🐙 Lunch & Learn: MLOps 101 with Miki Bazeley | Tina Huang

Marketers are increasingly recognizing the disconnect between impressive dashboard metrics and actual revenue generation, coining the term "bullspend" to describe ineffective ad spending. The conversation highlights the need for marketers to focus on tangible results rather than vanity metrics like impressions. LinkedIn is noted for delivering the highest return on ad spend among major ad networks, suggesting that businesses should consider targeted advertising on this platform.

The discussion shifts to the growing field of MLOps, with a guest speaker, Mickey, emphasizing its importance in the tech landscape. MLOps has gained traction over the past few years, paralleling the rise of data engineering. Mickey shares insights into the distinctions between MLOps engineers and data scientists, explaining that MLOps focuses on creating tools and processes that facilitate machine learning deployment and efficiency, while data scientists primarily develop models.

Mickey also addresses the evolving nature of machine learning product development, particularly the impact of large language models (LLMs) and their integration into existing systems. The conversation touches on the importance of understanding the ML lifecycle, including data preparation, model training, and deployment, and the necessity for effective monitoring and logging to ensure model performance. The session concludes with encouragement for professionals to embrace a generalist approach, building diverse skills to adapt to the rapidly changing tech environment.

🐙 Lunch & Learn: MLOps 101 with Miki Bazeley

A 1 hour lunch & learn workshop on MLOps 101 with Miki Bazeley.Miki is a Senior Engineer who specializes in MLOps and MLEngineering. She has worked in various roles, including data analyst, data scientist, and ML engineer before becoming an MLOps engineer. Additionally, she has provided mentoring at multiple data science bootcamps.🤖 Sign up here to get accompanying workbooks, summaries, and notifs for future lunch & learns: https://www.lonelyoctopus.com/email-signup✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c: 🐙 Lonely Octopus: https://www.lonelyoctopus.com/Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects! 🔗Affiliates========================My SQL for data science interviews course (10 full interviews):https://365datascience.com/learn-sql-for-data-science-interviews/ https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina🎥 My filming setup ========================📷 camera: https://amzn.to/3LHbi7N🎤 mic: https://amzn.to/3LqoFJb🔭 tripod: https://amzn.to/3DkjGHe💡 lights: https://amzn.to/3LmOhqk📲Socials ========================instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX🤯Study with Tina ========================Study with Tina channel:https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGwHow to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrIScoreboard website: scoreboardswithtina.comlivestreaming google calendar:https://bit.ly/3wvPzHB🎥Other videos you might be interested in========================How I consistently study with a full time job:https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈‍⬛🐈‍⬛About me ========================Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person! 📧Contact========================youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: [email protected] ========================Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

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