Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

Computer Science 52

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ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. Research Why should a data scientist need to have research skills, even outside of academia you ask?

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Pickl AI

AUGUST 21, 2023

This guide throws light on the roadmap to becoming a Data Scientist. Key Takeaways: Data Science is a multidisciplinary field bridging statistics, mathematics, and computer science to extract insights from data. Step 4: Data Wrangling and Visualization Data isn’t always in pristine formats.

Data Scientist 52

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Pickl AI

JULY 18, 2023

Here are the key steps to embark on the path towards becoming an AI Architect: Acquire a Strong Foundation Start by building a solid foundation in computer science, mathematics, and statistics. There are several online platforms offering courses in artificial intelligence, data science, machine learning and others.

AI 52

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Pickl AI

JUNE 21, 2023

Hence, if you’re a student or working professional from non-technical background willing to transition to a career in Data Science, Pickl.AI’s Data Science course with placement is the best option for you. FAQs Is Data Science good for a non-technical background?

Data Scientist 52

Data Scientist Data Science Computer Science Computer Science 52

ODSC - Open Data Science

MARCH 3, 2023

As newer fields emerge within data science and the research is still hard to grasp, sometimes it’s best to talk to the experts and pioneers of the field. Recently, we spoke with Pedro Domingos, Professor of computer science at the University of Washington, AI researcher, and author of “The Master Algorithm” book.

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