Best Laptop For Machine Learning

Updated: Jun 13, 2020

Machine learning is an application that focuses on the development of computer programs that can generate large amounts of data without any human intervention. To automate the data process, artificial intelligence is used as it provides the system the ability to automatically learn and improve without the need of programming.

The field of machine learning has evolved widely over the past few years as it provides easy procurement of data without the need of human intervention. The need for machine learning engineers is on a rise both in start-ups as well as MNCs. However, many companies don’t pay attention to the requirement of the laptop system that the engineers require to ensure their work is done without any hassle. Read this article to know all about the best laptops for machine learning.

ASUS ROG Zephyrus S

This is a stunning 15-inch laptop with a sleek design of an ultrabook that comes packed with powerful GPU components.


  • NVIDIA GeForce RTX 2080 Max-Q Graphics

  • 2.2GHz Intel Core i7-8750H (Hexa-core, 9MB cache, up to 4.1GHz) Processing unit

  • Storage of 1TB M.2 PCIe x4 SSD

  • Display size: 15.6″, Full HD (1920 x 1080) IPS – 144Hz refresh rate


  • Sleek design

  • High performance

  • Innovative cooling


  • Screen is not of HDR quality and is pretty expensive model

Microsoft Surface PRO with Intel Core i7, 16 GB RAM and 512 GB

This laptop works best in all the three modes-laptop mode, studio mode as well as tablet mode. The laptop comes with a battery life of 13.5 hours and a faster 8th generation Intel core processor.


  • Fast and light surface pro

  • 7th generation Intel Core i7 Processor, 512 GB of storage, 16 GB RAM, and up to 13.5 hours of video playback

  • Surface Pro Signature Type cover and Microsoft Surface Pen


  • Good battery life

  • High and fast performance


  • Too expensive, starting at Rs. 66,000.

Acer Predator (Helios 300 and Triton 700)

Helios 300 and Triton 700 laptop by Acer both offer good speed and power. Both laptops can make lives easy for a machine-learning engineer, however, out of the two Triton is an expensive one.


  • Storage: 256GB PCIe SSD

  • Display size: 15.6-inch FHD (1,920 x 1,080) ComfyView IPS (144Hz refresh rate)

  • RAM: 16GB DDR4 (2,666MHz)


  • The laptop offers good value for money as it gives good performance

  • Good battery life


  • The screen display size should have been bigger

Gigabyte AERO 15X

This is one of the best laptops for machine learning engineers as it offers great speed and comes with a good battery life; it helps one do tasks just beyond gaming.


  • RAM: 16GB DDR4 (2,666MHz, 8GB x 2)

  • Display size: 15.6″ UHD 4K (3,840 x 2,160) IPS LCD

  • Graphics: NVIDIA GeForce GTX 1070 (Max-Q, 8GB GDDR5 RAM)


  • Comes with plenty of ports

  • Offers excellent performance

  • High battery life


  • The webcam is not of superior quality

Dell Alienware 154

This is a 15-inch light and thin gaming laptop that comes with a good battery life and is light in weight. This offers commanding performance and comes in two colour options-silver and nebula red.


  • Graphics: NVIDIA GeForce GTX 1080 Max-Q (8GB GDDR5X)

  • Storage: 256GB SSD + 1000GB HDD

  • Display: 15.6”, 4K UHD (3840 x 2160), IPS


  • Excellent audio quality

  • Superb keyboard

  • Stunning OLED display

  • Lightweight at only 4.5 LBS


  • CPU performance could be better

  • Keyboard turns warm under taxing workloads

  • CPU performance could be better

Planning to pursue a career in machine learning? Register for our FREE career consultation to get a better clarity to plan your career well.

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