Adventures in Machine Learning

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.

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.

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.

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.

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 of innovationGlorified failure projects Responsible AIData driven companies and quality scoresTools for autogenerated business insightsModel intelligence Unspoken assumptionsUnderstanding the larger pictureSponsorsTop End DevsCoaching | Top End DevsLinksBenefits Of Becoming A Data-First Enterprise - KDnuggetsTop 3 Challenges for Data & Analytics Leaders - KDnuggetsDemocratizing Data in Large EnterprisesLinkedIn: Vidhi ChughAdvertising 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.

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.In this episode…From academics to machine learningMachine learning on mobile devicesCloud computingApplying AI to computer graphicsBeing multi-disciplinary User experience and latencyModel complexity issuesSponsorsTop End DevsCoaching | Top End DevsLinksDeep Video Inpainting. Removing unwanted objects from videos… | by Aliaksei Mikhailiuk | Towards Data ScienceOn the edge — deploying deep learning applications on mobile | by Aliaksei Mikhailiuk | Jul, 2022 | Towards Data ScienceSeven Questions to Ask before Introducing AI into Your Project | by Aliaksei Mikhailiuk | Towards Data ScienceAliaksei MikhailiukAliaksei Mikhailiuk – MediumLinkedIn: Aliaksei MikhailiukTwitter: @mikhailiukaAdvertising 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.

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 to become a data scientist or make advanced changes in the data science career path. In this episode…The “distributed portfolio approach” vs. professional portfolio Leveraging each platforms strengths Creating a personal brandFind others to network and connect withCreate a Rosetta stone in your programming languagePandas-profiling to contribute to the communityWorking with a career coachAsking the right interview questionsSponsorsTop End DevsCoaching | Top End DevsLinksData Science Projects Accepting Community Contributions | by Adam Ross Nelson | May, 2022 | Towards Data ScienceAdam Ross NelsonLinkedIn: Adam Ross NelsonTwitter: @AdamRossNelsonAdvertising 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.

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 annotationsProject development lifecycleGrading programmers with pass / failSoft skills within the industryBioinformatics and computer sciencePrototyping and improving efficienciesConnect with Ken Youens-Clark via email and LinkedIn SponsorsTop End DevsCoaching | Top End DevsLinksMastering Python for BioinformaticsCommand-Line RustGitHub - kyclark/command-line-rustLinkedIn: Ken Youens-ClarkGitHub: kyclarkAdvertising 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.

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 about building AI responsibly on a foundation of good data. In this episode…What is cautious AI and trustworthy AI?Defining clean data vs. diverse dataImage classificationHow was Kili founded?How does the labeler and model work together?Algorithms and model structures  Scaling with large data setsSponsorsTop End DevsCoaching | Top End DevsLinksKili TechnologyBlog postsLinkedIn: Edouard d'ArchimbaudAdvertising 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.

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 developers.  Specific topics include taking ownership of your work, being comfortable making mistakes, and how to stretch yourself every day. In this episode…Taking ownershipBeing comfortable taking risks and making mistakesFrom back end to front end developmentSelf taught and self pacedDunning-Kruger effectContinually growing and learning SponsorsTop End DevsCoaching | Top End DevsLinksThe Most Important Thing I Did to Become a Senior DeveloperJesse LangfordLinkedIn: Jesse LangfordAdvertising 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.