ML 013: Recommender Systems with Frank Kane

ML 013: Recommender Systems with Frank Kane

In this episode of Adventures in Machine Learning, the amazing author and course creator Frank Kane entertains our panel with information and examples. Beril Sirmacek, Gant Laborde, Daniel Svoboda, & Charles Wood talk with Frank Kane about recommender systems. The discussion elaborates on collaborative and content based recommendation systems, how they all work and how amazing they can be. Frank’s variety of experience provides fun stories, exciting examples, and a roadmap for beginners filled the complex domain with friendly stories. This episode is a MUST LISTEN for people interested in getting into Machine Learning or recommender systems. Sponsors Panel
  • Charles Max Wood
  • Gant Laborde
  • Daniel Svoboda
  • Beril Sirmacek
Guest
  • Frank Kane
Links Picks Daniel Svoboda: Beril Sirmacek: Gant Laborde: Charles Max Wood: Frank Kane: Follow Adventures in Machine Learning on Twitter > @podcast_ml

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ML 021: Grokking Deep Reinforcement Learning with Miguel Morales

ML 021: Grokking Deep Reinforcement Learning with Miguel Morales

Miguel Morales is a Machine Learning engineer at Lockheed Martin and teaches at Georgia Institute of Technology. This episode starts with a basic explanation of Reinforcement Learning. Miguel then tal...

16 Helmi 20211h 5min

BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask

BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask

John-Daniel Trask, founder and CEO of Raygun, talks about his experience building a monitoring company and about how to measure the speed and quality of your code. Advertising Inquiries: https://red...

5 Helmi 202150min

BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask

BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask

John-Daniel Trask, founder and CEO of Raygun, talks about his experience building a monitoring company and about how to measure the speed and quality of your code. Advertising Inquiries: https://red...

5 Helmi 202150min

ML 020: How to Make an Impact on the Development Community

ML 020: How to Make an Impact on the Development Community

Charles Max Wood takes a solo flight into how to make an impact on the development community and build the career you want at the same time. Chuck starts out summarizing his journey over the last year...

2 Helmi 202145min

ML 019: Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy

ML 019: Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy

Peter Elger and Eóin Shanaghy join Charles Max Wood to dive into what Artificial Intelligence and Machine Learning related services are available for people to use. Peter and Eóin are experts in AWS a...

26 Tammi 202157min

ML 018: Mastering Data Pipelines with Apache Spark with Jean-Georges Perrin

ML 018: Mastering Data Pipelines with Apache Spark with Jean-Georges Perrin

Jean-Georges Perrin compares Apache Spark to an operating system for data management. He explains how it can be used to pull data from disparate data sources, process the data, feed it into Machine Le...

19 Tammi 202142min

ML 017: The Nature of the World and AI with Rishal Hurbans

ML 017: The Nature of the World and AI with Rishal Hurbans

Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types o...

12 Tammi 202142min

ML 016: Python as a Basis for Machine Learning with Ken Youens-Clark

ML 016: Python as a Basis for Machine Learning with Ken Youens-Clark

Ken Youens-Clark regales us with his history through Jazz, Microsoft Tech, and Python and bioinformatics. Regular expressions are a fundamental part of data identification and cleaning. Also, we touch...

5 Tammi 202159min

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