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Packt

The packtpub.com channel features samples of our course content, available for everyone. At packtpub.com you can access our entire range of practical, structured video tutorials, designed to help you get the job done.

Packt Publishing bridges the gap between education and technical support, with books and videos that help you get the working knowledge you need to effectively apply new tools and techniques. Packt Video brings you this working knowledge straight from the experts, who will guide you to achieving your goals through clear instructions and explanations.

Find out more about our range of video courses by visiting: www.packtpub.com/books/video

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Packt

Learn Python Programming, the fun way!!

#programmer #programming #code #coding #developer #book

3 months ago | [YT] | 53

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Packt

If you’re a data scientist or ML engineer, you use matrix multiplication every day, but do you really understand it?

This workbook builds real intuition through colourful, hands-on puzzles instead of boring theory. It helps you see what’s happening under the hood, which means better debugging, stronger model intuition, and sharper fundamentals.

Linear algebra, but actually fun.

#ai #ml #data #datascience #book

3 months ago | [YT] | 38

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Packt

FINAL 48 hours to sign up!!
lnkd.in/ewZyNh2u

Data scientists and ML engineers from Max Planck Institute for Intelligent Systems, Columbia University, Couchbase, The World Bank, Ford Motor Company, Bumble Inc., and many more global organizations have already registered.

Because fundamentals matter! If you want to truly understand what powers the models you work with, not just run them, do join us.

Tivadar Danka will train you to:
• Care about intuition, not rote formulas
• Building stronger foundations without academic overload
• Applying theory directly to real-world ML problems

Seats are limited. Registration closes soon.
Here’s the link: lnkd.in/ewZyNh2u

4 months ago | [YT] | 16

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Packt

⏰ 𝟐𝟒 𝐡𝐨𝐮𝐫𝐬 𝐥𝐞𝐟𝐭!

💡 𝐅𝐫𝐞𝐞 𝐭𝐨 𝐚𝐭𝐭𝐞𝐧𝐝 | 𝐅𝐞𝐰 𝐬𝐞𝐚𝐭𝐬 𝐥𝐞𝐟𝐭

👉 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐡𝐞𝐫𝐞: eventbrite.com/e/statistics-f…

🎓 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐟𝐨𝐫 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠
with Thomas Nield!