machine learning models

Welkom bij een nieuwe aflevering van AIToday Live - de hel genaamd Excel! In deze aflevering bespreken we de problemen rondom het gebruik van Excel als een database en de impact ervan op de kwaliteit van data.

Onze gast(en) leggen uit waarom Excel niet geschikt is als een volwaardig database systeem en delen mogelijke oplossingen, zoals het behandelen van Excel als een applicatie en het gebruik van tools zoals Python of data warehouses. Leer hoe je Excel op de juiste manier kunt gebruiken en ontdek oplossingen om datakwaliteitsproblemen aan te pakken.

• Podcast: De Dataloog (https://open.spotify.com/show/1147MthgSv9eNx3dkwllCu?si=fe17f1478e9f474b)

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We zijn altijd op zoek naar nieuwe gasten die over AI willen spreken.

• Stuur een bericht via LinkedIn naar Joop Snijder of Niels Naglé

This article explores the paradigm shift in digital advertising brought about by AI-powered marketing tools. These tools combine the capabilities of AI and automation to transform traditional advertising methods. They leverage historical data to generate optimized ad content and execute personalized campaigns, resulting in increased organic traffic. The article presents a list of top AI marketing platforms, including Ad Creative.ai, known for its ML-powered ad creatives, AD YOU NEED with its AI Audience Finder, and Albert, an AI marketing guru offering cross-channel capabilities. Embracing AI-powered marketing allows marketers to achieve unprecedented efficiency, personalization, and success in their ad campaigns.

In this enlightening episode of AI Frontier, we delve deep into Explainable AI (XAI). We discuss the importance of understanding and interpreting AI systems, real-world examples of AI transparency issues, ethical implications, and regulatory requirements. We also explore a variety of XAI techniques, their challenges, and limitations, and the future of this crucial field. As AI continues to permeate our lives, this episode underscores the growing need for transparency, interpretability, and accountability in AI systems.

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Dr. Kim Branson’s intense interest in drug discovery and structural biology quickly led to an interest in machine learning. After receiving multiple degrees from esteemed universities in Australia, Branson trained at Stanford and now works as the Senior Vice President and Global Head of AI/ML at GSK. With host, Stan Gloss, Branson shares his work in creating “biological twins.” These 3-D tumor culture models replicate cancer and their respective immune environments. Branson and his team monitor tumor and immune responses to cancer drugs in real-time. The clinical implications of anticipating a tumor’s every move within a patient’s body are astounding. He also explains why thoughtfulness is paramount in experiment design and how a project’s impact should be the primary consideration before proceeding. Learn how GSK recruits talent and the importance of creating a multidisciplinary environment. Hear Branson talk about eliminating AI analysis bias, navigating ethical issues, and the new generation of leaders on his team. 

Links from this episode:  
Bio-IT World
BioTeam
GSK 

Trends from the Trenches boiler: Bio-IT World’s Trends from the Trenches podcast delivers your insider’s look at the science, technology, and executive trends driving the life sciences through conversations with industry leaders. BioTeam co-founder Stan Gloss brings years of industry experience in science, data, and technology to conversations exploring what is driving data and discovery, and what’s coming next.

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What is the major purpose to check R-Squared in Regression Models.