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ML for Beginners – Introduction to Linear Regression

Microsoft Reactor
114K subscribers
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417 views Streamed 1 year ago #AI #DeepLearning #machine
🤖 Welcome to the third of our Machine Learning livestreams! In this episode, ‪@jimbobbennett‬ and Bea Stollnitz from Microsoft chat about linear regression, run some real world examples using Jupyter notebooks, and answer real-world questions ML from our live audience. This is part 3 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 00:43 - Introducing Bea Stollnitz 04:09 - Using Zsh in VS Code - https://bea.stollnitz.com/blog/codesp..., https://bea.stollnitz.com/blog/vscode... 04:56 - Python vs C++ vs Java - what should you learn at college? 08:58 - Learning to code in Assembly 15:31 - Visualizing data - matplotlib, seaborn, plotly are popular for Python 16:52 - Machine Learning and the Internet of Things (IoT) 20:05 - TinyML and an artificial nose - https://www.youtube.com/live/tjDL8w1afjw 24:08 - Are certifica …...more
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Intro

0:00

Introducing Bea Stollnitz

0:43

Using Zsh in VS Code

4:09

Python vs C++ vs Java - what should you learn at college?

4:56

Learning to code in Assembly

8:58

Visualizing data - matplotlib, seaborn, plotly are popular for Python

15:31

Machine Learning and the Internet of Things (IoT)

16:52

TinyML and an artificial nose

20:05

Are certificates useful? Yes for a product, no for ML. Projects are more important.

24:08

Small LLMs and hugging face on Azure - use the free trial

27:05

AI April

28:40

GitHub codespaces, 60 hours for free

32:50

Where the name regression comes from?

39:05

What is linear and polynomial regression?

39:40

Overfitting

41:39

Deep learning vs regression

43:48

Handling noise and outliers in linear regression

48:16

Is Python knowledge enough to learn machine learning?

50:43

Let's dive into linear regression code using a toy data set

52:50
ML for Beginners – Introduction to Linear Regression
🤖 Welcome to the third of our Machine Learning livestreams! In this episode, ‪@jimbobbennett‬ and Bea Stollnitz from Microsoft chat about linear regression, run some real world examples using Jupyter notebooks, and answer real-world questions ML from our live audience. This is part 3 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 00:43 - Introducing Bea Stollnitz 04:09 - Using Zsh in VS Code - https://bea.stollnitz.com/blog/codesp..., https://bea.stollnitz.com/blog/vscode... 04:56 - Python vs C++ vs Java - what should you learn at college? 08:58 - Learning to code in Assembly 15:31 - Visualizing data - matplotlib, seaborn, plotly are popular for Python 16:52 - Machine Learning and the Internet of Things (IoT) 20:05 - TinyML and an artificial nose - https://www.youtube.com/live/tjDL8w1afjw 24:08 - Are certificates useful? Yes for a product, no for ML. Projects are more important. 27:05 - Small LLMs and hugging face on Azure - use the free trial at https://azure.Microsoft.com/free 28:40 - AI April = https://azureaidevs.github.io/hub/ 32:50 - GitHub codespaces, 60 hours for free - https://github.com/features/codespaces 39:05 - Where the name regression comes from? 39:40 - What is linear and polynomial regression? 41:39 - Overfitting 43:48 - Deep learning vs regression 48:16 - Handling noise and outliers in linear regression 50:43 - Is Python knowledge enough to learn machine learning? 52:50 - Let's dive into linear regression code using a toy data set #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:18907]

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Microsoft Reactor

114K subscribers
Machine Learning for Beginners
by Microsoft Developer
ML For Beginners: classic Machine Learning for all
Learn ML
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