Listen Score
LS 28
Global Rank
TOP 10%

ABOUT THIS PODCAST 🔗

Update frequency:
every 10 days
Average audio length:
53 minutes
Guest interviews
Has sponsors
English
United States
209 episodes
since Sept. 8, 2020
episodic
explicit content

AUDIENCE OF THIS PODCAST 🔗

~76.14% of listeners are from United States.
🇺🇸
US
76.14%
🇸🇬
SG
7.36%
🇮🇳
IN
4.91%
🇳🇴
NO
1.40%
🇬🇧
GB
1.40%
🇽🇰
XK
1.05%
🇫🇮
FI
0.70%
🇵🇱
PL
0.70%
🇦🇺
AU
0.70%
🇹🇼
TW
0.70%
🇵🇭
PH
0.70%
🇩🇪
DE
0.70%
🇺🇦
UA
0.35%
🇲🇽
MX
0.35%
🇯🇵
JP
0.35%
🇫🇷
FR
0.35%
🇹🇭
TH
0.35%
🇭🇺
HU
0.35%
🇵🇹
PT
0.35%
🇪🇪
EE
0.35%
🇬🇷
GR
0.35%
🇷🇴
RO
0.35%
Others
0.04%
* Data source: directly measured on Listen Notes. real-time

LATEST EPISODE 🔗

In this episode, we dive deep into the evolving landscape of digital marketing and brand storytelling. We explore how the intersection of authenticity, community, and technology is reshaping how brands connect with people—and why it's no longer just about the product, but about the experience.We ta…

SEARCH PAST EPISODES

Search past episodes of Adventures in Machine Learning.

PREVIOUS EPISODES

Welcome back to another episode of Adventures in Machine Learning, where hosts Michael Berk and Ben Wilson delve into the intricate process of implementing model serving solutions. In this episode, they explore a detailed case study focused on enhancing search functionality with a particular emphas…
Welcome to another insightful episode of Top End Devs, where we delve into the fascinating world of machine learning and data science. In this episode, host Charles Max Wood is joined by special guest Pierpaolo Hipolito, a data scientist at the SAS Institute in the UK. Together, they explore the in…
What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of…
Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup.Links How to Find Weaknesses in your Machine Learning Models LinkedIn: Michael Berk Michael Berk…
In today's episode, we dive into the critical decision-making process of building versus buying technology solutions, especially when it comes to agentic logic-based frameworks. With the industry still in its early stages, I recommend waiting for managed solutions to mature, while Ben suggests the …
Peter Elger and Eóin Shanaghy join Charles Max Wood to dive into what Artificial Intelligence and Machine Learning related services are available for people to use. Peter and Eóin are experts in AWS and explain what is provided in its services, but easily extrapolate to other clouds. If you're tryi…
In this episode, Ben and Michael explore burnout, particularly in machine learning and data science. They highlight that burnout stems from exhaustion, cynicism, and inefficiency and can be caused by repetitive tasks, overwhelming workloads, or being in the wrong role. They also tackle strategies t…
Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types of algorithms based on different natural systems and processes.Links Kaggle: Your Machine Learning …
In today’s episode, Michael and Ben are joined by industry expert Barzan Mozafari, the CEO and co-founder at Keebo. He delves deep into the evolving landscape of data learning and cloud optimization. They explore how understanding data distribution can lead to early detection of anomalies and how o…
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