Adventures in Machine Learning

By Top End Devs

Technology Education Business Careers

What's Adventures in Machine Learning about?

Seasoned pro or complete beginner, everyone can join our weekly Adventures in Machine Learning podcast. We're covering all the breakthroughs, influencers, and resources of Machine Learning with our venturesome AI panel and guests. We discuss advanced concepts in plain English. This is the AI podcast you've been looking for.

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LAST EPISODE

Using AI and ML to Help Hum...

05.12.2022

Ben interviews Michael Griffiths, Director of Data Science at ASAPP, a company leveraging AI and ML to augment and automate human work, improve operational efficiencies and customer experiences, and ultimately empower people to be their best. Michael shares specific examples ...

Adventures in Machine Learning episodes:

05.12.2022 Using AI and ML to Help Humans, Not Replace Them - ML 071 Ben interviews Michael Griffiths, Director of Data Science at ASAPP, a company leveraging AI and ML to augment and automate human work, improve operational efficiencies and customer experiences, and ultimately empower people to be their best. Michael shares specific examples ...
05.04.2022 AutoML Discovery and Approach - ML 070 AutoML (automated machine learning) has become a hot topic over the past few years. Abid Ali Awan joins the show to share his approach to AutoML, when and how to utilize it compared to classic approaches. Ben and Abid also ...
04.28.2022 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 and advanced cognitive computing-based video processing ...
04.21.2022 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 interact with to strengthen ...
04.07.2022 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 in multiple fields, including the stock market. In ...
03.17.2022 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 concepts for kids to foster ...
03.09.2022 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 their communication and build solid business infrastructure. “I ...
03.03.2022 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 our data. ...
02.24.2022 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 conduct effective tests and never make past mistakes ...
02.18.2022 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, the do’s and don’ts ...
02.10.2022 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 more accurate. They discuss how to ...
02.03.2022 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 that you should know this year, the ...
01.27.2022 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 the development team of MLflow, an open-source ...
01.20.2022 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 researchers that reveals a LOT ...
01.06.2022 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 game. The two emphasize what your FIRST step ...
12.16.2021 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 together and how to use it. Panel ...
12.14.2021 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 he shares his expertise with Chuck and the ...
12.02.2021 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 Learning engineers can use their expertise to build engines ...
11.25.2021 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 to get our minds into that focused ...
11.18.2021 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 qualifications people should have, algorithms, and approaches to machine learning along with ...
11.11.2021 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 setup. Panel Ben WilsonCharles Max Wood ...
11.04.2021 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 statistical data and how to identify trends in the data. ...
10.28.2021 Testing Your MLOps - ML 051 The panel jumps in to attempt to break your mental build regarding testing your ML Ops. They advocate for good testing practices around your code and systems and discuss how you can reliable test the various parts of your applications ...
10.21.2021 Deploying Your Machine Learning Models with FastAPI ft. Ahmad Mustafa Anis - ML 050 Ahmad Mustafa Anis joins the adventure to discuss how he deploys his Machine Learning models using FastAPI. FastAPI is a system for connecting and running Python programs. If your model is built in Python, you can use FastAPI to deploy ...
10.14.2021 Monitoring and Evaluating Data Sets ft. Emeli Dral and Elena Samuylova - ML 049 Emeli Dral and Elena Samuylova joins the Adventure to discuss the tools they have built to monitor data quality to determine where data problems occur, what they mean, and how to fix them. Panel Ben WilsonFrancois Bertrand Guest Elena SamuylovaEmeli ...
10.07.2021 The MLOps Community with Demetrios Brinkmann - ML048 Demetrios Brinkmann joins the adventure to discuss how he build and supports the MLOps Slack community and online meetups. He goes into the community, moderation, running meetups, sponsorships, and much more. Panel Ben WilsonCharles Max WoodFrancois Bertrand Guest Demetrios Brinkmann ...
09.30.2021 How to Build and Organize Production ML Solutions ft. Conor Murphy - ML 047 Conor Murphy joins the adventure to explain how he approaches new problems from customers at databricks and how he helps customers see their way past issues with their current solutions to get the outcomes they want. Panel Ben WilsonCharles Max ...
09.23.2021 Using AI to Make the LifeCycle of Software Development Easier ft. Antonio Alegria - ML 046 Antonio Alegria is the head of AI at Outsystems. He leads the effort to find ways to use AI to augment people's experience building software. He joins in to talk about how Outsystems approaches exploring and implementing AI to make ...
09.22.2021 Using AI to Make the LifeCycle of Software Development Easier ft. Antonio Alegria - ML 046 Antonio Alegria is the head of AI at Outsystems. He leads the effort to find ways to use AI to augment people's experience building software. He joins in to talk about how Outsystems approaches exploring and implementing AI to make ...
09.16.2021 Multi-modal AI and Machine Teaching ft. Slater Victoroff - ML 045 Slater Victoroff joins the Adventure to discuss mutli-modal AI and machine teaching with the panel. He starts out explaining what multi-modal AI is and how it works. The conversation goes deep before veering into Machine Teaching. Panel Ben WilsonFrancois Bertrand ...
