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With oneAPI AI Analytics Toolkit, accelerate Python* for data science and machine learning.

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data science and machine learning Intel®, in partnership with Analytics India Magazine, is hosting an oneAPI AI Analytics workshop on April 22, 2022, from 3:00 PM to 5:00 PM, in order to accelerate Python for 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 lang

The core of tech driving the most critical changes is data science.

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Data science is quickly advancing and flourishing in a variety of businesses around the world. It assists businesses in gaining control of a large volume of real-time data without making any mistakes, allowing them to avoid catastrophic consequences in the near future. Healthcare, IT, retail, manufacturing, BFSI, education, and many more industries are dominated by it. To acquire a competitive edge in this global economy, everyone has begun utilizing data science and recruiting data specialists. Data science has demonstrated the transformation of raw data into in-depth insights to attract more customers in the digital age via smart gadgets. Companies may now gain a better grasp of customer behavior, market trends, and SWOT analysis in a shorter amount of time. Data Science Companies in a variety of industries, however, require data specialists to extract insights from data and increase revenue in a competitive market. Thus, data science is constantly evolving into an in-demand and succ