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Intro

0:00

Introducing Bea Stollnitz

1:12

The videos we released this week covering ML for Beginners

1:31

We learn Jim's US geography is terrible and Bea loves Iceland

6:20

An ask for more Reactor content in Portuguese, and we have some!

9:26

Career advice, getting a job in AI/ML

11:57

Building your portfolio

15:10

The ML for Beginners curriculum

19:25

How can you change your role into an ML position? Build a portfolio on GitHub!

22:00

Kaggle challenges can also help boost your portfolio

30:30

How can programmers use ML to help data analysts and scientists? APIs help anyone use ML with no experience.

32:17

The Julia programming language for ML

34:50

Do you need Azure ML to learn from ML for Beginners? No!

38:52

Improving security with ML

40:25

Responsible AI

43:20

Deploying AI models using Azure ML

46:00

Blogs vs GitHub for portfolios

48:48

We are in a time where responsible AI is the most important thing in this field

51:10

Multimodal models and voice controlled ChatGPT by building your own apps.

54:00

What to learn after Python basics to learn ML? ML for Beginners!

57:35
ML for Beginners - introduction to Machine Learning – Q&A
🤖 Welcome to the second of our Machine Learning livestreams! In this episode, ‪@jimbobbennett‬ and Bea Stollnitz from Microsoft continue to introduce Machine Learning, answering real-world questions from our live audience around careers, responsible AI, and more. This is part 2 of a number of live streams. This video is Q&A for the ML for Beginners video series from Microsoft, available at    • Machine Learning for Beginners  . 00:00 - Intro 01:12 - Introducing Bea Stollnitz 01:31 - The videos we released this week covering ML for Beginners -    • Machine Learning for Beginners   06:20 - We learn Jim's US geography is terrible and Bea loves Iceland 09:26 - An ask for more Reactor content in Portuguese, and we have some! https://developer.microsoft.com/react... 11:57 - Career advice, getting a job in AI/ML 15:10 - Building your portfolio 19:25 - The ML for Beginners curriculum - https://aka.ms/ml-beginners 22:00 - How can you change your role into an ML position? Build a portfolio on GitHub! 30:30 - Kaggle challenges can also help boost your portfolio - https://www.kaggle.com 32:17 - How can programmers use ML to help data analysts and scientists? APIs help anyone use ML with no experience. 34:50 - The Julia programming language for ML - https://julialang.org 38:52 - Do you need Azure ML to learn from ML for Beginners? No! 40:25 - Improving security with ML 43:20 - Responsible AI 46:00 - Deploying AI models using Azure ML - https://learn.microsoft.com/training/... 48:48 - Blogs vs GitHub for portfolios 51:10 - We are in a time where responsible AI is the most important thing in this field 54:00 - Multimodal models and voice controlled ChatGPT by building your own apps. https://github.com/jimbobbennett/cons... 57:35 - What to learn after Python basics to learn ML? ML for Beginners! https://aka.ms/ml-beginners #MachineLearning #AI #MLforBeginners #ML #AI #DeepLearning #DataScience #jupyternotebooks #scikitlearn 📚 Learn more: This course is based on the free, open source, 26 lesson ML For Beginners curriculum from Microsoft, which can be found at https://aka.ms/ml-beginners. You can chat with us on the Microsoft Python Discord server. Join at http://aka.ms/python-discord-invite if you haven’t joined already and ask your questions on the #machine-learning channel. This course does not cover AI or Data Science. 🎓 To learn more about these topics, check out our beginner's curriculum: AI for Beginners - https://aka.ms/ai-beginners Data Science for Beginners - https://aka.ms/datascience-beginners Python for Beginners -    • Python for Beginners   📣 Feel free to leave us a comment below, and don't forget to like 👍, subscribe, and ring that bell 🔔 so you don't miss our upcoming episodes: https://aka.ms/Reactor/Subscribe-YouTube 🤝 Connect with us: Homepage: https://aka.ms/Reactor Facebook: https://fb.com/MicrosoftReactor Twitter:   / msftreactor   Meetup: http://meetup.com/pro/microsoft-reactor/ About Microsoft Reactor: Reactors are community spaces where technology professionals meet, learn, and connect - to both their local peers as well as industry-leading ideas and technology from Microsoft, partners, and the open source community. With a diverse mix of workshops, presentations, and networking events customized for each city, there’s something for everyone – whether you’re just getting started or working on complex projects. Our programming is always free and inclusive of a broad set of products, tools, and technologies. [eventID:18901]

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Microsoft Reactor

115K subscribers
Machine Learning for Beginners
by Microsoft Developer
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