Each and every user of laptop purchases a laptop according to his needs and budget. Here we just specifically talk about best laptop for machine learning. Some users want to buy a laptop for entertainment while others for professional use. According to Wikipedia “Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead.
Let us know What Machine Learning is; Deep Learning and AI is Deep Learning: Deep learning is a subset of machine learning, which is based on artificial neural networks.
The learning process in deep learning is deep because the structure of an artificial neural network is connected with multiple inputs and outputs and a hidden layer to provide unified input data and information to the network.
Machine learning is a subset of artificial intelligence, and it uses deep learning techniques.
10 Best Laptop For Machine Learning Reviews 2021
It shows that machine learning is a specialized field and if you are looking to buy the best laptop for machine learning, you should select a machine with good specifications and advanced features to handle your machine learning assignments smoothly.
In this article we are going to discuss about 10 best laptops for machine learning which have excellent specifications and features that suit your requirements to deliver good value of money. We are trying to make your selection easy to save your precious time.
To finalize a laptop, you should consider the following aspects to make your selection perfect.
Processor: The most crucial part of a laptop is its processor. The recommended processor for machine learning is i7. Any lower level processor cannot perform well.
RAM: 16 GB memory is good enough for machine learning but if you have a decent budget than you should get 32 GB RAM for seamless multitasking.
Storage: It is less important than the above two aspects. You should go with minimum 512 SSD to get enough storage capacity and speed.
GPU: You should buy a laptop having graphics card with dedicated RAM. The integrated graphic cards cannot give you desired results. NVIDIA GeForce dedicated graphics series with minimum 4 GB RAM can work well.
Budget: One of the most important concerning aspects is the budget to buy any type of laptop. The recommended budget to buy a powerful machine for machine learning and deep learning with decent specification is in between $1000 to $3000.
ASUS ROG Zephyrus S is an ultra slim best laptop for machine learning and data science. It supports 15.6 inch Full HD display with IPS panel and super narrow bezels for silky smooth display. The NVIDIA GeForce RTX 2070 graphics with 8GB dedicated RAM produces sharper visuals without blurring it.
It is powered by the latest 8th Generation Intel Core i7-8750H processor with frequency up to 3.9 GHz for outstanding performance paired with 16 GB DDR4 RAM for effortless multitasking which makes this system the best laptop for machine learning engineer.
Asus ROG Strix G CPU- Intel Core i7-9750H RAM- 16GB DDR4 GPU- NVIDIA GeForce GTX 1650 Storage- 1TB PCIe Nvme SSD Display- 15.6” IPS Type FHD Check Price on Amazon This laptop has 16 GB DDR4 RAM and NVIDIA GeForce GTX 1650 GPU
Sufficient 512 GB flash memory storage drive can boost up and resumes this machine within seconds and quick file transfer. Its dual speakers deliver louder sound with deep base to enjoy the multimedia activities.
The process can take days or months without a GPU, but your best deep learning laptop can accomplish a single task in hours.
All types of essential ports are available including USB 2.0, USB 3.1 Type-A and USB Type-C to connect this machine easily with peripheral devices. The comprehensive cooling system can automatically adjust fan speeds according to the system’s temperature to keep the laptop cool.
The graphics are handled by the NVIDIA GeForce GTX 1660 Ti (8 GB GDDR6 dedicated) with Max-Q for power and efficiency combined.
Do you know that the display screen of the laptop is anti-glare so now it won’t affect your eyes even if you are working for longer hours.Let us have a detailed look in to the specifications of this laptop: Specifications: Screen size 15.6 inches Technology IPS Refresh rate 144 Hz Storage 512GB SSD RAM . 16GB DDR4 Processor Intel Core i7-8750H Graphics card Nvidia GTX 1070 8GB System Windows 10 Weight 4.6 pounds Why do we recommend GIGAByte Aero 15X: We would suggest you to opt for GIGAByte Aero 15X because of the following reasons: It is a light weighted laptop which makes it easy to be carried for work and studies.
The machine runs for more than two hours after it is unplugged from the power supply.
