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Breaking the Jargons #Issue 8
Your Bi-weekly Digest of what's happening in the field of Responsible AI.
Mar 24
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Parul Pandey
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Breaking the Jargons #Issue 8
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May 2023
A quick way to streamline your data science project structure
Dr. Rachael Tatman, in one of her presentations, emphasized the significance of code reproducibility with a poignant statement: “Why should you care…
May 22, 2023
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Parul Pandey
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A quick way to streamline your data science project structure
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How effective is Google's Bold and Responsible Approach to AI?
Google I/O 2023: A Look at Google's Approach to Building AI Responsibly
May 15, 2023
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Parul Pandey
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How effective is Google's Bold and Responsible Approach to AI?
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October 2021
Breaking the Jargons #4: August Edition
Machine learning pitfalls, cutecharts, Github features, and more…
Oct 7, 2021
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Parul Pandey
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Breaking the Jargons #4: August Edition
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August 2021
Breaking the Jargons #3: July Edition
Analyzing geospatial data, Twitter's algorithm, making stylish heatmaps and more...
Aug 4, 2021
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Parul Pandey
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Breaking the Jargons #3: July Edition
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July 2021
Breaking the Jargons #2: June Edition
Automating your data science projects, reviewing Hugging face course and more...
Jul 1, 2021
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Parul Pandey
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Breaking the Jargons #2: June Edition
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June 2021
Breaking the Jargons #1: May Edition
Machine Learning Interpretability, Decision Tree visualisation and more
Jun 1, 2021
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Parul Pandey
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Breaking the Jargons #1: May Edition
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May 2021
Coming Soon
A newsletter by Parul Pandey
May 23, 2021
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Parul Pandey
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Coming Soon
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