The fast-growing and multitasking life needs a handy yet powerful electronic notebook that works for all. Every buyer investing in a laptop does some research based on his requirement before hitting the store.
When we talk about data science and machine learning laptops, they are used by scientists and professionals for handling hardcore jobs easily. Data science laptops need to have color accuracy and better viewing angles as well as accuracy in processing data. We have taken the effort to review 10 best laptops for data science and machine learning in 2020.
Best Laptops For Data Science And Machine Learning
If you are into data science, you need a specific laptop which is high-end and faster. Therefore we have compiled a list of 10 best laptops for data science and machine learning based on various factors to help you make the right decision.
1.Dell Inspiron 15.6″ Full HD
This laptop is well crafted to suit your comfortability as you perform your data analysis task. It is featured with a stylish, brushed hairline palm rest. It is thin; only 23.3 mm, which makes it easier for you to carry around. The laptop also comes with a long-life battery that serves you for up to seven hours and can sustain you as you work on hefty data science software that usually consumes a lot of resources. It also provides the user with an optional backlit, bottom-mount keyboard that makes typing more enjoyable and comfortable.
Specifications
- Screen Size: 15.6″ Full HD
- RAM: 8 GB DDR4
- Processor: 3.5 GHz Intel Core i5 processor
- OS: Windows 10
- Graphics Coprocessor: NVIDIA GeForce GTX 1050
- SSD: 256GB
- Ports: 3 USB ports
- Weight: 5.66 pounds
- Battery Life: 7 hours, 1 Lithium Polymer battery
Pros
- Great graphics performance.
- Elegant design.
- Widescreen adds comfort to the gaming experience.
Cons
- Reduced battery performance.
- Speaker placement is not appropriate.
2. New Apple MacBook Pro
The designer of this laptop paid more attention to the battery performance as it has an expansive time of operation of up to 10 hours wireless. With this feature, this laptop becomes the most ideal type for data science and machine learning. Additionally, its operating system and the processor is capable of performing a hefty task at a faster rate. The Apple MacBook Pro comes with 256GB or 512GB of SSD of storage, and therefore capable of storing large files. Furthermore, faster-sharing and transfer of data have been made possible with the availability of 4 Thunderbolt USB ports.
Specification
- Screen Size: 13-inch Retina Display with True Tone
- Processor: 2.4GHz quad-core Intel Core i5 with Turbo Boost up to 4.1GHz
- OS: iOS
- Graphics Coprocessor: Intel Iris Plus Graphics 655
- SSD: 256GB or 512GB SSD
- Ports: Four Thunderbolt 3 (USB-C) ports
- Weight: 1.37 kg
- Battery Life: Up to 10 hours
Pros
- Light-weight and sleek design.
- The performance of the processor is good.
- The storage capacity is great.
Cons
- The keyboard has shallow travel.
- Heavy on the pockets.
3. MSI 15.6” GL62M Laptop
The MSI Laptops are known for their power. It has an awesome processor for a speedy performance. It has a nice screen size that will showcase nice pictures and information very clearly in HD. The laptop is also light in weight and thus one can be able to carry it with ease. Additionally, it comes with immense storage making it suitable for data science software. Students pursuing data science and machine learning courses will find this laptop worth purchasing. The backlit keyboard which is usually red allows one to use while in a dark room.
Specifications
- Screen Size: 15.6 inches
- RAM: 16 GB DDR4
- Processor: 2.8 GHz Intel Core i7
- OS: Windows 10
- Graphics Coprocessor: Nvidia GTX 1050 2Gb
- SSD: 128 GB
- Ports: 4
- Weight: 5.29 pounds
- Battery Life: up to 4 hours
Pros
- Immense storage for heavy files.
- Good speakers provide great sound quality.
- Light-weight laptop.
Cons
- The display quality is not good.
- Reduced battery life.
4. Acer Aspire R 15 2-in-1 Laptop
This is with no doubt the ideal laptop for data science and machine learning. This laptop comes with high-level specs that provide awesome features that anyone would yearn for. A full HD widescreen with an LED-backlight IPS display that supports the clear view. Another nice feature of this laptop is that it is a multi-touch screen.
It has a great processor that ensures faster performance. For security purposes, this laptop is featured with a fingerprint. The longer battery of this laptop can allow you to work for up to 9 hours in case of a blackout.
Specifications
- Screen Size: 15.6 inches
- Processor: 2.7 GHz Intel Core i7
- RAM: 12 GB DDR4
- OS: Windows 10
- Graphics Coprocessor: NVIDIA 940MX
- Ports: 3
- Weight: 4.74 pounds
- Battery Life: 9 hours
Pros
- The product is value for money.
- The convertible design is the winner.
- The performance report is good.
Cons
- The display is reflective.
- The tablet mode is preferably large.
5. Acer Swift 5 Ultra-Thin Laptop
The developer of Acer Swift 5 Ultra-Thin Laptop paid more attention to its size to suit the demand of its users. Acer Swift 5 ultra-thin laptop has been selected among the best laptops for data science and machine learning. It’s thin and light in weight. It has amazing features like high-speed processor, Acer-Bio protection fingerprint solution, computer protection, and window hello certification. It has a faster processor and a long life battery span. This is for sure the ideal laptop for data science and machine learning. It provides the necessary features that can handle the heavy resources hungry software that data science requires, not forgetting the protection it offers for one’s information inside the laptop.
