I am working on my machine learning thesis and need to handle large datasets (insurance claims over several years). I need to buy a laptop that can handle this without issues. Can you recommend a good laptop, specifying brands and specs?
The top ten laptops for machine learning in 2024 are as follows:
The following devices are listed in order of preference: Apple MacBook Pro M2, Dell G15 5530, TensorBook, ASUS ROG Strix G16, Razer Blade 17 Gaming Laptop, Dell XPS 17, and MacBook Pro 14-Inch (2021)
Apple MacBook Pro M1 Max (2023): Featuring Apple’s latest M1 Max chip, this laptop boasts a 16.2-inch Liquid Retina XDR display and up to 21 hours of video playback. While powerful, it comes at a premium price.
Dell XPS 17 9720: With up to a 12th Gen Intel Core i9 HK processor and a stunning OLED display option, this Windows laptop is ideal for data visualization tasks. It offers various configuration options to suit different needs and budgets.
Microsoft Surface Laptop Studio: Unique and versatile, this laptop features a dynamic hinge allowing for various modes, including tablet and tent modes. It offers a 14.4-inch PixelSense Flow touchscreen with a high refresh rate for smoother user experience.
Razer Blade 15 Studio Edition: A gaming laptop that excels at professional tasks, it boasts a powerful Intel Core i9 processor and a stunning OLED touchscreen with a high refresh rate. However, its battery life is shorter compared to other options.
Asus ROG Strix G15 Advantage Edition: Powered by an AMD Ryzen 9 processor, this gaming laptop offers a good balance of speed and capacity with its combination of SSD and HDD storage. It features a QHD IPS display with a high refresh rate for an immersive experience.
Known for its powerful performance and high-quality display, the MacBook Pro is a popular choice among machine learning professionals, especially those working with macOS-compatible software like
2.TensorFlow and PyTorch.Dell XPS 15
This laptop offers a good balance of performance and portability, with options for high-end processors and dedicated graphics cards that are well-suited for machine learning tasks.
3.Lenovo ThinkPad P Series
The ThinkPad P Series is known for its robust build quality and powerful hardware options, making it a reliable choice for intensive machine learning workloads.
I suggest considering a MacBook Pro or Air if it fits your budget. Since any server you connect to will be Linux-based, having a Unix-like system locally (rather than DOS) is advantageous.
Additionally, the M1 chips are capable enough to run small models and lightweight tasks locally, which can be helpful for prototyping or verifying before submitting server jobs.
For your machine learning thesis and handling large datasets, I recommend the Dell XPS 15 with an Intel Core i7 or i9 (latest generation) processor, 32GB RAM, 1TB SSD, NVIDIA GeForce GTX 1650 or better graphics, and a 15.6" 4K UHD+ (3840 x 2400) display. This laptop is powerful enough to handle large datasets and intensive machine learning tasks. Personally, using the Dell XPS 15 has significantly boosted my productivity in academic projects. The high-performance processor and ample RAM make data processing and model training smooth, while the high-resolution display helps in visualizing complex data effectively. It’s been a reliable and efficient tool for my academic work, allowing me to focus more on the research rather than dealing with technical limitations.
Selecting the best laptop for machine learning involves balancing processing power, memory, GPU capabilities, and overall build quality, but For most machine learning tasks, the Dell XPS 15 and the Apple MacBook Pro 16-inch, are highly recommended for their balance of performance, build quality, and portability, if you need maximum GPU power and do not mind a heavier laptop, the Razer Blade 17 or ASUS ROG Zephyrus G14, are excellent choices. The Lenovo ThinkPad P1, is ideal for those needing enterprise level durability and customization options
Sticking to the laptop form factor is going to difficult to get a big enough GPU without being unreasonably big and heavy (at which point the laptop is more of a desktop anyways). One possible solution is to use cloud services for your GPU needs and get a much lighter and cheaper laptop.
Hey, Machine learning tasks benefit from multi-core processors with high clock speeds. Look for Intel Core i7 or i9 processors (or equivalent AMD Ryzen processors) for optimal performance.
Choosing the best laptop for machine learning depends on several factors such as budget, performance requirements, and specific needs, but I would suggest you go for Apple MacBook Pro
Known for its powerful performance and high-quality display, it is a popular choice among machine learning professionals, especially those working with macOS-compatible software like
Hello Jane, I will recommend The Apple MacBook Pro M1 Max features the high-performance Apple M1 Max chip, making it ideal for machine learning. It boasts a 10-core CPU, 32-core GPU, 16GB of unified memory (RAM), and a base storage of 512GB. Nonetheless, its premium performance is matched by a premium price tag.