It is a configuration featuring an Intel Core i7-7700HQ processor and an NVIDIA GTX 1070 graphics card
Specifications of ASUS ROG Zephyrus S | |
Processor | 8th Generation Intel Core i7-8750H up to 3.9 GHz |
Graphics | NVIDIA GeForce RTX 2070 with 8GB dedicated RAM |
Display Size | 15.6 inch Full HD IPS display |
Memory | 16 GB DDR4 |
Storage | 512 GB SSD |
Battery | Lithium ion battery up to 4 hours |
Weight | 4.63 pounds |
Operating System | Windows 10 Home |
Dimensions | (L × W × H) 14.2 × 10.6 × 0.6 inches |
- Gorgeous display
- Excellent performance
- Comprehensive cooling
- Sleek and stylish
- Weak battery life
- Limited upgradability
To make it graphically superior, it consist of NVIDIA GeForce GTX 1050 graphics with 4GB dedicated RAM to deliver crystal clear details and superior visuals. It has 15.6 inch Full HD anti-glare LED backlit display and also has 512 GB SSD storage for fast and responsive data performance.
A variety of ports and slots increases the productivity of this machine. You can simply say that it is one of the best laptop for machine learning.
In a nutshell, this laptop is good for those machine learning enthusiasts who are looking for screen size, cooling, and processing power.
The display size of this laptop is 15.6 inches with IPS technology, the anti-glare screen gives the sharpest pixels, which I think is quite enough.
Generally, it is recommended that a laptop has at least 5 to 6 hours of battery life in it for it to be able to complete even the most basic computational tasks.
Specifications of Dell Inspiron i5577 | |
Processor | 7th Generation Intel Quad Core i7-7700HQ 2.8 GHz (up to 3.8 GHz, 6MB Cache) |
Weight | 5.66 pounds |
Display Size | 15.6 inch Full HD anti-glare LED backlit display |
Graphics | NVIDIA GeForce GTX 1050 with 4GB dedicated RAM |
Storage | 512 GB SSD |
Battery | Lithium polymer battery up to 5 hours |
Memory | 16 GB DDR4 |
Operating System | Windows 10 Home |
Dimensions | (L × W × H) 15.7 × 10.4 × 1 inches |
- Excellent performance
- Decent battery life
- Speedy storage
- Attractive design
- No optical drive
- Weak speakers
HP Omen 15 is one of the best hp laptop for machine learning. This laptop is for those who can’t sacrifice the performance. It includes a bundle of exciting features that makes this laptop one of the best laptops for machine learning and artificial intelligence.
It has many unique features plus delivers a very solid performance which can impress you for sure.
You can control every keystroke precisely with RGB customizable and comfortable keyboard while playing games because it is also the best gaming laptop for machine learning. It is equipped with 8th Generation Intel Core i7-8750H processor with frequency from 2.2 GHz up to 4.1 GHz and 9MB Cache for superb and fast performance.
With 16 GB memory and 512 GB SSD storage, you can feel the difference of smooth multitasking and fast boost of the system within seconds. It consists of 15.6 inch diagonal Full HD anti-glare Micro-edge WLED backlit display paired with NVIDIA GeForce GTX 1070 processor with 8GB dedicated RAM to enjoy crisp and sharp visuals.
It includes Processing power, RAM, GPU, OS, storage capacity, processor, and many more.
If you have a solid-state drive (SSD), we would recommend at least 256 GB of storage space.
There is no doubt, this gaming notebook is the most expensive one, but if you’re looking for a portable and powerful laptop, the HP Omen 15 would be the best option.
Omen by HP CPU- Intel i7-8750H Processor RAM- 32 GB RAM GPU- NVIDIA GeForce GTX 1070 Storage- 512 GB SSD Display- 15.6-Inch diagonal FHD IPS Anti-Glare micro-edge WLED-backlit (1920 x 1080) Check Price on Amazon HP is famous for Gaming Laptops, but its Omen series is amazing and has blown people’s minds.
