Charles M Wood
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. Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .
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Episodes
Writing Production Code for ML ft. Ken Youens-Clark - ML 041 12.08.2021 1:09:31
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, and still get ML work done. Panel Ben Wilson Charles Max Wood Guest Ken Youens-Clark Links GitHub: Ken Youens-Clark ( kyclark ) Twitter: Ken Youens-Clark ( @kycl4rk ) Picks...
Machine Learning for Tabular Data in Practice ft. Mark Ryan - ML 040 05.08.2021 49:06
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 to tabular data sets and the how to find instances where this practice might be the right solution. Panel Ben Wilson Guest Mark Ryan Sponsors Dev Influencers Accelerator Links...
Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039 29.07.2021 1:01:43
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 Ekrem Aksoy Sponsors Dev Influencers Accelerator Links Attention to Transformers Attention in the Human Brain and Its Applications in ML See, Attend an...
Mentorship in Machine Learning - ML 038 22.07.2021 1:05:32
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 gives advice on how others could and should drive their career forward with Machine Learning. Panel Ben Wilson Charles Max Wood Dani...
Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037 13.07.2021 59:04
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 looking for. Panel Ben Wilson Charles Max Wood Francois Bertrand Guest Laszlo Sragner Sponsors Dev Influencers Accelerator Links Laszlo's Newslet...
Data Pipelines with Metaflow featuring Ville Tuulos - ML 036 08.07.2021 55:02
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. He explains how to think about data and how to plan out how to gather, manage, and transform your data using a system like Metaflow. Panel B...
Machine Learning: More than Just an Algorithm - ML 035 01.07.2021 52:35
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 field to make it more clear on how to get value from your ML setup. Panel Ben Wilson Charles Max Wood Francois Bertrand Sponsors Dev Influencers Ac...
How to Get Started in Machine Learning - ML 034 24.06.2021 51:22
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 a couple more things and they discuss the best ways to implement each one of these skills or tactics to become a top notch Machine Learning Engineer. Panel Ben W...
Scaling video processing with Deep Learning - ML 033 17.06.2021 53:53
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 how to build these systems without breaking the bank. Panel Ben Wilson Charles Max Wood Francois Bertrand Guest Serhii Maksymenko Sponsors Dev Influe...
The 3 Essentials for Successful Job Outcomes - BONUS 04.06.2021 35:25
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 areas. First, building skills. The most obvious type of skills you'll need is technical skills. However, don't neglect your people skills and your organizational skills...
The 3 Essentials for Successful Job Outcomes - BONUS 03.06.2021 37:43
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 areas. First, building skills. The most obvious type of skills you'll need is technical skills. However, don't neglect your people skills and your organizational skills...
How to Get Hired at a FANG Company - BONUS 28.05.2021 22:26
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. How to build the relationships to get into the door and have the interviewer want you to succeed. And how to build the reputation that has the company wanting you reg...
Parallelizing Model Training with Michael Galarnyk - ML 032 27.05.2021 35:52
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 through the ins and outs of being in Developer Relations. Panel Charles Max Wood Guest Michael Galarnyk Sponsors Dev Influencers Accelerator Links Spe...
The Best Machine Learning Frameworks and Tensorflow Extensions with Derrick Mwiti - ML 031 20.05.2021 37:36
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 better and your understanding of what is going on easier. He and Chuck walk through each one and highlight when and why you'd want to...
Automated Machine Learning with Qingquan Song - ML 030 13.05.2021 48:05
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 be used to set up and to refine machine learning models. He also dives into how to use the tools that exist to take advantage of the techniques i...
Becoming the Go-To Person in Your Technology Area - BONUS 07.05.2021 16:33
Chuck was on a strategic call with one of his potential coaching clients talking about cryptocurrencies and realized that this is one of the major reasons that people want to become influencers. Or, rather, that many people aspire to make a difference and/or make money and the best way to do that is to become the person people go to for what you do. So, how do you become the first person people th...
Machine Learning for the Mars Rover with Annie Didier - ML 029 06.05.2021 51:59
Annie Didier from NASA’s Jet Propulsion Lab talks to us about the Machine Learning algorithms and process that goes into how the next Mars rover will choose how it moves across the surface of Mars. She explains each algorithm and how they go together to make the decisions that the Rover makes. Panel Charles Max Wood Guest Annie Didier Sponsors Dev Influencers Accelerator Links MAARS - Machine Lear...
Don't Let These Things Keep You From Podcasting - BONUS 29.04.2021 15:18
Charles talks about the things that get developers stuck when they're trying to start their podcast or other influencer channel. He explains how to get around having those things hamper your journey. Panel Charles Max Wood Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adv...
Tensorflow.js with Gant Laborde - ML 028 29.04.2021 50:47
Gant's back!!! He's releasing a book with Manning Publishing about Tensorflow.js and he's here to discuss all the details with us. He explains the difference between Teonsorflow and Tensorflow.js and goes into some of the pros and cons of using it. He also explains the concepts he goes over for new ML engineers and for ML engineers learning JavaScript. Panel Charles Max Wood Guest Gant Laborde Spo...
BONUS: Relationships Matter Most 23.04.2021 19:45
Charles Max Wood talks about how to build, grow, and benefit from positive relationships within programming. He talks about how he's built genuine positive relationships with hundreds of programmers and how he and others have grown from those relationships. He also explains that you get out of relationships what you put into them. Finally, he goes into how to begin to build relationships by buildi...
ML 027: Staying Current in Machine Learning 22.04.2021 41:48
Miguel and Chuck discuss how to stay current in the rapidly changing world of Machine Learning and Artificial Intelligence. They go over how to pick books, newsletters, podcasts, and other resources to up your Machine Learning knowledge and skills. Panel Charles Max Wood Miguel Morales Sponsors Dev Influences Accelerator Picks Charles- The Umbrella Academy Charles- The Sales Development Playbook M...
BONUS: How Opportunities Come Your Way When You're an Influencer 16.04.2021 20:33
Charles Max Wood discusses several opportunities that came his way early in his podcasting career and other opportunities that have come to other people after only a couple of podcast episodes. He explains why that happens and how you can use this to create more influence as a developer. Panel Charles Max Wood Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redci...
BONUS: How Opportunities Come Your Way When You're an Influencer 15.04.2021 22:43
Charles Max Wood discusses several opportunities that came his way early in his podcasting career and other opportunities that have come to other people after only a couple of podcast episodes. He explains why that happens and how you can use this to create more influence as a developer. Panel Charles Max Wood Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redci...
BONUS: What is Charles Max Wood's Biggest Payoff for Being a Dev Influencer? 09.04.2021 31:27
Charles Max Wood started podcasting because it sounded fun and because he wanted to talk about technology. He learned pretty quickly that it got him access to people who understood the things he wanted to learn. The reasons changed over the years, as Charles explains before he talks about the big payoff he gets now from doing the podcasts. Panel Charles Max Wood Advertising Inquiries: https://redc...
ML 026: Sweetviz with Francois Bertrand 08.04.2021 53:42
Francois Bertrand is the author of a tool that builds in powerful data visualization tools for datasets that allow data scientists and machine learning engineers to look at their data and analyze various qualities that they have. This could allow engineers to make qualitative calls regarding the data they use to train their models or evaluate the results they get from models after the fact. Franco...
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