Category: AI / Machine Learning / Deep Learning
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Standing Firm on Professional Integrity: The Crucial Role of Data Scientists in Data Warehousing and Governance
In the realm of data science, maintaining professional integrity is not just a matter of ethics; it’s a cornerstone of […]
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The Four Pillars of a Successful Data Scientist: Logical Thinking, Hunger to Learn, Passion to Implement, and Communication Skills
In today’s data-driven world, the role of a data scientist is both crucial and multifaceted. Success in this field requires […]
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Understanding the Proper and Best Practices for Using Generative AI
Generative AI, particularly large language models (LLMs) like OpenAI’s ChatGPT, has revolutionized the way we interact with technology, providing powerful […]
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Open Source Solutions for Comprehensive Data Governance and AI Governance
Introduction: As a data scientist with limited budget constraints, implementing effective data governance and AI governance practices can be challenging. […]
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Fusing AI Canvas and BADIR: A Unified Approach to Transformative AI Projects
The BADIR (Business Question, Analysis Plan, Data Collection, Insights, and Recommendation) framework and the AI Canvas framework share some common […]
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Bookshelf for a Data Scientist
As a data scientist, reading book is a daily activity and most of my skills are built from reading. However, […]
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Different Jobs/Roles in a Data Science Team
People are always saying that Data Science is so hot and expected highly paid in the industry. There are lots […]
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Advanced Data Analytics with Free Tools
In the field of Data Science, there are lots of great tools without charging a penny. Data Analytic never requires […]
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Trends in Data Science for 2020 & 2021
I have not published any article for more than 2 months. It was extremely busy for the re-work on different […]
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AI Canvas to Work out AI
In this article, I would like to share the simple decision-making tool named AI Canvas and being used in MBA […]