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Reinforcement Learning and its Scope in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial Intelligence, Machine Learning and Data Science have been ruling the tech buzzword dictionary for the past couple few years.

IT 387
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Glossaries of Data Science Terminology

Rocket-Powered Data Science

Here is a compilation of glossaries of terminology used in data science, big data analytics, machine learning, AI, and related fields: Glossary of common Machine Learning, Statistics and Data Science terms. Data Science Glossary on DataScienceCentral. Data Science Glossary.

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How to leverage data to create a more intelligent organization

CIO Business Intelligence

Can you deliver meaningful results on a data project within one or two quarters? That’s a requirement for nearly any initiative undertaken by Petco Chief Data and Analytics Officer Rakesh Srinivasan, who invests the talent and resources to achieve results quickly.

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Thank you to Ankit Rathi for including me in his list of Data Science / Artificial Intelligence practitioners that he admires

Peter James Thomas

It’s always nice to learn that your work is appreciated and so thank you to Ankit Rathi for including me in his list of Data Science and Artificial Intelligence practitioners. George Firican – who of course is one of the contributors to The Data & Analytics Dictionary. Srivatsan Srinivasan.

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Version 2 of The Anatomy of a Data Function

Peter James Thomas

Between November and December 2017, I published the three parts of my Anatomy of a Data Function. Eight months is a long time in the data arena and I have now issued an update. Change Data Science to Data Science / Engineering in order to better reflect the continuing evolution of this area.

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Zen and the Art of AI Impact Assessments

DataRobot

It’s safe to say that most data science fails are inadvertent rather than malicious. The dictionary definition of zen is a state of meditative calm in which one uses direct, intuitive insights as a way of thinking and acting. AI requires data for training and for operation. AI impact statements are not always necessary.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?