09.03.2021 How to Launch the Next Stage of Your Career - BONUS Charles Max Wood explains how podcasting has repeatedly opened up opportunities for him to move his career forward. He dives into how it helped early in his career, how he was able to use it as a tool to find ...
09.02.2021 AI Assisted Development ft. Sydney Lai - ML 044 Sydney Lai joins the Adventure to discuss how she and her colleagues build AI assisted features for developers and how that they handle scenarios that they can't always plan for. Panel Ben WilsonCharles Max Wood Guest Sydney Lai Sponsors Dev ...
08.26.2021 Data + ML: What Could Go Wrong? ft. Sandeep Uttamchandani - ML 043 Sandeep Uttamchandani joins the Adventure to discuss the relationships between Data Science and Machine Learning. He walks through the ways you should set up, manage, and consider the data you use to build and train your Machine Learning systems to ...
08.19.2021 From Software Engineer to Data Engineer ft. Alexey Grigorev - ML 042 Alexey Grigorev joins the Adventure to discuss how software engineers can begin making the transition from Software Engineer to Data Scientist in their career. Ben Wilson also gets asked about this frequently and chimes in with his experience. Panel Charles ...
08.13.2021 Don't Follow the Default Developer Career Path - BONUS Charles Max Wood explains the default path that developers seem to follow in their career and why that doesn't give developers the fulfillment they're looking for. He then walks through some of the options to change the direction of your ...
08.12.2021 Writing Production Code for ML ft. Ken Youens-Clark - ML 041 Ken Youens-Clark joins the adventure to discuss how to write well factored code with tests to help ML be more approachable. He, Ben, and Chuck discuss what it takes to write good code that runs efficiently, is easy to maintain, ...
08.05.2021 Machine Learning for Tabular Data in Practice ft. Mark Ryan - ML 040 Mark Ryan is our first returning guest to the Adventure. He has created a video series for Manning showing how to use Machine Learning for Tabular data. He walks Ben Wilson through the ins and outs of applying Deep Learning ...
07.29.2021 Episode 57: Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039 Ekrem Aksoy joins the adventure to discuss transformers and the method of helping Machine Learning algorithms focus on the important parts of an image to determine what to do. Panel Ben Wilson Charles Max Wood Daniel Svoboda Francois Bertrand Guest ...
07.22.2021 Episode 56: Mentorship in Machine Learning - ML 038 Ben Wilson explains the recent developments at DataBricks with their Machine Learning mentorship program for some of their experts. He talks about his approach to helping the Data Scientists and Developers he's mentoring to understand Machine Learning more deeply and ...
07.13.2021 Episode 55: Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037 Laszlo Sragner joins the adventure to discuss how to make your machine learning approach production ready. The discussion ranges through code quality and how to build and manage your models to keep them production ready and delivering the outcomes you're ...
07.08.2021 Episode 54: Data Pipelines with Metaflow featuring Ville Tuulos - ML 036 Ville Tuulos is a former Netflix data scientist and engineer who now helps people manage their data pipelines. He's the author of Effective Data Science Infrastructure from Manning publishing and the creator of the Metaflow system for managing data pipelines. ...
07.01.2021 Episode 53: Machine Learning: More than Just an Algorithm - ML 035 The conversation starts out asking what’s coming down the pipeline for the Machine Learning community. Ben explains why it’s hard to predict and leads the conversation into what the challenges really are in Machine Learning and the movements across the ...
06.24.2021 Episode 52: How to Get Started in Machine Learning - ML 034 In this episode, Ben, Francois and Chuck talk about the skills and knowledge that will help you get started with machine learning. Ben outlines 3 different things that will get you started faster than anything else. Francois and Chuck add ...
06.17.2021 Episode 51: Scaling video processing with Deep Learning - ML 033 In this episode we talk with Serhii Maksymenko about how to scale video processing with DL frameworks. From buffered asynchronous processing to how to get started with projects of this complexity, Serhii discusses his project work and unique take on ...
06.04.2021 Episode 50: The 3 Essentials for Successful Job Outcomes - BONUS Chuck dives into the 3 essentials for getting the next successful outcome you want in your career. Whether that's something simple like a raise or something more complex like going freelance, you can achieve it by working on 3 main ...
06.03.2021 Episode 49: The 3 Essentials for Successful Job Outcomes - BONUS Chuck dives into the 3 essentials for getting the next successful outcome you want in your career. Whether that's something simple like a raise or something more complex like going freelance, you can achieve it by working on 3 main ...
05.28.2021 Episode 48: How to Get Hired at a FANG Company - BONUS Chuck explains what he taught Nathan last week when we asked how to get hired at a FANG (Facebook Apple/Amazon Netflix Google) company. Essentially, it boils down to how to build the skills and knowledge needed to pass the interview. ...
05.27.2021 Episode 47: Parallelizing Model Training with Michael Galarnyk - ML 032 Michael Galarnyk is a Developer Relations at AnyScale and has nearly 10,000 follows on Medium. He joins the adventure to walk Chuck through how he's parallelized the training of his Machine Learning models on multi-core machines. He also walks Chuck ...
05.20.2021 Episode 46: The Best Machine Learning Frameworks and Tensorflow Extensions with Derrick Mwiti - ML 031 Derrick Mwiti joins the adventure to discuss the various tools you can use to jumpstart your Machine Learning adventure. He walks through several frameworks for Machine Learning and points out several Tensorflow extensions that will make your Machine Learning models ...
05.13.2021 Episode 45: Automated Machine Learning with Qingquan Song - ML 030 Qingquan Song is a member of the AutoKeras team and recent Phd graduate from Texas A&M; University. He co-authored the Automated Machine Learning book from Manning publishing and joins the adventure to explain automated machine learning and how it can ...

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