Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161

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.

25 Elo 202258min

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.

18 Elo 202239min

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.

4 Elo 202252min

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.

29 Heinä 202253min

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.

21 Heinä 202241min

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.

14 Heinä 202245min

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 is referred to as hyperparameter tuning.  Today on the show, Ben and Michael discuss hyperparameter tuning and how to implement this into your ML modeling. In this episode…Why do we tune?Optimizing the modelsHyperparameter tuningSteps for tuningData splitsLinear based modelsHow do you know when you know enough?Basic rules of thumbBuffer in time for spikesGrid searching and automationSponsorsTop 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.

7 Heinä 202251min

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 other people’s failures vs. personally failing to learn?How do you view the current industry?Do you think data scientists and ML engineers are overpaid?What are 3 things important to ROI?How do you set the tone for culture?SponsorsTop End DevsCoaching | Top End DevsLinksMachine Learning Engineering in ActionAdvertising 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.

30 Kesä 202247min