Remove 12 data-science-leaders
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Diverse Bar Chart Analysis with GPT-4’s Advanced Data Analysis Tool

Towards AI

Last Updated on October 12, 2023 by Editorial Team Author(s): John Loewen, PhD Originally published on Towards AI. Bar chart analysis, including grouped bar charts and rate-change analysis, offers ways to present multiple data series side-by-side for direct comparison. Join thousands of data leaders on the AI newsletter.

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Top Important Computer Vision Papers for the Week from 2/10 to 8/10

Towards AI

Last Updated on October 12, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. In this article, we will provide a comprehensive overview of the most significant papers published in the first week of October 2023, highlighting the latest research and advancements in computer vision.

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The Good, The Bad, and the Ugly of pd.read_html

Towards AI

Last Updated on October 12, 2023 by Editorial Team Author(s): Adam Ross Nelson Originally published on Towards AI. It is time for another Good, Bad, + Ugly look at Data Science. In short pd.read_html() can let you grab, in one line of code,… Read the full blog for free on Medium. you’re missing out.

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History of AI: The Birth of Artificial Intelligence (1952–1956)

Towards AI

Last Updated on April 12, 2023 by Editorial Team Author(s): Dr. Mandar Karhade, MD. During this time, leading researchers in computer science and mathematics carried out some of the key foundational work in the field. This is part 2 in the History of AI series: Make sure to read… Read the full blog for free on Medium.

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Simplifying Time Series Forecasting, NVIDIA’s Neuralangelo, and Where Data Scientists Are Finding…

ODSC - Open Data Science

Why Data Security is Critical to Creating Effective AI Programs Traditional data security approaches fail to account for malicious attacks targeting AI initiatives. In no particular order, here are 3 reasons why data security is critical to building effective AI programs.

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Deep Learning Approaches to Sentiment Analysis, Data Integrity, and Dolly 2.0

ODSC - Open Data Science

Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions Let’s explore the elements of data integrity, and why they matter for AI/ML. Six Core Competencies Data Scientists Need to Succeed in Their Careers Data scientists need to know more than just algorithms to succeed. Here’s how.

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Computer Vision and Deep Learning for Education

PyImageSearch

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. Most of the data required is already being collected (e.g., AI’s ability to connect different data sources can help identify areas where real-time interventions are needed.