Specifications of HP Omen 15 | |
Processor | 8th Generation Intel Core i7-8750H 2.2 GHz (up to 4.1 GHz, 9MB Cache) |
Weight | 5.26 pounds |
Display Size | 15.6 inch diagonal Full HD anti-glare Micro-edge WLED backlit display |
Graphics | NVIDIA GeForce GTX 1070 with 8GB dedicated RAM |
Storage | 512 GB SSD |
Battery | Lithium ion battery up to 4 hours |
Memory | 16 GB DDR4 |
Operating System | Windows 10 Home |
Dimensions | (L × W × H) 14.2 × 10.3 × 1 inches |
- Comprehensive ports
- High performance
- Thunderbolt USB-C available
- Excellent display
- A single hinge design
- Short battery life
Acer Predator 15-A is a best laptop for machine learning and deep learning. It is designed for those who require speed to complete their machine learning projects. It supports 15.6 inch Full HD widescreen IPS display and NVIDIA GeForce GTX 1070 graphics with 8GB dedicated RAM and NVIDIA G-SYNC technology for cool and sharp graphics.
It is one of the advanced graphics. It is relatively cool machine; Predator Frost Core keeps heat down and performance up. With programmable RGB backlit keyboard, you can customize backlit zones to get super accuracy.
The Predator dust defender ensures to keep your system dust free and clean with alternating airflow directions to maintain cool temperature. In includes two Built-in powerful stereo speakers and with Predator SoundPound you can enjoy clear and loud sound.
The Killer DoubleShot Pro supports Ethernet and Wi-Fi to work together that gives speed and high performance experience. Thunderbolt 3 and Built-in HD camera is also included.
Among the Components required for deep learning, the specification will determine the speed at which you execute deep learning software.
Here, let us understand the most important components of a deep learning computer.
If you want to use deep learning technology well on your Laptop, you must use at least the latest generation of i5 processors.
It should have a good Graphics Card In deep learning, machine learning, and artificial intelligence, having a high-quality GPU is very important.
Specifications of Acer predator 15-A | |
Processor | 6th Generation Intel Core i7-6700HQ 2.6 GHz (up to 3.5 GHz |
Weight | 8.16 pounds |
Display Size | 15.6 inch Full HD widescreen IPS display |
Graphics | NVIDIA GeForce GTX 1070 with 8GB dedicated RAM |
Storage | 256 GB SSD + 1TB HDD |
Battery | Lithium ion battery up to 3 hours |
Memory | 16 GB DDR4 |
Operating System | Windows 10 |
Dimensions | (L × W × H) 15.4 × 11.8 × 1.5 inches |
- Thunderbolt 3 is available
- High performance
- Excellent display
- Dual storage
- Quite heavy
- Short battery life
MSI GS65 Stealth-002 is a good laptop for machine learning. Having great specifications, it can be used as a multi-purpose machine. In consists of powerful 8th Generation Intel Core i7-8750H processor with frequency from 2.2 GHz up to 4GHz to control system elegantly while massive 32 GB DDR4 RAM can easily handle all intensive multitasking.
It supports 15.6 inch Full HD anti glare wide view angle thin bezel display paired with NVIDIA GeForce RTX 2070 with 8GB dedicated RAM to experience real life picture quality. This makes MSI is on the best laptop GPU for machine learning. The Razor thin bezels give 82% screen to body ratio to optimize your vision.
You can enjoy the productivity on the go with its long life battery having battery life up to 8 hours to complete your long machine learning assignments. The silky glass touchpad is I perfect for smooth click, scroll and multi-touch gesture experience.
Specifications of MSI GS65 Stealth-002 | |
Processor | 8th Generation Intel Core i7-8750H 2.2 GHz (up to 4GHz) |
Weight | 4.19 pounds |
Display Size | 15.6 inch Full HD anti glare wide view angle thin bezel display |
Graphics | NVIDIA GeForce RTX 2070 with 8GB dedicated RAM |
Storage | 512 GB SSD |
Battery | Lithium ion battery up to 8 hours |
Memory | 32 GB DDR4 |
Operating System | Windows 10 Home |
Dimensions | (L × W × H) 15.1 × 10.2 × 1.2 inches |
- Powerful processor
- Highly portable
- Huge memory
- Long life battery
- No SD card slot
- Bit noisy
Gigabyte AERO 15-X9-RT5P has best laptop configuration for machine learning. It has been won the Europe Hardware Awards 2019 for Best Notebook. Having many advanced features it is very popular among professionals and game lovers.
