
Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exerc... more
| Publishes | Daily | Episodes | 60 | Founded | 9 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | EducationTechnologyCourses | |||

ML engineering demand remains high with a 3.2 to 1 job-to-candidate ratio, but entry-level hiring is collapsing as AI automates routine programming and data tasks. Career longevity requires shifting from model training to production operations, deep ... more
OpenClaw is a self-hosted AI agent daemon that executes autonomous tasks through messaging apps like WhatsApp and Telegram using persistent memory. It integrates with Claude Code to enable software development and administrative automation directly f... more
AI agents differ from chatbots by pursuing autonomous goals through the ReACT loop rather than responding to turn-based prompts. While coding agents are currently the most reliable due to verifiable feedback loops, the market is expanding into deskto... more
How to maintain character consistency, style consistency, etc in an AI video. Prosumers can use Google Veo 3's "High-Quality Chaining" for fast social media content. Indie filmmakers can achieve narrative consistency by combining Midjourney V7 for st... more
People also subscribe to these shows.





I've listened to all 27 ML Applied and 36 ML Guide episodes. Very helpful, great explanations. I hope their are more episodes in the future.
The thing I love is the mental exercise you give me every episode. Having to imagine the charts and numbers and sheets makes my dog walking very productive and relaxing. I feel like my brain is burning 😂
Provides clarity for beginners! Good starting point to dive into AI / ML.
So glad you come back with new podcasts! You are very good teacher, thanks for sharing your knowledges
The host’s purpose with this show is the *intuition* of machine learning and it is exactly as intended and what I was looking for. As someone who is just needing an introduction and not to be bogged down with gritty details, much of the common threads are touched on briefly and clearly with no jargon to stumble on that has not been predefined.
Great show! You have a gift!
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #209 | |
Apple Podcasts | #187 | |
Apple Podcasts | #195 | |
Apple Podcasts | #155 | |
Apple Podcasts | #222 | |
Apple Podcasts | #250 |
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
The content focuses on the foundational aspects of machine learning and artificial intelligence, emphasizing both theory and practical applications. It covers various topics, including core machine learning concepts, different models used in the field, programming languages, and popular frameworks. The approach is designed to be accessible for beginners while also providing depth for those with more experience. Each episode is complemented by curated resources that enrich the learning experience, making it suitable not just for the technically inclined but also for curious learners. The format lends itself well to multitasking, allowing listeners to absorb complex subject matter during everyday activities like exercising or commuting.
Rephonic provides a wide range of podcast stats for Machine Learning Guide. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Machine Learning Guide and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Machine Learning Guide, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for Machine Learning Guide, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers Machine Learning Guide has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
These podcasts share a similar audience with Machine Learning Guide:
1. Practical AI
2. Dwarkesh Podcast
3. Google DeepMind: The Podcast
4. The AI Daily Brief: Artificial Intelligence News and Analysis
5. The a16z Show
Machine Learning Guide launched 9 years ago and published 60 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for Machine Learning Guide from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of Machine Learning Guide. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
Recent guests on Machine Learning Guide include:
1. TJ Wilder
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.