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. SponsorsChuck's Resume TemplateDeveloper Book Club starting with Clean Architecture by Robert C. MartinBecome a Top 1% Dev with a Top End Devs MembershipAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
10 Marras 202246min
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. SponsorsTop End DevsCoaching | Top End DevsLinksDean PlebanAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
27 Loka 202248min
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 tests?What should you test?How should you write tests in python? (the answer is to use pytest)SponsorsTop End DevsCoaching | Top End DevsEnov8, who provides test data managementAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
20 Loka 202244min
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 along with software for successful neurological test equipment combining AI development with biomedical nerve signal testing that gives him the singular insight. Today on the show, Charles, Michael, and Ben explore the riveting future of AGI and other illuminating technology concepts. This is an exciting episode you won’t want to miss! In this episode…Charles Simon’s extensive backgroundClassical algorithms vs manual designKnowledge and power generated in our brainsAI and ML concepts and learning patternsGraph based approaches and deep learning“Terminator” and AGIFuture AI and open source simulatorLeveraging technology to solve problems SponsorsTop End DevsCoaching | Top End DevsLinksThe TeamLinkedIn: Charles SimonAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
6 Loka 20221h 4min
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 skillsPractice data algorithms and structures Working towards production-grade MLData engineering and data structuresUsing state-of-the-art models Applying labels to dataThe AI revolution Eliminating bias and unweighted data setUnconscious and conscious exercisesComplex models with structureSponsorsTop End DevsCoaching | Top End DevsLinksHow to Package and Distribute Machine Learning Models with MLFlow - KDnuggetsTwitter: @ferneutronnAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
29 Syys 202257min
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 caseML flow models and eventsKPI forecastsMetadata outputsPrediction intervals for hotdog dataAutomated time series forecastsLibraries required for optimizationPractical tips managing the data andSetting up the data for consumptionManaging black swan eventsSponsorsTop End DevsCoaching | Top End DevsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
22 Syys 202247min
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 sales forecastingThe flat line modelExamples using time series modelsUnderstanding your dataLag functions and moving averages Signal processing in modelsManually adding change pointsDeep learning in time series models SponsorsTop End DevsCoaching | Top End DevsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
15 Syys 202253min
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 for small hardware applications, for example, blurring a face in a video in real time or on a stream to safeguard privacy using AI. The panel also discusses various strategies related to learning and soft skills needed for success within the industry. In this episode…Optical character recognition (OCR) definedMultiprocessing vs. multithreading I/O bound tasks vs. CPU tasksHow to handle a retry in PythonStrategies for employing on small hardware Template matching and preprocessing Gray scaling integrationsHow to learn and get started within the industryReducing the scope and industry soft skills SponsorsTop End DevsCoaching | Top End DevsLinksLinkedIn: Ahmad AnisTwitter: @AhmadMustafaAn1Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
8 Syys 202253min
