Ep30: Machine Learning with NO Tech Background? Marina’s Guide to Breaking In

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Data Neighbor Podcast

40 episodes

1 day ago

Welcome to the Data Neighbor Podcast with Hai, Sravya, and Shane! We’re your friendly guides to the ever-evolving world of data. Whether you’re an aspiring data scientist, a data professional looking to grow your career, or just curious about how data shapes the world, you’re in the right place. Our mission? To help you break in or thrive in the field of data. We dive into: - Personal career journeys and how luck, opportunity, and grit play a role - How to break into the data field even with a non-traditional background - Industry insights through engaging conversations and expert interviews

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Ep30: Machine Learning with NO Tech Background? Marina’s Guide to Breaking In

Data Neighbor Podcast

54 minutes 11 seconds

5 months ago

Ep30: Machine Learning with NO Tech Background? Marina’s Guide to Breaking In

Ever wondered how someone with a political science degree ends up doing machine learning at Twitch? Meet Marina Wyss - applied scientist, blogger, YouTuber, and all-around productivity and learning expert. In this episode of the Data Neighbor Podcast, Marina shares her unconventional journey into tech, how she self-taught herself machine learning, and why her mantra of being “gratitude-driven” is her antidote to hustle culture.We dive into:- How Marina transitioned from political science and jewelry management into data science and ML.- Her self-study roadmap: From free courses to Coursera to deep technical books.- Practical frameworks for self-learning, getting promotions, and breaking into the ML industry.- Why she rejects hustle culture in favor of a gratitude-driven approach to productivity.- How she leverages AI tools like ChatGPT and Replit to accelerate learning and personal projects.- Common mistakes early learners make and how to avoid being overwhelmed.- Her take on Python vs R, what to focus on when starting ML, and why building your own projects is essential.Whether you're coming from a non-technical background, looking to break into ML, or trying to navigate learning in the age of AI, Marina’s story and advice will inspire you to take the leap - and build the skills that matter.

Links Mentioned in the EpisodeMarina’s Blog: https://www.gratitudedriven.com/Books Mentioned:- Designing Machine Learning Systems by Chip Huyen- AI Engineering by Chip Huyen- Software Engineering for Data Scientists by Catherine NelsonCourses:- Machine Learning Specialization by Andrew Ng (Coursera)- Deep Learning Specialization (deeplearning.ai)- Math for Machine Learning (Three Blue One Brown on YouTube)

Connect with Hai, Sravya, and Shane (let us know which platform sent you!):Hai: https://www.linkedin.com/in/hai-guan-6b58a7a/Sravya: https://www.linkedin.com/in/sravyamadipalli/Shane: https://www.linkedin.com/in/shaneausleybutler/#machinelearning #datascience #careertransition #gratitudedriven #selfstudy #ai #deeplearning #python #coursera #careerroadmap #productivity #chatgpt #learnML #dataeducation #DataNeighborPodcast #nontechtotext #womenintech #mlprojects