👉 Check Out Scrimba's New Intro to Python Course: https://scrimba.com/learn-python-c04n8v7vf9?via=MarinaWyss It's currently free! Plus by joining with my link you'll save 20% on Scrimba Pro plans. Timestamps ⏰ 00:00 Why the old ML path doesn't work anymore 00:34 The math you actually need 01:30 Build real intuition first 02:16 Get the big picture of ML algorithms 03:00 Learn Python 04:39 Implement algorithms from scratch 05:29 What actually gets you hired 07:46 Take generative AI seriously 09:09 Use AI without the fluency trap 09:46 Coding interviews 10:09 Networking and referrals 10:36 Final advice --------------------------------------- Want to become an AI Engineer? Download my AI Engineering Skills Checklist here: https://www.gratitudedriven.com/c/ai-engineering-checklist 💬 Interested in working with me 1:1? Learn more about my strategic advisory sessions: https://www.marinawyss.com/coaching 🚀 Want to level up your AI/ML career? Join the AI/ML Career Launchpad community: https://aiml-career-launchpad.circle.so/aiml-launchpad 🩷 Join the channel membership community for priority comment replies and early access to videos! https://www.youtube.com/@MarinaWyssAI/join --------------------------------------- 🎥 Other videos you might like: Your Projects Won't Get You Hired (Here's What Will) https://www.youtube.com/watch?v=PzYtXQX0swE How to Transition from Software Engineering to AI Engineering https://www.youtube.com/watch?v=ncvYo9tvP6o Context Engineering in 29 Minutes: A Complete Course https://www.youtube.com/watch?v=-h9VVJIqtvA --------------------------------------- 🦫 About me I am a Senior Applied Scientist (basically, a blend of Data Scientist/Machine Learning Engineer) at Twitch/Amazon. Outside of my full-time job I'm a 1:1 career coach for people looking to break into the field, with a focus on those from non-traditional backgrounds. I’m also a Certified Personal Trainer, always busy with too many interests, and really, deeply happy with my life. I hope to be able to help others achieve these things, too. --------------------------------------- ✉️ Contact Instagram: https://www.instagram.com/marina.wyss/ Twitter/X: https://x.com/iammarinawyss TikTok: https://www.tiktok.com/@gratitudedriven Leave me a comment here on YouTube! Business email: [email protected] --------------------------------------- ⚖️ Disclaimer The views and opinions expressed in this video are my own and do not reflect the official policy or position of Twitch/Amazon or any other company I have worked for. All advice and insights shared here are based on my personal experiences and should be considered as such. Thank you to Scrimba for sponsoring this video! This description may contain affiliate links. If you make a purchase I may make a small commission at no cost to you. #MachineLearning #AICareer #DataScience
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The timing couldn't be better ! I set a goal to learn machine learning this year, and you just released a video on it. Thank you so much Marina !!! 😍❤️
I think Sebastian Raschka's book "Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python" hits the sweet spot between DIY and pytorch. I had the same issue you mentioned with other resources, without coding at least a basic version, it is hard to get a good understanding and feeling of the algorithms. It describes the basic mathematics quite well but don't take my word for it since most of my career I'm involved in mathmatical modelling of PDEs.
Practical + theory🤝
👉 Check Out Scrimba's New Intro to Python Course: /learn-python-c04n8v7vf9?via=MarinaWyss It's currently free! Plus by joining with my link you'll save 20% on Scrimba Pro plans.
Can you please tell us that how much DSA is required or how much you have done.
Most hiring is rigged. People need to admit that you need to be liked. There's alot of human bias involved.
your tatoo is awesome😮
Please also make a video where you tell the best latest resources to become AI engineer. AI engineering stack contains a lot and things are moving very fast. I would love if you suggest some good resources. Also how to learn model deoloyement in production?
What a bad video. Also all topics that were covered were already the very baseline skills for ML back then. And what's even more important in the era of AI is an even deeper understanding of math, so that you can either do edge research on models or you can critically evaluate the vibe coded shit you have to deal with. Otherwise you won't deliver any value to any existing enterprise. Also besides 3b1b, your recommendations are not even anywhere near to an undergraduate program in quant.
Would you recommend starting with PyTorch (that's what I've been doing through DeepLearning Ai), and then learning the Python specific stuff as needed? For some context, I already know how to program in Rust, TypeScript and SvelteKit. I just feel like a lot of Python courses (like TypeScript courses) try to teach Python in a generic pathway with advanced oop features that are great for refactoring, but not needed for ML.
Did you say "nepo baby"? 😂 10:20
Earlier u were in amazon now twitch?
Feels like the content could often be half the length and still deliver the same value. Also starting to notice the same ideas and topics being recycled quite a lot. The topics, pacing and presentation reminded me a bit of Tech With Tim. Maybe it’s just the way educational AI content is evolving.
Love U mam 💖 U r so optimistic ❤❤
Good skills roadmap. But Microsoft cut 15,000, Meta axed 8,000. Better preparation doesn't create more positions. The market is the variable nobody's optimizing for.
Great video! Thanks.
Thank you so much Marina
Hey Marina, do you know any good resources for learning about EVAL pipelines? My project could use one 😅
How to get jobs at twitch without referral ? Since most of enthusiasts are getting jobs only via social recruiting
hey your look is so cool.