Best 5 most Powerful laptops for machine Learning

What is Machine Learning?

Machine learning is the study of computer algorithms that improve automatically through experience and by the use of data. We see it as a part of artificial intelligence. A machine learning model is a file that is trained to recognize certain types of patterns. You train a model over a set of data, providing it an algorithm that it can use to reason over and learn from those data. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to learn automatically and improve from experience without being explicitly programmed.

These are the most powerful laptops for machine learning for both beginners and developers.

5. Dell G5 5590

Dell G5 5590

This is a great laptop for a budget under $1K.

Specs:

  • Processor: Intel Core i7 9750H 2.60–4.5 GHz.
  • Memory: 16GB RAM DDR4 SDRAM.
  • Hard Drives: 512 GB SSD.
  • GPU: NVIDIA GeForce RTX 2060 6 GB.
  • Computing Power: 7.5
  • Ports: 1x HDMI, 1x Mini Display Port, 1x Thunderbolt 3, 3x USB 3.1 Gen 1, 1x USB-C via Thunderbolt 3.
  • OS: Windows 10 Home.
  • Weight: 6.27 lbs.
  • Display: 15.6, 1920 x 1080 60Hz.
  • Connectivity: Wi-Fi 802.11ac, Gigabit LAN (Ethernet), Bluetooth.
  • Battery life: Better ~ 5 hours.

You can buy this on Amazon.

4. Lenovo Legion Y540

 Lenovo Legion Y540

Great laptop for a budget under $1K but still want a powerful RTX GPU, and larger storage space.

Specs:

  • Processor: Intel Core i5–9300HF
  • Memory: 16GB RAM DDR4 SDRAM.
  • Hard Drives: 2TB HDD + 1TB SSD
  • GPU: NVIDIA GeForce RTX 2060 6 GB.
  • Computing Power: 7.5
  • Ports: 3 x USB 3.1, 1 x USB Type-C, 1 x Mini Display port, 2 x HDMI 2.0, 10/100/1000 LAN, RJ45 and Headphone Output/Mic Input Combo Jack.
  • OS: Windows 10.
  • Weight: 5.17 lbs.
  • Display: 15.6, 1920 x 1080 60Hz.
  • Connectivity: Wi-Fi 802.11ac, Gigabit LAN (Ethernet), Bluetooth.
  • Battery life: Better ~ 5 hours.

You can buy this on Amazon.

3. Eluktronics Max-17

Eluktronics Max-17

A Solid rig for under $ 3k. The GPUs and processors are more up-to-date and performance, and it also makes a powerful workstation.

Specs:

  • Processor: Intel Core i7–10875H up to 5.1 GHz.
  • Memory: 64GB RAM DDR4.
  • Hard Drives: 1TB NVMe SSD.
  • GPU: NVIDIA RTX 2080 Super Max-Q 8GB.
  • Computing Power: 7.5.
  • Ports: 1x HDMI, 1x Thunderbolt 3, 1USB 3.1 Gen 2, 2x USB 3.1.
  • OS: Windows 10 Pro 64-bit.
  • Weight: 3.82 lbs.
  • Display: 15.6, 1920 x 1080 144Hz.
  • Connectivity: Wi-Fi 802.11ac, Gigabit LAN (Ethernet), Bluetooth.
  • Battery life: Better~ 5 hours.

You can buy this on Amazon.

2. EVOC X1702F

EVOC X1702F

Specs:

  • Processor: Intel Core i9–10900K.
  • Memory: 128GB RAM DDR4.
  • Hard Drives: 24TB SSD (3 x 8TB).
  • GPU: NVIDIA RTX 2080 Super Max-Q 8GB [1].
  • Computing Power: Not benchmarked yet.
  • Ports: 1x HDMI, 1x Thunderbolt 3, 1USB 3.1 Gen 2, 2x USB 3.1.
  • OS: Windows 10 Pro 64-bit.
  • Weight: 8.38 lbs.
  • Display: 17.3 4K
  • Battery life: Not benchmarked.

You can buy this on Amazon

1. CUK MSI GE66 Raider

CUK MSI GE66 Raider

Better for those who prefer established brand names on their setups.

Specs:

  • Processor: Intel Core i7 10870H up to 5.0 GHz
  • Memory: 64GB RAM DDR4.
  • Hard Drives: 16TB NVMe SSD
  • GPU: NVIDIA GeForce RTX 3080 16GB
  • Computing Power: Not benchmarked yet.
  • Ports: 1x HDMI, 1x Thunderbolt 3, 1x USB-C, 2x USB 3.2.
  • OS: Windows 10 Home.
  • Weight: 5.25 lbs.
  • Display: 15.6, 1920 x 1080 144Hz.
  • Connectivity: Wi-Fi 802.11ax, Gigabit LAN (Ethernet), Bluetooth 5.2.
  • Battery life: Not benchmarked yet.

You can buy this on Amazon

One More!

Apple MacBook Pro

Apple MacBook Pro

Best laptop if you prefer the Mac OS and don’t rely heavily on the GPU. MacBooks are powerful workstations because of their Thunderbolt 3 ports, and their battery life is the best for dedicated GPU laptops. For computing power check out a detailed comparison between the RTX 2080 and the AMD Radeon Pro 5500M.

Please note that AMD Radeon powers Macs’ GPU. Therefore, they cannot run CUDA (a parallel computing platform necessary to create/run deep learning tasks).

Specs:

  • Processor: Intel Core i9–10875H up to 4.8 GHz.
  • Memory: 16GB RAM DDR4.
  • Hard Drives: 1TB NVMe SSD.
  • GPU: AMD Radeon Pro 5500M 4 GB.
  • Ports: Four Thunderbolt 3 (USB-C) ports.
  • OS: Mac OS.
  • Weight: 4.3 lbs.
  • Display: 15.6, 1920 x 1080 144Hz.
  • Connectivity: Wi-Fi 802.11ac, Gigabit LAN (Ethernet), Bluetooth.
  • Battery life: Best ~ 7–11 hours.

You can buy this on Amazon

Conclusion

We hope you find this list useful in your search for a performance-oriented laptop for your machine learning and data science projects, these are also helpful for deep learning. If you come across any phenomenal laptops, such as those mentioned above, please let us know by emailing us.

Thank you for reading!

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