It is used high performance parts including powerful Intel Core i7-8750H processor with base speed 2.2 GHz that can turbo up to 4GHz and sufficient 16 GB RAM for seamless multitasking. This configurations rank it as the best laptop to buy for machine learning.
It consists of 15.6 inch Full HD anti glare ultra thin bezel display that is X-Rite Panton Certified for color calibration. To get crisp and sharp graphics, NVIDIA GeForce RTX 2070 graphics with 8GB dedicated RAM that supports NVIDIA Optimus technology is used.
You can simply consider this machine as best workstation laptop for machine learning. Storage is not an issue because it includes a large storage capacity with up to 1TB SSD to store your large apps or your important data at internal storage.
Specifications of Gigabyte AERO 15-X9-RT5P | |
Processor | Intel Core i7-8750H 2.2 GHz (up to 4GHz) |
Weight | 4.49 pounds |
Display Size | 15.6 inch Full HD ultra thin bezel display |
Graphics | NVIDIA GeForce RTX 2070 with 8GB dedicated RAM |
Storage | 1TB SSD |
Battery | Lithium polymer battery up to 8 hours |
Memory | 16 GB DDR4 |
Operating System | Windows 10 Pro |
Dimensions | (L × W × H) 14 × 9.8 × 0.7 inches |
- Sleek and stylish
- Powerful performance
- Decent battery life
- Lightweight and portable
- Rough trackpad
- Bit long response time
Asus ROG Zephyrus GX501 is the best laptop for machine learning programming. It is an ultra slim revolutionary laptop for persistent dedication to innovation. It is installed with powerful 8th Generation Intel Core i7-8750H processor with turbo frequency up to 3.9GHz for productive performance.
The latest and huge 32 GB memory with blazing fast speed is used for effortless multitasking while 512 GB SSD storage not just store large data but also give speed. The incredible onboard speakers with SmartAmp technology is used to enjoy loud and clear audio quality.
It has an efficient Active Aerodynamics System with unique Aero Accelerator technology to keep the system’s temperature at a moderate level. It is slightly expensive but because of its outstanding specifications there is no doubt that it is one of the best laptop specs for machine learning.
There is only one issue regarding its fan, it gets a bit noisy while performing some heavy tasks.
Specifications of Asus ROG Zephyrus GX501 | |
Processor | 8th Generation Intel Core i7-8750H up to 3.9GHz |
Weight | 4.97 pounds |
Display Size | 15.6 inch Full HD ultra thin bezel display |
Graphics | NVIDIA GeForce GTX 2070 with 8GB dedicated RAM |
Storage | 512 GB SSD |
Battery | Lithium polymer battery |
Memory | 32 GB DDR4 |
Operating System | Windows 10 |
Dimensions | (L × W × H) 14.9 × 10.3 × 0.7 inches |
- Powerful processor
- Fairly portable
- Superb display
- Innovative cooling system
- Bit noisy
- Flimsy thermal panel
Acer Predator Triton 700 is one of the best laptops for machine learning students. Although it is an expensive laptop yet it has premium build quality with metal body that makes it sturdy and strong. The uniqueness of this laptop is its trackpad placement; it is at the upper side of the keyboard rather at the lower side.
It is powered by 7th Generation Intel Core i7-7700HQ processor with up to 3.8GHz of frequency paired with extensively large 32GB RAM to help multitasking with ease. It consists of 15.6 inch Full HD LED-backlit IPS display for spotless picture quality and NVIDIA GeForce GTX 1080 graphics with 8GB dedicated RAM to experience outstanding graphics.
