Adventures in Machine Learning
Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.
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- Update frequency
- every 9 days
- Average duration
- 53 minutes
- Episodes
- 209
- Years Active
- 2020 - 2025
For Sports and Beyond: Robotics and Advanced Cognitive Computing-Based Video Processing Algorithms - ML 069
Video is considered the most complicated data to process and the volumes of video production are growing from day to day. Ben and Michael talk with Oleg and Anastasiya about how to leverage robotics …
00:50:49 |
Thu 28 Apr 2022
How to Beef Up Your Resume - ML 068
Michael and Ben talk about how to pick extra projects to build up your resume and become recognized as more of an expert. They discuss the specific ways to contribute within the community and who to…
00:50:12 |
Thu 21 Apr 2022
Training Bots, The Stock Market, and Hypotheticals - ML 067
Machine learning is getting bigger by the second, so it’s good to know how to leverage it. In this episode, Michael asks Ben hypothetical questions around how to effectively deploy machine learning i…
00:49:32 |
Thu 07 Apr 2022
How to Teach Kids Science with Kathryn Hulick - ML 066
What happens when you teach ML and data science to kids? You learn a whole lot, too. In this episode, Ben and Michael sit down with Kathryn, a prolific writer and author who simplifies advanced conce…
00:17:43 |
Thu 17 Mar 2022
Business Infrastructure in ML with Joe Reis - ML 065
Even an amazing algorithm can’t fix communication problems. In this episode, Ben and Michael sit down with Joe Reis, a data scientist and ML developer who’s passionate about helping people level up t…
01:00:13 |
Wed 09 Mar 2022
Data Feeds and KDNuggets with Maria Zentsova - ML 064
Ever feel like you can’t see the forest through the trees? We get it. In this episode, Michael sits down with Maria Zentsova, an ML developer and data analyst who teaches us how to get a handle on ou…
00:41:47 |
Thu 03 Mar 2022
Rethinking ML Monitoring Part 2 - ML 063
In this episode, Ben and Michael cover more of Shreya Shankar’s deep dive into ML monitoring, including the biggest production challenges, what you NEED to know about adversarial attacks, and how to …
00:54:57 |
Thu 24 Feb 2022
How To Do Post-Production with Abhilash Pattnaik - ML 062
If you’re feeling a little nervous about your baby leaving the nest, we get it. In this episode, Ben and Daniel talk with Abhilash Pattnaik, where they discuss the ONE fact about ML you can’t forget,…
00:41:16 |
Fri 18 Feb 2022
Accurate Predictive Modeling with Maarit Widmann - ML 061
Ready to dive DEEP into predictive modeling? You’ve come to the right podcast. In this episode, Ben and Michael sit down with Maarit Widmann, a data scientist whose bread and butter is making models …
00:44:18 |
Thu 10 Feb 2022
Rethinking ML Monitoring - ML 060
Mo’ advancements mean mo’ problems, and today, Michael and Ben are diving into the biggest issues of ML monitoring in 2022. They lay out the ELEVEN (cause nothing good comes easy) potential pitfalls …
00:35:48 |
Thu 03 Feb 2022
Solving the Real Issues with the MLflow Team - ML 059
If you’re looking for a team that actually cares about the issues you’re facing, look no further than Databricks, and they’ve got something exciting out. In this episode, Michael and Ben welcome on t…
00:48:35 |
Thu 27 Jan 2022
Cows, Camels, and the Human Brain - ML 058
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 research…
00:44:39 |
Thu 20 Jan 2022
Business Objectives and KPIs with Michael Berk
Want to know how businesses are measuring their success nowadays? In this episode, Ben talks with Michael Berk about how businesses are leveraging numerous performance metrics to stay on top of their…
00:42:48 |
Thu 06 Jan 2022
Prediction Intervals - ML 056
Michael and Ben talk about Prediction Intervals. They discuss how to put intervals around your predictions and then aiming for a certain level of confidence. Michael and Ben discuss how to put it t…
00:34:55 |
Thu 16 Dec 2021
3 Fundamental Pillars You Need to Succeed as an Entrepreneur - BONUS
Get Lifetime Access to Mani's Entrepreneurship Pack and Book Club. Use coupon code "GREAT" Mani has summarized hundreds of business books that outline how to build, grow, and operate a business and …
01:05:08 |
Tue 14 Dec 2021
How to Integrate ML and Data Science Systems to Web and Mobile Apps - ML 055
Ben and Chuck put their areas of expertise together to discuss how you could build Machine Learning into web and mobile applications. They discuss the various ways data scientists and Machine Le…
01:01:55 |
Thu 02 Dec 2021
BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working
Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal
Coupon Code: "DEEP" for a GIANT discount Mani provides us with strategies and tactics to get Deep Work time and how t…
Coupon Code: "DEEP" for a GIANT discount Mani provides us with strategies and tactics to get Deep Work time and how t…
00:47:23 |
Thu 25 Nov 2021
Tools, Tricks, and Learning in Machine Learning ft. Aliaksei Mikhailiuk - ML 054
Aliaksei Mikhailiuk joins the Adventure to discuss the tools he wishes he'd mastered before getting his PhD in Machine Learning. However, the conversation meanders through his background, what q…
00:55:30 |
Thu 18 Nov 2021
A/B Testing with ML ft. Michael Berk - ML 053
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 set…
00:48:44 |
Thu 11 Nov 2021
Data Paradoxes in Data Sets with Pier Paolo Ippolito - ML 052
Pier Paolo Ippolito joins the adventure to discuss some of the paradoxes or counterintuitive generalizations people make about their datasets. Ben, Chuck, and Pier dive into how to look at statistica…
00:58:24 |
Thu 04 Nov 2021
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