Specifications
- Screen Size: 15.6 inches
- Processor: 4.6 GHz Intel Core i7
- RAM: 16 GB DDR4
- OS: Windows 10 Home
- Graphics Coprocessor: Intel HD Graphics 620
- SSD: 256 GB
- Ports: 3
- Weight: 2.2 pounds
- Battery Life: 10 hours
Pros
- The processing speed is the winner.
- Incredibly lightweight.
- The laptop remains cool and silent when processing.
Cons
- The keyboard layout is uneasy.
- The body lacks flexibility.
- The speakers are not up to the mark.
6. ASUS VivoBook Thin and Light Laptop
ASUS has paid a lot of attention to the portability and weight while designing VivoBook. The processor and operating system are likely to manage all kinds of hefty files, documents and resource-hungry data science software.
Whether it is heavy duty work on excel or the large games, ASUS Vivobook would pull off everything. The model is best for typing and navigation as there is a decent keypad with a separate numeric pad has also a broad navigation panel.
Specifications
- Screen Size: 15.6 inches
- Processor: Intel Core i7-7700HQ
- RAM: 16 GB DDR4
- OS: Windows 10
- Graphics Coprocessor: NVIDIA GeForce GTX 1050
- SSD: 256.0
- Ports: 3
- Weight: 5.1 pounds
- Battery Life: Up to 3 hours
Pros
- Impressive design.
- Tons of storage capacity.
- The product is value for money.
- Strong features.
Cons
- The battery performance is mediocre.
- The display of the laptop is not great.
7. Dell XPS 15 Laptop
Dell XPS 15 laptop is capable of handling the basic data analysis tasks and thus it’s suitable for students who are in data science and machine learning. It has an immense storage space that accommodates hefty files and its processor allows for a speedy performance.
This laptop is light in weight and thus one can easily carry it around. It has an intelligently designed keypad and also it’s suitable for students as its price is pocket-friendly.
As a data science and machine learning student, this laptop suits all your basic needs and therefore you should have one.
Specifications
- Screen Size: 15.6 inches
- RAM: 16 GB
- Processor: 2.6 GHz Intel Core i7
- OS: Windows 10
- SSD: 512 GB
- Ports: 3
- Weight: 13.8 ounces
Pros
- The laptop is light weighted.
- The model is eye-catchy.
- The keypad is intelligently designed.
- The model is pocket-friendly.
Cons
- The storage size is less.
- The processing speed is compromised.
8. HP Envy 17t Touch Laptop
HP Envy 17t Touchscreen Laptop comes with a high-end design that surpasses the status quo of a premium laptop. It’s built to tackle any hefty task. It has an awesome display that is attributed to the 8 million pixel display. It has a daring aluminum design that attracts anyone’s attention.
Whether it’s gaming or performing a hefty task like in data science, this laptop can conquer it all. It has immense storage packed with high memory RAM for the storage of resource-hungry files. The model is also best for typing as it has a full-size keyboard and all the ports that you need.
Specifications
- Screen Size: 17.3 inches
- Processor: 1.8 GHz Intel Core i7
- RAM: 32 GB DDR4
- OS: Windows 10
- Graphics Coprocessor: NVIDIA GeForce MX Series
- SSD: 1 TB
- Weight: 6.14 pounds
Pros
- The overall performance was good.
- The display of the laptop is the winner.
- The audio quality of great.
Cons
- The hefty size of the laptop.
- The quality of the brightness is compromised.
- No-touch option despite 4k resolution.
9. Asus ROG Strix G Laptop
The design and processor were the priority features by Asus in this model. The laptop is designed in a way that could make gaming experience to be impactful. The transfer and processing speed of this model is great. Gaming usually takes a lot of space in any kind of laptop and some may even be short of that space. But Asus ROG Strix G Laptop has immense storage that allows one to store several games.
Specifications
- Screen Size: 17.3 inches
- Processor: 4.5 GHz Intel Core i7
- RAM: 16 GB DDR4
- OS: Windows 10 Home
- Graphics Coprocessor: NVIDIA GeForce GTX 1650
- SSD: 512
- Weight: 6.28 pounds
Pros
- Great graphic performance.
- The product is value for money.
- The speaker quality is at par.
Cons
- The product is slightly heavy.
- The display lacks the quality of brightness.
10.Lenovo IdeaPad C340 Laptop
This is one of the amazing models of Lenovo that has ever been developed. It’s light in weight and therefore easy to carry around. It is featured with a webcam shutter for extra privacy purposes. With this model, you will not worry about the power shortage. It is an all-day battery, you can use it anytime you want. It’s light in weight and has a great processor performance.
Specifications
- Screen Size: 15.6 inches
- Processor: 1.3 GHz Intel Core i7
- RAM: 20 GB DDR4
- OS: Windows 10
- Graphics Coprocessor: Integrated Intel Iris Plus Graphics
- SSD: 2 TB PCIe SSD
- Weight: 3.96 pounds
Pros
- Easy start-up and shut down.
- Very silent
- The processor performance report is great.
Cons
- The screen color and brightness are compromised.
- Poor battery life due to excessive power consumption.
Conclusion
There are multiple options available in the market due to the overgrowing technology and demands of the best laptops for data science and machine learning. The intelligent buyer knows their requirement and thus acts upon it. The handpicked list consists of many options depending upon the processors, memory space, size, price, and many other options. The above-mentioned products of best laptops for data science and machine learning are top-rated and thus despite early launches, they have made the space of the list. For that reason, the readers can choose the product as their customized requirement.
