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Intro

0:00

Introducing Bea Stollnitz

1:32

Introducing this series and the curriculum

5:55

What is Machine Learning?

13:00

Exercises, quizzes and hands on tasks in the curriculum

17:09

Bea and the audience try the pre-lecture quiz!

17:50

Do you need to know stats for Machine Learning?

20:55

AI as a service, building AI powered apps without knowing how ML works

24:13

Do you need to know much Python to do ML? Check out Python for Beginners

27:12

Do most ML jobs need math? No! Most are app developers who use existing ML models and APIs.

32:28

The IDE for this course, VS Code or GitHub Codespaces, Jupyter notebooks, SciKit learn, on any OS

42:47

A Jupyter notebook running in Codespaces. Every GitHub user get 60 hours of Codespaces for free every month.

46:30

ML certifications

53:40

AI for Beginners

58:45
ML for Beginners - introduction to Machine Learning
🤖 Welcome to the first of our Machine Learning livestreams! In this episode, ‪@jimbobbennett‬ and Bea Stollnitz from Microsoft introduce Machine Learning, covering the basics of what it is, what you need to know to be successful in learning ML, and answering real-world questions from our live audience. This is part 1 of a number of live streams. This video is a live walkthrough of the ML for Beginners video series from Microsoft, available at    • Machine Learning for Beginners  . 00:00 - Intro 01:32 - Introducing Bea Stollnitz 05:55 - Introducing this series and the curriculum - https://aka.ms/ML-Beginners 13:00 - What is Machine Learning? 17:09 - Exercises, quizzes and hands on tasks in the curriculum 17:50 - Bea and the audience try the pre-lecture quiz! 20:55 - Do you need to know stats for Machine Learning? 24:13 - AI as a service, building AI powered apps without knowing how ML works 27:12 - Do you need to know much Python to do ML? Check out Python for Beginners -    • Python for Beginners   32:28 - Do most ML jobs need math? No! Most are app developers who use existing ML models and APIs. 42:47 - The IDE for this course, VS Code or GitHub Codespaces, Jupyter notebooks, SciKit learn, on any OS 46:30 - A Jupyter notebook running in Codespaces. Every GitHub user get 60 hours of Codespaces for free every month. 53:40 - ML certifications 58:45 - AI for Beginners - https://aka.ms/ai-beginners 58:27 - Data Science for Beginners - https://aka.ms/datascience-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.

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Microsoft Reactor

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