Robert (Bob) Hoyt MD FACP ABPM-CI FAMIA – Medium

Robert (Bob) Hoyt MD FACP ABPM-CI FAMIA

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No-Code Data Science: Part 1

Are You Ready?

Nov 10, 2023

No-Code Data Science: Part 1

Nov 10, 2023

Pinned

Maximizing Orange for Data Science Education — Part 1

What is Orange?

Jul 23, 2022

Maximizing Orange for Data Science Education — Part 1

Jul 23, 2022

TabPFN: New Way to Analyze Data

Supervised learning is a machine learning method to predict an outcome using data that has a known label or outcome as part of the data. If…

Jan 11

TabPFN: New Way to Analyze Data

Jan 11

Artificial Intelligence: Battle of the Biases

It seems to me that artificial intelligence can reduce confirmation bias but at the same time worsens automation bias. Let’s take a look.

Dec 2, 2024

Artificial Intelligence: Battle of the Biases

Dec 2, 2024

OpenEvidence: Free AI-Powered Medical Search Engine

Physicians make multiple decisions every day. According to one study, a group of 10 pediatric cardiologists made on average 158 decisions…

Aug 22, 2024

OpenEvidence: Free AI-Powered Medical Search Engine

Aug 22, 2024

Vizly: AI-Enabled Data Analytics

Part 2

Aug 8, 2024

Vizly: AI-Enabled Data Analytics

Aug 8, 2024

Vizly: AI-Enabled Data Analytics

Part 1

Aug 1, 2024

Vizly: AI-Enabled Data Analytics

Aug 1, 2024

High-Performance Predictive Analytics Without Programming

Robert E Hoyt and David Patrishkoff

Jul 23, 2024

High-Performance Predictive Analytics Without Programming

Jul 23, 2024

Can Large Language Models Create Tabular Synthetic Data?

They can, but they have a variety of challenges

Apr 8, 2024

Can Large Language Models Create Tabular Synthetic Data?

Apr 8, 2024

Beyond Static Models: Boost Your Results with Dynamic Optimization in Orange

Introduction

Mar 13, 2024

Beyond Static Models: Boost Your Results with Dynamic Optimization in Orange

Mar 13, 2024

Robert (Bob) Hoyt MD FACP ABPM-CI FAMIA

Robert (Bob) Hoyt MD FACP ABPM-CI FAMIA

Bob is a physician data scientist and author of several textbooks found at https://www.informaticseducation.org and https://nocodedatascience.net

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