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Artwork for Building Things with Machine Learning
Tech · AI

How to get on Building Things with Machine Learning

Hosted by Yaoshiang ho.

Show website ↗ Listen on Apple ↗

Should you pitch it?

Guest activity
Often has guests
57% of recent episode titles look like interviews
Episode length
30 min
Median of recent episodes. That is the commitment you would be asking for.
Publishing
Dormant
7 episodes · last 2025-10-31
Language
English
The feed says "en" without a region, so the country is unknown.
Where it's from
Not established
No .uk domain and no region in the feed language. Apple reports the storefront, not the show, so we do not guess.
Reach
2
Percentile among shows you could realistically get on. Not a download count.
Check whether they charge. Some shows sell guest slots rather than booking them, and rates in some fields run to thousands. Nothing in a podcast feed reliably says so, so we do not claim either way. Ask before you write the pitch.
Worth a pitch. This show publishes its own contact, sits outside the national chart, is independently published, and its recent episodes show it books guests.

How this show compares to other tech ai podcasts

It publishes less often than most Tech AI shows, so expect a longer lead time and fewer available slots.

Measured against every tech ai podcast in the directory that has published in the last year.

This show Category average
Episodes featuring a guest 57% 15%
Episodes in the last 90 days 0 14
Typical episode length 30 min 31 min
Episodes published in total 7 155
Reach percentile 2 50

Reach is a percentile among shows you could realistically get booked on, built from chart history, longevity, activity and cadence. It is not a download figure. Nobody outside a show can see those.

What the show says about itself

In each episode, we interview people who are building really interesting products using machine learning. Our focus is really on applications , like Medical diagnostics, Autonomous vehicles & advanced driver assistance systems (ADAS), Geospatial analytics, Content analysis, Manufacturing, Logistics, where you find a lot of robotics, and AEC, Architecture / Engineering / Construction. If you are interested in applying machine learning to real world problems, this is the podcast for you.

Recent episodes

Straight from the feed. The quickest way to judge whether your angle fits.

  1. Ep 6: Extracting Data from Old Documents with Rosa Lin, Founder, Tolstoy
  2. Ep 5: Discovering Pharmaceuticals with Machine Learning, with Ryan Emerson of A-Alpha Bio
  3. Ep 4: ROI from ML at "Reasonable Scale" E-Commerce Companies with Ciro Greco
  4. Ep 3: Applying ML to Cybersecurity, with Yihua Liao
  5. Ep 2: Tedd Mann @ CollX
  6. Ep 1: Tom Rikert @ Masterful AI
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Similar podcasts

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Technology · 798 episodes Closest match OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips Technology · 200 episodes Closest match Data Science In Production Technology · 6 episodes Closest match Convergence.fm business · 94 episodes Closest match Estonian General Intelligence technology · 11 episodes Closest match Satellite image deep learning technology · 47 episodes Closest match

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Common questions

Does Building Things with Machine Learning accept guests?

Often has guests. This show interviews people regularly. This is our reading of the show's recent episode titles, not a statement from the show itself.

How do I contact Building Things with Machine Learning?

Yes. Building Things with Machine Learning publishes a contact address in its own RSS feed, and it is the show's own inbox rather than a shared network desk. We hold it and release it to people on a plan. We never invent an address and never send a pitch on your behalf.

How often does Building Things with Machine Learning publish?

It has not published in a long time, so there is no current schedule. There are 7 episodes in the feed. Episodes run about 30 minutes.

Is Building Things with Machine Learning still active?

Yes. It has published within the last year.