Published Jul 30, 2018

Understanding the landscape of AI techniques

Explore the evolution of AI tools with Chris Benson and Daniel Whitenack as they delve into the democratization of machine learning and the transformative role of R with expert Jared Lander, unraveling AI jargon and highlighting the strengths of nonlinear modeling with trees and neural networks.

Episode Highlights

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Dexa/Practical AI

Understanding the landscape of AI techniques

Topics covered

Popular Clips

Impactful Data Science

Diving into R

Getting Started with ML

R for AI

R for AI

Vibrant Data Community

R in AI

Demystifying AI Jargon

Democratizing AI Tools

Data Science Conversations

Nonlinear Deep Learning

AI Insights

Polyglot Programming Insights

AI Insights

Episode Highlights

Democratizing AI

AI Landscape

R in AI

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Topics covered

Popular Clips

Episode Highlights

Democratizing AIAI tools are becoming more accessible, allowing developers to easily implement machine learning models without deep mathematical expertise. This shift is transforming how AI models are moved into production, with R playing a crucial role in facilitating this process.

Democratizing AI

AI LandscapeJared Lander explores the intricacies of nonlinear modeling and its significance in AI, emphasizing the power of trees and neural networks. He also clarifies common misconceptions about AI techniques and the importance of understanding AI jargon.

AI Landscape

R in AIJared Lander, a key figure in the R community, discusses the strengths of R in AI and data science. He highlights the language's robust community, practical applications, and seamless integration with modern AI tools.

R in AI

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