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Is GPT-4 Getting Any Better At Quantitative Image Analysis?

Towards AI

Can it do decent quantitative analysis from a data visualization? For me, one of the most useful GPT-4 tools is the ability to analyze and interpret image data. But how good it this tool now with charting data and with map images? Join thousands of data leaders on the AI newsletter. This member-only story is on us.

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Is GPT-4 Getting Any Better At Quantitative Image Analysis?

Towards AI

Can it do decent quantitative analysis from a data visualization? For me, one of the most useful GPT-4 tools is the ability to analyze and interpret image data. But how good it this tool now with charting data and with map images? Join thousands of data leaders on the AI newsletter. This member-only story is on us.

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Meet the Newest Minds Powering ODSC East 2025

ODSC - Open Data Science

He has taught Python and ML since 2015 through LinkedIn Learning, Stanford, andUCSD. Nadieh Bremer, Data Visualization Designer at VisualCinnamon An award-winning designer and co-author of Data Sketches , Nadieh crafts one-of-a-kind data visualizations from complex datasets with vibrant aesthetics.

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Michael I. Jordan of Berkeley on Learning-Aware Mechanism Design

ODSC - Open Data Science

Rumelhart Prize in 2015, and the ACM/AAAI Allen Newell Award in 2009. He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E.

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Netflix Data Analysis using Python

Mlearning.ai

In today’s blog, we will explore the Netflix dataset using Python and uncover some interesting insights. In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. The dataset includes the title, duration, type, and number of seasons. Thank you for reading!

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Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care.

Towards AI

Gilead Sciences provided a rich, real-world dataset that contains information about demographics, diagnosis and treatment options, and insurance provided to patients who were diagnosed with breast cancer from 2015–2018. The dataset originated from Health Verity, one of the largest healthcare data ecosystems in the US.

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Best Machine Learning Frameworks for ML Experts in 2023

Pickl AI

It supports languages like Python and R and processes the data with the help of data flow graphs. TensorBoard, a large package that is typically overlooked, is included within TensorFlow and is used for data visualization. When working with shareholders, TensorBoard makes it easier to visually represent the data.