Buying a Laptop for Machine Learning always starts with Compromising. and that too with portability.
Suppose you are gonna buy a laptop with more RAM, so it will lead you to carry more weights on the laptop. More battery backup, more weights. more power, less battery life. But these are not the things you should look to buy a Laptop for Machine learning.

RAM = a 16gb RAM is required for faster calculations. but 8gb is fine for a budget laptop.
CPU = at least Intel i5 9th gen.

GPU = GPU enables parallel processing of Matrix Calculations which is needed for Deep Learning, with GPU, we can do it within a few hours, without GPU, it would take days or weeks.

NVIDIA and AMD are there, but which one is ideal?

  • NVIDIA offers the CUDA library for Deep Learning, so obviously you should opt for NVIDIA.

Storage = SSD is always preferable, you can also use 1TB HDD to store dataset, buy 512GB SSD laptop and then buy external SSD for fast storing.

Operating System = When it comes to Machine Learning, always opt for Linux, you may use Windows or Mac OS, but using Linux will give you extra speed.

Don’t know Linux at all? This PDF is for you. 

Best Budget Machine Learning Laptops –

No Model Price
1 MSI GF63 Check Price
2 Acer NITRO 5 Check Price
3 Asus ROG Strix G Check Price
4 Acer Predator Helios 300 Check Price
5 HP Pavilion 15 Check Price
6 Lenovo Legion Y540 Check Price
7 DELL Gaming-G3 3579 Check Price
8 HP Pavilion Gaming Check Price
9 MSI Gaming GL65 Check Price
10 Lenovo Ideapad Check Price

MSI GF63

Features Specifications
RAM 8 GB
CPU Intel Core i5 9th Gen
GPU NVIDIA Geforce GTX 1650 Max Q
Storage 512 GB SSD
Battery Upto 7 hours, 120 W AC Adapter, 3 cell

Acer NITRO 5

Features Specifications
RAM 8 GB
CPU Intel Core i5 9th Gen
GPU NVIDIA Geforce GTX 1050
Storage 1 TB HDD
Battery Upto 11 hours

Asus ROG Strix G

Features Specifications
RAM 8 GB
CPU Intel Core i5 9th Gen
GPU NVIDIA Geforce GTX 1650
Storage 512 GB SSD
Battery 150 W AC Adapter, 3 cell