Adventures in Machine Learning

ML 022: Machine Learning with TensorFlow Chris Mattmann

Chris explains how Tensorflow has grown over the last several years and the how it can be used to build and grow Machine Learning Systems. He explains the different algorithms you can use and the different types of problems it can solve. Chris works at the Jet Propulsion Laboratory for NASA and dives into a…

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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 talks through the various methods of implementing and training systems through Reinforcement Learning. We talk algorithms and models and much more… Panel Charles Max Wood Guest…

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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 or so and then dives into his vision of how people can grow into becoming an influencer and…

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

Panel Charles Wood Guest Eóin Shanaghy Peter Elger Sponsors Next Level Mastermind Links fourTheorem Twitter: Eóin Shanaghy Twitter: Peter Elger Picks Charles- The Eye of the World: Book One of The Wheel of Time by Robert Jordan Charles – Changemakers With Jamie Atkinson Charles- Podcast Domination Show by Luis Diaz Charles- Buzzcast Charles- Podcast Talent Coach…

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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 Learning algorithms and stream the data out to other data streaming services. Coupon code: podmladventure20 Panel Charles Wood Guest Jean-Georges Perrin Sponsors…

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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 of algorithms based on different natural systems and processes. Panel Chuck Wood Guest Rishal Hurbans Links Kaggle: Your Machine Learning and Data Science Community Rishal…

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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 on the importance of types and tests as a specification for yourself and others. Python, as a data-science starting point, should be clean, functional, and friendly….

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ML 015: Extracting Value from Data with Alexey Grigorev

Alexey Grigorev is the lead data scientist for one of the biggest classified ads companies in the world. He walks us through gathering, mining, and understanding data to improve things. One big component of this is Machine Learning. It optimizes business processes and helps data scientists understand the data they have. Panel Beril Sirmacek Daniel…

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ML 014: Deep Learning with Structured Data with Mark Ryan

Mark Ryan is the lead Data Scientist for an insurance company in Toronto. He walks us through the ins and outs of structured data, how to manage it, and how to build Machine Learning systems. His book walks the reader through building a system that predicts whether bus routes in Toronto will be late using…

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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…

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ML 011: History of AI in the UK with Laurence Moroney

In this episode of Adventures in Machine Learning, the panelists chat with Laurence Moroney about the history of AI in the UK. We talk about the AI overlords, ethics, and the need for teaching. Industry revolutions and how we can adapt them to improve life. Laurence is working on new synthetic datasets so tune in…

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ML 010: Brains, Guitars, and JavaScript with Milecia McGregor

In this episode of Adventures in Machine Learning, Charles and Gant chat with Milecia about applying AI to UI/UX and the conversation takes a creative turn as they discuss plenty of other fun-filled and exciting topics she’s working on. There’s banter about self-driving cars and golf carts as they apply AI/ML to practical and non-practical…

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