Podcasts have emerged as an important medium to share information through. Though not as popular as the video, there are tons of very interesting podcasts that are being produced regularly.
So, we decided to hand-curate a list of interesting and popular podcasts around the topic of AI and machine learning. Do give a listen!
By Tote Bag Productions
Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions. Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what to do with the answers.
By Kyle Polich
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabilistic inference. In these mega-recitations, teaching assistant Mark Seifter works through problems from previous exams in a lecture-style setting. Students are asked to participate, and emphasis is placed on being able to work the algorithms by hand.
This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the worlds of machine learning and artificial intelligence. We discuss the latest developments in research, technology, and business, and explore interesting projects from across the web. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, big data and more.
Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!
This series aims to teach you the high level fundamentals of machine learning from A to Z. I’ll teach you the basic intuition, algorithms, and math. We’ll discuss languages and frameworks, deep learning, and more. Audio may be an inferior medium to task; but with all our exercise, commute, and chores hours of the day, not having an audio supplementary education would be a missed opportunity. And where your other resources will provide you the machine learning trees, I’ll provide the forest. Additionally, consider me your syllabus. At the end of every episode I’ll provide the best-of-the-best resources curated from around the web for you to learn each episode’s details.
By Ben Jaffe and Katie Malone
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.
AI has been described as “Thor’s Hammer“ and “the new electricity.” But it’s also a bit of a mystery – even to those who know it best. We’ll connect with some of the world’s leading AI experts to explain how it works, how it’s evolving, and how it intersects with every facet of human endeavor. This podcast is produced by NVIDIA, the AI computing company. Multiple episodes are released every month.
Artificial intelligence is more interesting when it comes from the source. Each week, Dan Faggella interviews top AI and machine learning executives, investors and researchers from companies like Facebook, eBay, Google DeepMind and more – with one single focus: Gaining insight on the applications and implications of AI in industry. Follow our Silicon Valley adventures and hear straight from AI’s best and brightest.
By Partially Derivative
The everyday data of the world around us, hosted by data science super geeks. For the nerdy and nerd curious.
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Bhasker is a Data Science evangelist and practitioner with proven record of thought leadership and incubating analytics practices for various organizations. With over 16 years of experience in the area of Business Analytics, he is well recognized as an expert within the industry. Earlier, Bhasker worked as Vice President at Goldman Sachs. He is B.Tech from Indian Institute of Technology, Varanasi and MBA from Indian Institute of Management, Lucknow.