The RGB Mechanical keyboard is super responsive with RGB backlit. The battery backup time is not too impressive; its average time is just up to 2 hours. Its unique designed metal Aero Blade 3D fans provide maximum airflow into the system to keep heat away from it that increases productivity.
Specifications of Acer Predator Triton 700 PT715-51 | |
Processor | 7th Generation Intel Core i7-7700HQ up to 3.8GHz |
Weight | 5.4 pounds |
Display Size | 15.6 inch Full HD LED-backlit IPS display |
Graphics | NVIDIA GeForce GTX 1080 with 8GB dedicated RAM |
Storage | 512 GB SSD |
Battery | Lithium polymer battery up to 2 hours |
Memory | 32 GB DDR4 |
Operating System | Windows 10 |
Dimensions | (L × W × H) 15.5 × 10.5 × 0.7 inches |
- Excellent display
- Superb performance
- Mechanical RGB keyboard
- Glass touchpad
- Odd placement of keyboard and touchpad
- Poor battery life
Asus ZenBook 13 is the best windows laptop for machine learning. You can unleash your creativity with this small but powerful machine. It has many exciting features including an exclusive dual function touchpad with switchable numeric keypad for speedy data input for your machine learning projects.
The ErgoLift design is very comfortable with improved typing position to optimize your user experience. It is featured with latest 8th Generation Intel Quad Core i7-8565U processor with up to 4.6 GHz of speed. A fairy large memory of 16 GB size can handle multitasking easily. It has been won the iF Design Award of quality for exceptional design.
The iF label is one of the most important and outstanding design prizes in the world. It has 13.3 inch Full HD Nano-Edge bezel display with 95% screen to body ratio and an integrated Intel HD Graphics 620. It includes almost every connection option that you need to connect your system with peripheral devices.
Specifications of Asus ZenBook 13 | |
Processor | 8th Generation Intel Quad Core i7-8565U up to 4.6 GHz |
Weight | 2.6 pounds |
Display Size | 13.3 inch Full HD Nano-Edge bezel display |
Graphics | Integrated Intel HD Graphics 620 |
Storage | 512 GB SSD |
Battery | Lithium polymer battery up to 14 hours |
Memory | 16 GB DDR3 |
Operating System | Windows 10 Pro |
Dimensions | (L × W × H) 11.9 × 7.4 × 0.7 inches |
- Outstanding keyboard and touchpad
- Extra long battery life
- Good performance
- Ultra slim and portable
- No Thunderbolt-C
- Small screen size
Lenovo ThinkPad X1 is the best Lenovo laptop for machine learning. It just not has an elegant design but also has seamless responsiveness and legendary durability to get productive outcomes. It can handle all important computing tasks without any hitch. It is powered by the latest 8th Generation Intel Core i7-8750H processor with frequency from 2.2 GHz up to 4.1 GHz and 9MB Cache for high performance.
The robust security and privacy features increase its trusted reliability while rapid charge technology boosts up its productivity level. It supports 15.6 inch Full HD anti glare display with IPS technology paired with NVIDIA GeForce GTX 1050Ti Max-Q graphics with 4 GB dedicated RAM to experience bright, accurate colors and refined details of visuals.
The 16 GB DDR4 RAM is used for seamless multitasking while 512 GB SSD storage an exceptionally rapid to transfer your data.
Specifications of Lenovo ThinkPad X1 Extreme Gen 1 | |
Processor | 8th Generation Intel Core i7-8750H 2.2 GHz (up to 4.1 GHz, 9MB Cache) |
Weight | 4.7 pounds |
Display Size | 15.6 inch Full HD anti glare IPS display |
Graphics | NVIDIA GeForce GTX 1050Ti Max-Q with 4 GB dedicated RAM |
Storage | 512 GB SSD |
Battery | Lithium polymer battery |
Memory | 16 GB DDR4 |
Operating System | Windows 10 |
Dimensions | (L × W × H) 14.5 × 9.9 × 0.8 inches |
- Outstanding performance
- Comfortable keyboard
- Long lasting battery life
- Sleek and stylish
- Noisy on full load
- Average speakers