With oneAPI AI Analytics Toolkit, accelerate Python* for data science and machine learning.
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| data science and machine learning |
Python is a programming language that is frequently used. It has become a necessary component in developing end-to-end science applications. For example, while developing data science apps, one of the main emphases for businesses should be on developing a decision support system rather than optimizing the application's speed. This ensures a pleasant and increased end-user experience.
The need to scale and optimize models is something that every data scientist, machine learner, and software developer faces on a regular basis. This is where the Intel® oneAPI software ecosystem comes into play, allowing developers to expedite their Python-based data science applications.
Python has become one of the most widely used and valuable programming languages in the advancement of scientific research and computation. This programming tool has a large ecosystem of open-source packages for mathematics, science, and engineering that are based on fast numerical computation on arrays and matrices, data analysis and visualization capabilities, and an interactive development environment that allows for rapid and collaborative ideas iteration.
It's used to find new objects in space, compute thermodynamics, do cancer genomic analysis, predict earthquakes, model musculoskeletal systems, visualize asteroid chemistry, and much more.
Intelaccelerated ®'s Python* packages allow scientists to benefit from Python's productivity while also taking use of current hardware's rising performance.
Make a reservation for the workshop. Click here
The workshop will cover the following topics:
- Enchantment of knowledge about the oneAPI Ecosystem and its benefits
- How to use oneAPI to scale and speed your Python application
- What is the best way to launch a machine learning application?
- On the Intel® Devcloud, create an E2E Data Science solution.
Credit risk modeling from BFSI and Telecom Industry Churn Analytics would be among the applications highlighted at the event.
The Intel® oneAPI AI Analytics Toolkit allows machine learning developers and data scientists to optimize their scikit-learn and XGBoost algorithms on Intel® architecture.
Who should show up?
- Developers of software
- Managers of information technology
- Developers of AI and machine learning
- Scientists that work with data
- GPU programmers or researchers
- Engineers in artificial intelligence
- Professionals in data science
- Architects in the fields of IT, technology, and software
- Senior technology/engineering/software executives
Details on the speaker
>Ritesh R. Kulkarni, APJ, Intel, Business Development & Channel Management
Ritesh Kulkarni is a versatile professional with 20 years of experience in a variety of fields, including electronics hardware technology product development, embedded software solutions, client engagements, partner development, customer experience management, managing strategic accounts, implementing business growth plans, and achieving targeted revenue goals.
> oneAPI Certified Instructor Krishna Mouli
Krishna Mouli is a data science program manager at Boston IT Solutions. He has over ten years of expertise in the domains of data science and artificial intelligence. As a data scientist, he helps technology businesses working in computer vision design and deploy AI and data science products at scale. He's also an Intel® oneAPI software tools certified instructor who regularly shares his knowledge with the academic and developer communities. Krishna is also interested in developing a Deep Learning algorithm based on an application that answers modern-day business difficulties.
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| Workshop Agenda |
Sign up for an Intel® DevCloud account, a free development sandbox with access to the latest Intel® hardware and oneAPI software, before attending the class.
The Intel® DevCloud Setup Guide may be found here
Please preserve the email from Intel® DevCloud that contains the Username, Node Name, and URL included in it and bring it to the session.
(If this email does not arrive in your inbox, check your spam bin.)
Please join us on the Discord channel Click here for live Q&A during the class.
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