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Mastering Large Language Models Part 1: A Beginner’s Guide to the Core Concepts
Mastering Large Language Models Part1: A Beginner’s Guide to the Core Concepts
“Decoding LLMs, Transformers, and the Science of Natural Language Understanding” Introduction Hey Reader, ever feel like the world of AI is zooming past faster than a rickshaw on...
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can statistics be misused?
can statistics be misused?
Lets explore the potential misuse of statistics, the causes of such misuse, and the consequences of it. Introduction Statistics is a field of study that deals with the collection,...
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Managing Up: How Data Scientists Can Get the Most Out of Their Manager
Managing Up: How Data Scientists Can Get the Most Out of Their Manager
A good working relationship with your manager can help you thrive in your role as a data scientist. Lets explore how you can mange your manager. Introduction The relationship...
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Strategies for Engaging Non-Technical Stakeholders in Data Science Projects
Maximizing Impact: Strategies for Engaging Non-Technical Stakeholders in Data Science Projects
Effective management of non-technical stakeholders is essential for the success of your data science projects. Lets Explore some strategies Introduction The role of data science...
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will Data Science Die?
will Data Science Die?
Introduction Data science is a rapidly growing field that involves the use of statistical and computational techniques to extract insights and knowledge from data. It has become an...
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The role of data science in the gaming industry
The role of data science in the gaming industry
According to Accenture’s estimation, the global video game market is worth more than $300 billion, Lets explore the various ways in which data science is used in the gaming industry. Introduction The...
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