Watch this BEFORE buying a LAPTOP for Machine Learning and AI 🦾

Machine learning on a laptop, is that even possible? How about Macbooks?
What hardware do I need? What should I spend? What do I need to focus on?

Here’s the follow-up on how to train machine learning models in the cloud for free:

This video discusses the original M1. However, the same logic applies to the Apple M2 Pro and M2 Max, they’re just ✨even better✨.

——————————————————————————————————————
Join the community and support these videos:
🎁 https://www.patreon.com/thegeophysicist
——————————————————————————————————————

– https://blog.tensorflow.org/2020/11/accelerating-tensorflow-performance-on-mac.html
– https://scikit-learn.org/stable/modules/computing.html
– https://github.com/apple/tensorflow_macos
– https://www.tomshardware.com/features/amd-vs-intel-cpus

——————————————————————————————————————
🎥 My Camera Gear
https://www.amazon.com/shop/jesperdramsch
🎼 My Music
https://www.epidemicsound.com/referral/tw68u7/
——————————————————————————————————————

⏱️ Timestamps
00:00 Intro
00:29 Training with a Laptop
00:37 Difference Desktop and Laptop
01:23 The Apple Ecosystem
03:33 Do you even GPU, bro?
04:30 Everything you need to understand about computer hardware
08:49 What type of GPU you need
09:27 Should you even do Deep Learning on a Laptop
11:15 What to prioritize in your Laptop Hardware
12:25 Making it work with a small-ish Laptop
13:02 With a GPU you can try Nvidia RAPIDS cuML
13:47 What else is there to consider?
16:00 So can you train machine learning on your laptop?
17:01 My Recommendation
18:00 Byeeee

——————————————————————————————————————
👋 Social

💙 Linkedin: https://www.linkedin.com/in/mlds
💜 Twitter: https://twitter.com/JesperDramsch
🖤 Github: https://github.com/JesperDramsch
💚 ORCID: http://orcid.org/0000-0001-8273-905X
🧡 Google Scholar: https://scholar.google.de/citations?user=2nrI28QAAAAJ

✒️ Professional Blog: https://the-geophysicist.com
🌍 Main Website: https://dramsch.net
🎁 Community: https://www.patreon.com/thegeophysicist ——————————————————————————————————————
📝 Disclaimer
Jesper Dramsch is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.com and affiliated sites.

Opinions my own. Not financial advice. Sponsors are acknowledged. For entertainment purposes only.

source