Intel® oneAPI software ecosystem comes into play, where developers can accelerate their data science applications, which is again based on Python. 

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Python has become one of the pervasive and useful tools in advancing scientific research and computation. This programming tool has a rich ecosystem of open-source packages for mathematics, science, and engineering, anchored on the performant numerical computation on arrays and matrices, data analysis and visualization capabilities, and an interactive development environment that enables rapid and collaborative iteration of ideas. 

It is used to discover new objects in space, calculate thermodynamics, conduct genomic analysis of cancer, estimate the likelihood of earthquakes, simulate musculoskeletal systems, visualise asteroid chemistries, and much more. 

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Intel®’s accelerated Python* packages enable scientists to take advantage of the productivity of Python while taking advantage of the ever-increasing performance of modern hardware. 

Register for the workshop

The workshop will cover 

  • Knowledge enchantment on oneAPI Ecosystem and its advantages 
  • How to scale and accelerate your Python application on oneAPI 
  • How to deploy an ML application 
  • Build an E2E Data Science solution on the Intel® Devcloud 

The applications showcased at the workshop would be related to credit risk modelling from BFSI & Telecom Industry Churn Analytics. 

Intel® said that machine learning developers or data scientists could optimize your scikit-learn and XGBoost algorithms on Intel® architecture using the Intel® oneAPI AI Analytics Toolkit.

Who should attend

  • Software developers
  • IT managers 
  • AI/ML developers 
  • Data scientists 
  • Researchers or GPU programmers 
  • AI engineers 
  • Data science professionals 
  • IT, technology, and software architects 
  • Senior managers of technology/engineering/software

Speaker details 

Ritesh R. Kulkarni, Business Development & Channel Management, APJ, Intel

Ritesh Kulkarni is a versatile professional with 20 years of diverse experience in electronics hardware technology product development, embedded software solutions, client engagements, partner development, customer experience management, managing strategic accounts, implementing plans for business growth and achieving targeted revenue goals.

Krishna Mouli, oneAPI Certified Instructor 

Krishna Mouli is a program manager in data science at Boston IT Solutions. He has over ten years of experience in data science and AI fields. As a data scientist, he is involved in building and deploying AI and data science applications at scale for the technology companies working in computer vision. He’s also a certified instructor for Intel® oneAPI software tools and actively shares knowledge with the academic and developer community. In addition, Krishna is interested in building an application based Deep Learning algorithm which solves modern day business problems.

Workshop Agenda 

Introduction to oneAPIRitesh Kulkarni3:00 PM to 3:15 PM
Intro to oneAPI Toolkits Krishna Mouli3:15 PM to 3:45 PM 
Demo on AI applications specific to industry vertical Krishna Mouli3:45 PM to 4:15 PM 
Demo on Python using oneAPI AI Analytics Toolkit on Intel® DevCloudKrishna Mouli4:15 PM to 5:00 PM 

Register for the workshop

Prerequisites for the workshop:

  • Please Sign up for an Intel® DevCloud account, a free development sandbox with access to the latest Intel® hardware and oneAPI software.

You can find Intel® DevCloud Setup Guide here.

  • Please save the email you would have received from Intel® DevCloud with the Username, Node Name & the URL embedded in the email and bring it to the workshop.

(Check your spam folder if this email does not hit your inbox).


Exclusive Contests — Participate & Win!

Lucky Draw Contest

  • Analytics India Magazine is running a Lucky Draw wherein at the end of the workshop 10 lucky participants will get a chance to WIN Amazon Vouchers worth INR 2000/- each. 

Note: The winners will be selected based on their engagement on Discord throughout the workshop.


Register for the workshop

Sign up for The Deep Learning Podcast

by Vijayalakshmi Anandan

The Deep Learning Curve is a technology-based podcast hosted by Vijayalakshmi Anandan - Video Presenter and Podcaster at Analytics India Magazine. This podcast is the narrator's journey of curiosity and discovery in the world of technology.

Amit Raja Naik
Amit Raja Naik is a seasoned technology journalist who covers everything from data science to machine learning and artificial intelligence for Analytics India Magazine, where he examines the trends, challenges, ideas, and transformations across the industry.

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