Asked by: Atiq Lombide
technology and computing laptops

Are gaming laptops good for machine learning?

Last Updated: 26th May, 2020

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Yes, you can buy a gaming laptop for AI-related work because the GUI required are nearly the same. Moreover, you can use a system that is compatible for both i.e., gaming and work. Here's what you need to get your gaming laptop turned into an AI compatible one: NVIDIA GeForce GTX 1060 Mobile GPU.

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Keeping this in view, which laptop is good for machine learning?

Here's a List of the Best Laptops For Machine Learning

  • Best-Rated: MSI GS65.
  • HP Omen.
  • Dell G5.
  • Gigabyte AERO 15.
  • Acer Predator Triton 700.
  • ASUS ROG Zephyrus.
  • Asus ROG Zephyrus S.
  • Acer Predator 15.

Furthermore, is MacBook pro good for machine learning? The new MacBook Pro's 6 cores and 32 GB of memory make on-device machine learning faster than ever. Depending on the problem you are trying to solve, you might not be using the GPU at all. Scikit-learn and some others only support the CPU, with no plans to add GPU support.

Secondly, are gaming laptops good for deep learning?

High End Laptops The gaming laptops with these specs are essentially not for gaming but can also be used for deep learning. With a downgrade in RAM and CPU, one can opt this for training. It is better to invest on an high end GPU by compromising the CPU for deep learning purposes.

Is i5 enough for machine learning?

For machine or deep learning, you are going to need a good CPU because this kind of information processing is enormous. The more you go into detail, the more processing power you are going to need. I recommend buying Intel's i5 and i7 processors. They are good enough for this kind of job, and often not that expensive.

Related Question Answers

Sherell Abaunza

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How much RAM do I need for machine learning?

Size of the RAM decide how much of dataset you can hold in memory. For Deep learning applications it is suggested to have a minimum of 16GB memory (Jeremy Howard Advises to get 32GB). Regarding the Clock, The higher the better. It ideally signifies the Speed — Access Time but a minimum of 2400 MHz is advised.

Dmitri Spears

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Is i3 enough for machine learning?

Normal PC have i3 or above processor 4 gb ram , 256 gb hdd. For websites normal PC is enough. For ML/AI you need 8 GB ram and GPU if you want to program deep networks. hdd depends on your requirements of the project, because some times training data will be huge.

Izascun Teper

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Is RTX 2060 good for machine learning?

On some of these deep learning benchmarks, we could not run the RTX 2060 6GB cards because of memory constraints. With 8GB, the new NVIDIA GeForce RTX 2060 Super has significantly more deep learning training potential.

Ovidiu Rahmacher

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Which OS is best for machine learning?

5 Options Considered
Best OS for deep learning Price Default Desktop Environment
-- Debian GNU/Linux - GNOME(CLI, Xfce, MATE, Cinnamon, KDE, LXDE & LXQt are available)
-- Arch Linux - N/A
-- Ubuntu FREE GNOME
-- Gentoo Linux - N/A

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Which laptop is best for AI?

RAM is not upgradable.
  • 2.) Microsoft Surface Pro (Intel Core i7, 16GB RAM, 512GB) – Newest Version.
  • 3.) Acer Predator Helios 300 Gaming Laptop, 15.6″
  • 4.) HP Pavilion Power 15.6-inch Laptop – Best Value for Money.
  • 6.) Lenovo Ideapad Full 15.6-inch HD Laptop – Cheapest Laptop.
  • 7.)
  • 8.)
  • 9.)

Lianne Bazilevsky

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Which graphic card is best for machine learning?

The best GPU for Deep learning is the 1080 Ti. It has a similar number of CUDA cores as the Titan X Pascal but is timed quicker. It's altogether more financially savvy than the highest point of-the-line Titan XP.

Pineda Meesters

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Is Macbook good for deep learning?

Now for some practical advise:
A mac is a great laptop and the main issue is that most laptops are simply not suited for deep learning. If you have the money to shell out on a Macbook Pro, I humbly suggest that consider looking at using cloud GPUs. A server node with a Tesla GPU goes today for about $1.5~$2 an hour.

Otilia Elcacho

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Is GTX 1050 good for deep learning?

The GTX 1060 6GB and GTX 1050 Ti are good if you're just starting off in the world of deep learning without burning a hole in your pockets. If you must have the absolute best GPU irrespective of the cost then the RTX 2080 Ti is your choice. It offers twice the performance for almost twice the cost of a 1080 Ti.

Madlena Durbaum

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Is 8gb RAM enough for data analysis?

Memory - 8GB ideal. 16GB better. Most data science tools load data into memory - and if you are running “big datadata sets - you will run out of memory very quickly.

Shamira Trombini

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Which language is best for deep learning?

Among all of the programming languages, Python is the most popular choice followed by C++, Java, JavaScript, and C#.
  • Best ML language.
  • machine learning.

Davis Tribaldos

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Which GPU is best for deep learning?

RTX 2080 Ti is the best GPU for Deep Learning from a price-performance perspective (as of 1/1/2019). The 2080 Ti trains neural nets 80% as fast as the Tesla V100 (the fastest GPU on the market).

Gaizkane Mihailin

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What is deep learning AI?

Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network.

Monika Fearns

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What kind of computer do you need for machine learning?

CPU - Intel 3.8 GHz Core i7-6850K. GPUs - 4 x NVIDIA PASCAL GTX 1080Tis 11 GB. System Memory - 64 GB DDR4-2666 System Memory. Storage - 1 TB SATA SSD for OS + 3 TB 7200 rpm HDD for Long-term Data Storage.

Aithor Minguillon

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What is the best laptop for deep learning?

Best Laptop For Machine Learning
Feature Specification
Processing(CPU) 3.9GHz Intel Core i7-8750H (quad-core, 9MB cache, up to 4.2GHz)
RAM 16GB DDR4 (8GB x 2, 2,400MHz)
Storage 512GB SSD (M.2)
Display 15.6″ FHD (1,920 x 1,080) – 144Hz, 7ms response

Ciaran Arrupe

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Are gaming laptops good for data science?

In my opinion, a gaming PC is ideal for a data scientist. They typically come with very good specifications, which you're going to need if you're serious about data science. OS: Windows, OS X or Linux. It doesn't really matter these days, but gaming PCs ship with Windows.

Janos Diliz

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What is GPU in laptop?

Definition of: GPU. GPU. (Graphics Processing Unit) A programmable logic chip (processor) specialized for display functions. The GPU renders images, animations and video for the computer's screen. GPUs are located on plug-in cards, in a chipset on the motherboard or in the same chip as the CPU (see diagram below).

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When did Apple stop using Nvidia?

In July 2008, NVIDIA publicly acknowledged a higher than normal failure rate for some of their graphics processors due to a packaging defect. At that same time, NVIDIA assured Apple that Mac computers with these graphics processors were not affected.

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Which laptop is best for data science?

The 8 Best Laptops for Data Science and Data Analysis in 2019 – Reviews
  • Dell i5577-5335BLK-PUS Inspiron 15" Laptop.
  • Apple 15" MacBook Pro.
  • Lenovo Ideapad Y700 17 Laptop.
  • ASUS VivoBook Thin and Light Gaming Laptop.
  • Dell XPS9560-7001SLV-PUS 15.6" Gaming Laptop.
  • Lenovo 320 Business Laptop.
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Which laptop is best for Python programming?

Best laptops for programming at a glance:
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  • Lenovo ThinkPad X1 Extreme laptop.
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  • MacBook Pro (15-inch, 2019)
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  • Google Pixelbook.
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