Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148

Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148

Lukas Geiger is a Deep Learning Scientist, open-source developer, and an astroparticle physicist. He shares his experience using machine learning to analyze cosmic ray particles and detect secondary particles. We explore the challenges and opportunities of open source as a business model, the potential of models for edge computing, and the importance of understanding open-source code. Join us as we delve into the intersection of physics, machine learning, and the intricate world of software development.
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BONUS: How to Crush Your Biggest Goals in 2021

BONUS: How to Crush Your Biggest Goals in 2021

Get the 2020 Goal Setting Workshop + Success Accelerator Deal HERE (Coupon Code: GOALS for a massive discount) Mani Vaya joins Charles Max Wood to walk him through the 6 pillars of success that lea...

1 Tammi 20211h 7min

ML 015: Extracting Value from Data with Alexey Grigorev

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 compon...

29 Joulu 202052min

ML 014: Deep Learning with Structured Data with Mark Ryan

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...

23 Joulu 202048min

BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working

BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working

Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal Coupon Code: "DEEP" for a GIANT discount Mani provides us with strategies and tactics to get Deep Work time and how to...

27 Marras 202047min

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, & ...

17 Marras 202048min

ML 012: Machine Learning for Mere Mortals with Nick Chase

ML 012: Machine Learning for Mere Mortals with Nick Chase

Nick Chase is the author of the video series “Machine Learning for Mere Mortals.” He helps break down some of the misconceptions about how complicated Machine Learning is and the magical parts of the ...

3 Marras 202036min

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

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. Indust...

27 Loka 202055min

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

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 a...

20 Loka 202045min

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