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Adventures in Machine Learning - Podcast

Adventures in Machine Learning

 Charles M Wood

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.

Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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Update frequency
every 9 days
Average duration
53 minutes
Episodes
209
Years Active
2020 - 2025
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Where ML and DevOps Meet - ML 108

Where ML and DevOps Meet - ML 108

Hosts of the Adventures in DevOps podcast, Jillian Rowe and Jonathan Hall, join Ben and Michael on this week's episode crossover. They talk about the intersection of ML and DevOps. They dive into the…
01:05:13  |   Fri 17 Mar 2023
How Does ChatGPT Work? - ML 107

How Does ChatGPT Work? - ML 107

ChatGPT is the most robust free chatbot. It can answer questions, write code, and summarize text. Today we will talk about the creation of ChatGPT, its implications for society, and how the model act…
00:48:20  |   Fri 10 Mar 2023
Machine Learning for Movie Scripts - ML 106

Machine Learning for Movie Scripts - ML 106

Today we look at an applied use case for ML: parsing movie scripts. Expect to learn about bringing ML to new industries, the future of Large Language Models (LLM), and automation in the movie industr…
00:45:37  |   Fri 03 Mar 2023
ChatGPT and the Divine - ML 105

ChatGPT and the Divine - ML 105

"Any sufficiently advanced technology is indistinguishable from magic." Today, Michael and Ben talk about the broad implications of ChatGPT and similar algorithms. Expect to learn about...
  • The differe…
00:51:35  |   Thu 23 Feb 2023
Deep Learning for Tabular and Time Series Data - ML 104

Deep Learning for Tabular and Time Series Data - ML 104

Today we speak with a staff data scientist at Walmart who specializes in forecasting. He has built an open-source tool that allows you to leverage tabular data in PyTorch. He also has written a book …
01:08:34  |   Thu 16 Feb 2023
Notebooks vs. IDEs With Fabian Jakobs - ML 103

Notebooks vs. IDEs With Fabian Jakobs - ML 103

How do you develop ML code? Do you use notebooks or do you use IDEs? In this episode, we get some practical advice from both Ben and our guest on leveraging software principles to write better code i…
00:45:34  |   Thu 09 Feb 2023
How to think about Optimization - ML 102

How to think about Optimization - ML 102

In this week's episode, we meet with Micheal McCourt, the head of engineering at SigOpt. He is an industry expert on optimization algorithms, so expect to learn about constraint-active search, SigOpt…
00:50:02  |   Fri 03 Feb 2023
Protecting Your ML From Phishing And Hackers - ML 101

Protecting Your ML From Phishing And Hackers - ML 101

Have you ever wondered how to secure a cloud deployment? Well, today we talk to the president at a cloud security company about personal security, detecting malicious actors, startup trends, and much…
00:41:49  |   Fri 27 Jan 2023
The Disruptive Power of Artificial Intelligence - ML 100

The Disruptive Power of Artificial Intelligence - ML 100

Have you ever wondered about the most promising industries in Machine Learning? Today we will learn from Avi Goldfarb, the chair of AI at the University of Toronto, about...
  • The most promising AI indu…
01:00:51  |   Thu 19 Jan 2023
A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099

A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099

In this episode, Ben talks with Rosaria Silipo, a Software Engineer and Developer Relations advocate at Knime. They discuss the benefits of low-code ML, delve into the history of ML development work …
01:12:17  |   Fri 06 Jan 2023
Moving from Dev Notebooks to Production Code - ML 098

Moving from Dev Notebooks to Production Code - ML 098

In this week's episode we meet with Mike Arov, committer to the MLOps tool framework lineapy. From the benefits of notebooks as development tooling for Data Science work to the complex refactoring ne…
01:11:12  |   Thu 22 Dec 2022
How to Edit and Contribute to Existing Code Base - ML 097

How to Edit and Contribute to Existing Code Base - ML 097

Let's be honest. We've all copied and pasted code from the internet. 
There are many great code sources and in this episode, Ben and Michael discuss how to leverage existing code. They explain how to …
00:54:34  |   Thu 15 Dec 2022
MLflow 2.0 And How Large-Scale Projects Are Managed In The Open Source - ML 096

MLflow 2.0 And How Large-Scale Projects Are Managed In The Open Source - ML 096

Corey Zumar talks about the new release of MLflow, 2.0, and what the new major features that are included in the release. Bilal and Corey then discuss managing feature implementation priorities, and …
00:49:06  |   Thu 01 Dec 2022
Should you Context Switch when Writing Code? - ML 095

Should you Context Switch when Writing Code? - ML 095

Do you multitask? If so, you'll want to check out this episode. We'll cover...

  1. The difference between good and bad context switching
  2. Some personal stories about context switching on projects
  3. Practical t…
00:31:03  |   Thu 24 Nov 2022
How To Recession Proof Your Job - BONUS

How To Recession Proof Your Job - BONUS

Get the Black Friday/Cyber Monday "Focus Blocks Bundle" Deal Coupon Code: "THRIVE" for a GIANT discount   Are you looking at all the layoffs and uncertainty going on and wondering if your company is …
01:12:25  |   Thu 24 Nov 2022
Important Questions To Ask When Scoping ML Projects - ML 094

Important Questions To Ask When Scoping ML Projects - ML 094

Have you ever wondered how to prioritize your ML projects? Today we will talk about...

  1. The difference between applied ML and ML frameworks
  2. How to effectively scope projects via Heilmeier's Catechism


Sp…
00:47:48  |   Thu 17 Nov 2022
How To Do Research Spikes - ML 093

How To Do Research Spikes - ML 093

Have you ever wondered how to efficiently learn topics? In this episode, we discuss how to conduct a research spike within an ML team setting.

Sponsors
00:46:59  |   Thu 10 Nov 2022
How to Simplify Data Science with DagsHub Founders - ML 092

How to Simplify Data Science with DagsHub Founders - ML 092

Have you ever wondered why data science is hard? Well, in this episode we cover some common data science challenges and how the founders of DagsHub are looking to solve them. 

Sponsors
00:48:03  |   Thu 27 Oct 2022
How to Test ML Code - ML 091

How to Test ML Code - ML 091

In this show, we cover some practical tips for writing reliable ML code. Here are some of the questions we look to answer...

  1. What are tests and why should you use them?
  2. What's the difference between un…
00:44:33  |   Thu 20 Oct 2022
AGI, Neuron Simulators, and More with Charles Simon - ML 090

AGI, Neuron Simulators, and More with Charles Simon - ML 090

Charles Simon, BSEE, MSCs is a nationally recognized entrepreneur and software developer who has many years of computer experience in industry including pioneering work in artificial intelligence (AI…
01:04:08  |   Thu 06 Oct 2022
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