Adventures in Machine Learning

By Ben Wilson, Michael Berk

Technology Education Business Careers

What's Adventures in Machine Learning about?

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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Protecting Your ML From Phi...

01.27.2023

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 more! SponsorsChuck's Resume TemplateDeveloper Book Club starting with ...

Adventures in Machine Learning episodes:

01.27.2023 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 more! SponsorsChuck's Resume TemplateDeveloper Book Club starting with ...
01.19.2023 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 industriesPotential problems with powerful AIThe economics behind ...
01.06.2023 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 as it has changed over the past few ...
12.22.2022 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 needed to convert them to production-capable code bases, ...
12.15.2022 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 understand a code base and ...
12.01.2022 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 selling large-scale project ideas to internal customers, end-users, ...
11.24.2022 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 the next to cut back? Or, maybe ...
11.24.2022 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... The difference between good and bad context switching Some personal stories about context switching on projects Practical tips you can leverage to improve your productivity Sponsors ...
11.17.2022 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... The difference between applied ML and ML frameworks How to effectively scope projects via Heilmeier's Catechism Sponsors Chuck's Resume Template Developer Book Club starting with ...
11.10.2022 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 Chuck's Resume Template Developer Book Club starting with Clean Architecture by Robert C. Martin ...
11.10.2022 Should you Context Switch when Writing Code? - ML 093 Do you multitask? If so, you'll want to check out this episode. We'll cover... The difference between good and bad context switching Some personal stories about context switching on projects Practical tips you can leverage to improve your productivity Sponsors ...
10.27.2022 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 Top End Devs Coaching \| Top End Devs ...
10.20.2022 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... What are tests and why should you use them? What's the difference between unit tests and integration ...
10.06.2022 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). Mr. Simon's technical experience includes the creation of two unique AI systems ...
09.29.2022 Complex ML Models with Data Scientist Fernando Lopez - ML 089 Fernando Lopez joins the show today to share his ML insights with a video interview recruiting platform for candidate hiring. Michael and Ben also deep dive into various related ML models and AI topics. In this episode… Core software engineering ...
09.22.2022 Distributed Time Series in Machine Learning - ML 088 Today the panel discusses high level distributed time series models, using a hot dog stand company as the case study to anchor the understanding with these models. In this episode… Understanding use case ML flow models and events KPI forecasts ...
09.15.2022 Time Series Models in Machine Learning - ML 087 Today on the show, the panel discusses time series models, practical tips and tricks, and shares stories and examples of various models and the processes for optimal application in your ML workflows. In this episode… Ben’s time series model for ...
09.08.2022 Optical Character Recognition (OCR) and Machine Learning with Ahmad Anis - ML 086 Optical character recognition, or OCR for short, is used to describe algorithms and techniques (both electronic and mechanical) to convert images of text to machine-encoded text. Today on the show, Ahmad Anis shares how he applies Machine Learning to OCR ...
08.25.2022 Innovation and AI Strategies with Award Winning Data Science Leader Vidhi Chugh - ML 085 Award winning data evangelist, AI strategist, and innovation leader Vidhi Chugh joins the show today to share her perspective on various topics, including data quality, AI innovation strategies, responsible AI, model intelligence, and much more! In this episode… The importance ...
08.18.2022 Machine Learning on Mobile Devices and More with Aliaksei Mikhailiuk - ML 084 Enjoy this intellectually stimulating conversation with Michael Berk and guest on the show, Aliaksei Mikhailiuk, ML/AI engineer at Snapchat as they discuss everything AI computer graphics to techniques on striking the efficiency-accuracy trade-off for deep neural networks on constrained devices. ...
08.04.2022 Leveling Up in your Data Science Career with Adam Ross Nelson - ML 083 Adam Ross Nelson helps current and aspiring data professionals enter and level up in the field by uncovering and showcasing their existing data-related talents. Today on the show, Michael interviews Adam to share his various strategies and approaches on how ...
07.29.2022 Bioinformatics and Programming with Ken Youens-Clark - ML 082 Michael Berk interviews Ken Youens-Clark today to discuss various topics including bioinformatics and programming, plus his career progressions including jazz drumming, technical writing, programming, academia, writing books, and solutions engineering. In this episode… Writing tests and type annotations Project development ...
07.21.2022 Building AI Data Responsibly with Edouard d’Archimbaud - ML 081 Data excellence is the foundation of better AI. Today on the show, Michael Berk interviews Edouard d’Archimbaud, co-founder of Kili Technology, a Training Data Platform that turns raw, unstructured data to high-quality training data, at scale. Enjoy this engaging conversation ...
07.14.2022 From Golf Instructor to Software Developer: Taking Next Steps in your Career - ML 080 Jesse Langford spent the first half of his career as a golf instructor before pivoting to software engineering. Today on the show, Ben interviews Jesse to learn why and how he made this pivot, plus relevant career advice for all ...
07.07.2022 Hyperparameter Tuning for Machine Learning Models - ML 079 When developing ML models, defining and selecting the model architecture will be fundamental to ensure the best possible outcomes. Parameters that define the model architecture are referred to as hyperparameters and the process of searching for the ideal model architecture ...
06.30.2022 Ask Me Anything (AMA) with Host Ben Wilson - ML 078 Enjoy this engaging AMA conversation with Michael Berk asking Ben Wilson various questions related to industry, strategy, and approaches in data science and ML engineering. In this episode… Why should people trust you? What will you lose by hearing about ...
06.23.2022 Optimizers in Machine Learning, Featuring Maciej Balawejder - ML 077 Ben and Michael interview Maciej Balawejder, a mechanical engineering student passionate about AI, ML, and robotics. As an active contributor on Medium.com, Maciej has already made significant contributions to the AI and ML communities. On the show, they discuss Maciej’s ...
06.16.2022 Part 2: Exploratory Data Analysis (EDA) Next Steps - ML 076 After ensuring your data has surpassed the hyper parameter tuning phase, what is the next step in your EDA protocol? Today on the show, Ben and Michael continue the discussion on EDA methodology within Machine Learning and discuss linear regression ...
06.09.2022 Exploratory Data Analysis (EDA) in Machine Learning - ML 075 EDA is primarily used in machine learning to see what data can reveal beyond the formal modeling or hypothesis testing task and provides a better understanding of data set variables and the relationships between them. It can also help determine ...
06.02.2022 Apache Spark (Pt. 2): MLlib - ML 074 MLlib is Apache Spark's scalable machine learning library. Today, Ben and Michael discuss the ease of use, performance, algorithms, and utilities included in this library and how to execute the best ML workflow with MLlib. In this episode... Why stick ...
05.26.2022 Apache Spark Integration and Platform Execution for ML - ML 073 Apache Spark is a lightning-fast unified analytics engine for large-scale data processing and machine learning. In this episode, Ben and Michael unpack Spark by ping-ponging questions and answers, supplemented by various examples applicable to machine learning workflows. In this Episode… ...
05.18.2022 Two Case Studies: Production ML infrastructure and Recommendation Engines - ML 072 Ben and Michael walk through two different cases studies relative to production ML infrastructure and recommendation engines. The first is about a free on-line tutoring service for underserved communities called “Learn to Be”, and the second centers around the online ...
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 ...

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