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1 Understanding the Elegant Math Behind Modern Machine Learning 1:14:43
1:14:43
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Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying mathematical concepts that power modern machine learning, to help everyone grasp this technology impacting our lives–even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…
Triathlon Coach
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Manage series 3044388
Contenu fourni par Train Smooth. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Train Smooth ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
A daily triathlon podcast that answers your training, racing and nutrition questions.
…
continue reading
840 episodes
Tout marquer comme (non) lu
Manage series 3044388
Contenu fourni par Train Smooth. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Train Smooth ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
A daily triathlon podcast that answers your training, racing and nutrition questions.
…
continue reading
840 episodes
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Triathlon Coach

In this episode, I answer a question for new to swimming. Send questions through to tim@trainsmooth.com
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Triathlon Coach

1 #803 Heart Rate and Threshold 22:25
22:25
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In this episode, I answer a question on if lactate increases with heart rate Send questions through to tim@trainsmooth.com
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Triathlon Coach

1 #802 VO2 Max during Base Training 10:53
10:53
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In this episode, I answer a question on VO2 Max during base training Send questions through to tim@trainsmooth.com
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Triathlon Coach

1 #801 Cadence work on the bike @ Zone 2 13:04
13:04
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In this episode, I answer a question on doing cadence work on the bike in zone 2. Send questions through to tim@trainsmooth.com
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Triathlon Coach

In this episode, I answer a question on race day nutrition for an Ironman. Send questions through to tim@trainsmooth.com
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Triathlon Coach

In this episode, I answer a question on how to train for an Ironman in three months after coming off a injury. Send questions through to tim@trainsmooth.com
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Triathlon Coach

In this episode, I answer some questions on lactate testing Send questions through to tim@trainsmooth.com
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Triathlon Coach

1 #797 Training Slow Twitch vs Fast Twitch 20:18
20:18
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In this episode, I answer a question on training muscle fibers and is gym work really helpful at Ironman. Send questions through to tim@trainsmooth.com
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Triathlon Coach

1 #796 Half Ironman cycle sessions 24:33
24:33
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Aimé24:33
In this episode, I answer a question on cycle training for a half Ironman athlete. I give examples for a unfit triathlete, a moderately fit triathlete and a fit triathlete. Send questions through to tim@trainsmooth.com
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Triathlon Coach

In this episode, I answer a question on how to find and workout key swim metrics and looking at swim data to improve. Send questions through to tim@trainsmooth.com
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Triathlon Coach

1 #794 Fast wheels, tyres and tubes 12:27
12:27
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Aimé12:27
In this episode, I answer a question on wheels, tyres and tubes. What is best to train on and best to race on. Send questions through to tim@trainsmooth.com
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Triathlon Coach

1 #793 Over Reaching Training Volume 20:23
20:23
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In this episode, I answer a question about hard training sessions and big training weeks. Send questions through to tim@trainsmooth.com
In this episode, I answer a question on swim technique and quality vs quantity. Send questions to tim@trainsmooth.com
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Triathlon Coach

1 #791 Rest Days and Recovery Weeks 16:43
16:43
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Aimé16:43
In this episode I answer a question on rest days and recovery weeks. Send questions through to tim@trainsmooth.com
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Triathlon Coach

1 #790 What power to hold on race day 10:33
10:33
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Aimé10:33
In this episode, I answer a question on what power to hold for race day and what too much intensity during foundation blocks could be harming your season. Send questions through to tim@trainsmooth.com
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