We recommend and review some laptops/notebooks suitable for data science and machine learning.
Firstly, we state the 4 core important specs (specifications) for laptops for data science and machine learning.
1) RAM: Should be 8GB or higher.
2) CPU: Should be Intel Core i5, or even better Intel Core i7.
3) Storage: Should be at least 256 GB SSD.
4) GPU: Optional, but good to have for deep learning. (Note that Mac GPUs are not usable for deep learning.)
RAM and CPU are necessary in order to conduct computations successfully and within a reasonable time. Storage is necessary to process big data which can potentially be several gigabytes. GPU is useful to speed up deep learning, but is optional since there are many cloud or server options available.
For concrete recommendations, we recommend the following 5 laptops. Certainly, there could be other laptops that are equally suitable for data science and machine learning, do comment below if you have a good suggestion!
ASUS ROG Strix Scar 17 Gaming Laptop, 17.3” 300Hz FHD IPS Type, NVIDIA GeForce RTX 2070 Super, Intel Core i7-10875H, 16GB DDR4, 1TB PCIe SSD, Per-Key RGB Keyboard, Wi-Fi 6, Windows 10, G732LWS-DS76
Dell XPS 15 7590 Laptop 15.6 inch, 4K UHD OLED InfinityEdge, 9th Gen Intel Core i7-9750H, NVIDIA GeForce GTX 1650 4GB GDDR5, 256GB SSD, 16GB RAM, Windows 10 Home, XPS7590-7572SLV-PUS, 15-15.99 inches
New Apple MacBook Pro (16-inch, 16GB RAM, 512GB Storage, 2.6GHz Intel Core i7) – Space Gray
2020 Lenovo ThinkPad T590 15.6″ FHD Full HD (1920×1080) Business Laptop (Intel Quad-Core i7-8565U, 16GB RAM, 512GB SSD) Backlit, Type-C Thunderbolt 3, RJ-45, Webcam, Windows 10 Pro IST Computers
HP Pavilion 15-inch Laptop, Intel Core i7, 16 GB RAM, 512 GB SSD Storage, Intel Iris Plus Graphics, Windows 10 Pro, Amazon Alexa Voice Compatible (15-cs3019nr, Mineral Silver)