There is no better way to spend your time than listening to interesting pieces about the latest AI and Machine Learning topics. Here are the top ten AI and ML podcasts.
Top 10 Trending AI and ML Podcasts
1. The TWIML AI Podcast
Machine learning and artificial intelligence are fundamentally changing the way that organizations operate and how people live. It is vital to discuss the latest developments in these areas to reap the greatest benefits from technology. The TWIML AI Podcast reaches a significant and large audience of ML/AI academics and data scientists, engineers, and tech-savvy business, and IT (Information Technology) leaders, as well as the most talented minds, who gather the best ideas from the field of ML/AI.
A renowned analyst in the industry hosts the podcast. Sam Charrington is a speaker, commentator and thought leader. Deep learning, artificial intelligence, natural language processing, and neural networks are all examples of artificial intelligence and other technologies and topics are also discussed.
2. The AI Podcast
One interview, one person, one account. This podcast explores the impact of AI on our world. The AI podcast creates an oral history of AI. It has received 3.4 million listens and has been called one of the top AI and ML podcasts. They bring you a new story along with a 25-minute interview every two weeks. Therefore, no matter what difficulties you face in marketing, mathematics or astrophysics, paleo history, or simply you are looking for an automated method to deal with your child’s Lego pile, listen in and get inspired.
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3. Data Skeptic
Data Skeptic was launched in 2014 as a podcast. After hundreds of interviews and tens of millions of downloads, We are an authoritative source for data science, artificial intelligence, machine learning, and related topics.
Data Skeptic is a series of seasons. We speak with business leaders and scholars who are involved in the topic of our season.
Each visitor is carefully selected using an internal system. We do not work with PR firms so we cannot respond to unsolicited submissions. The best way to get on the show is to publish quality research to arxiv. It is crawled. We will find you.
Data Skeptic, a boutique consulting firm, is also the host of its podcast. Kyle is involved in every project that our team takes on. Our primary focus is on algorithmic design, cloud infrastructure, machine learning, and end-to-end computer science.
The Data Skeptic Podcast features interviews with experts and discussions on topics related to data science and statistics, machine learning, and artificial intelligence. All discussions are based on the application of critical thinking and scientific methods to assess the veracity and efficacy of claims.
Podcast.ai is completely generated by artificial intelligence. Each week they cover a different topic in depth. Listeners have the ability to suggest topics and even host future episodes. This podcast is for you, whether you’re a machine learning enthusiast or just want to hear your favorite topics covered in a new manner. Or even listen to the voices of the past brought back to life.
This podcast will discuss the global implications of technology development and place incremental progress in a wider context. AI is changing the world. Pay attention.
5. The Talking Machines
Talking Machines is a podcast hosted and produced by Katherine Gorman, Neil Lawrence, and Neil Lawrence. This podcast is designed to provide clear conversations with industry experts, useful answers to your queries, and insightful discussions about industry news. Machine learning is changing how we ask questions about the world. Here we discuss how to ask the right questions and what we should do with the answers.
6. Linear Digressions
You may be interested in learning more about the unusual uses of machine learning and data sciences. Your hosts will explore machine learning and data sciences through interesting applications in each episode of linear Digressions. Katie Malone and Ben Jaffe host the show, they are confident that they will produce some of the most innovative additions to the industry, such as AI-driven medical aids, open police data, causal trees, and the grammar of graphics.
7. Practical AI: Machine Learning and Data Science
Artificial intelligence should be practical, efficient, and available to all. Practical AI is an interactive show where technology professionals, students, entrepreneurs, and enthusiasts engage in lively discussions on Artificial Intelligence and related subjects (Machine Learning and Deep Learning), GANs (Generative adversarial network), MLOps(machine learning operation), (machine-learning operations), AIOps and more ).
This show focuses on practical implementations and real-world scenarios that can be used by everyone. This is the show to watch if you want to stay on top of the latest AI developments while still being a part of the real world.
Also read: 20 Best Business Podcasts for Entrepreneurs
8. Data Stories
Enrico Bertini, and Moritz Stefaner, discuss the most recent developments in data visualization and analytics. The Data Stories podcast features regular episodes that cover a variety of topics related to data visualization. It discusses the importance of data stories across many fields, including finance, medicine, computer science, and much more. Enrico and Moritz, podcast hosts, invite industry professionals, experts, and instructors in data visualization, to share their stories and discuss the importance of displaying data visuals in appealing charts and graphs.
9. The Artificial Intelligence Podcast
Tony Hoang hosts the Artificial intelligence podcast. This podcast discusses the most recent innovations in the artificial intelligence and machine learning industry. This podcast’s latest episode discusses Robot dogs, text-to-image generators, and soft robotics. It also includes voice-bot options.
10. Learning Machines 101
Artificial intelligence and machine learning are common in our daily lives. This podcast series is intended to educate students and instructors about the advanced technologies introduced to AI and the following:
- How are these devices used?
- From where do they come?
- How do we make them smarter?
- How can we make them more human-like?