Laptop is an easy gadget which allows you to work and get connected with the workplace from any place in the university, library or even if you are out somewhere let’s say in a garden on a sunny day. Now working on educational projects is more convenient and the student does not only rely on desk tops.
If you are a student of engineering and you require deep learning and or you might be a Data Science Professional, in search of one of the best laptops which can cater your needs of carrying the study projects, then this article is worth reading. For random readers, we will define a laptop for deep learning as,” Deep learning is a field with exceptional computational prerequisites and the choice of your GPU will in a general sense decide your Deep learning knowledge”.
We focused our expertise on identifying the best laptops that allow Machine Learning (ML) implementation while working well with Data Science, Deep Learning, Neural Networking, and the entire AI field.
Therefore, the laptops on this list can easily run applications like Tensorflow, Knime, Neural Designer, Keras, MXNet, Theano, RapidMiner, and more, which come with dataflow libraries. All our selections have ultrafast processors with the maximum number of cores at different budget levels.
For all the direction that Samsung laptops of the past have shown, it is ironically becoming clear that Samsung is becoming disillusioned when it comes to the design of laptops. The Samsung Notebook 7 13.3” doesn’t shake that feeling at all. However, if you look past the looks, the Notebook 7 delivers when it counts with an arsenal made up of up to 16Gb RAM, a Core i7 processor and a strong 256GB SSD hard drive that can be upgraded to 512Gb if needed. That said, it is perhaps only faster at transcoding videos from 4k to 1080p than some other laptops in its class, and is warm enough to make it hard to swallow with a basic graphic card, but that’s not saying it doesn’t farm videos well, it does.
| Display Size | 13.3 Inches |
| Max Screen Resolution | 1920 x 1080 Pixels |
| Processor | 1.8 GHz core_i7_8750h |
| RAM | 8 GB DDR3 |
| Hard Drive | Flash Memory Solid State |
| Chipset Brand | Intel |
| Card Description | Integrated |
| Wireless Type | 801.11ac |
| Number of USB 3.0 Ports | 2 |
When it comes to displays, the Samsung Notebook 7 has 13+ inches of white balance accuracy and color reproduction to defend it. Also, it’s screen resolution is no scam, outdoing itself with an absolute clarity that will be appreciated by even people with little to no knowledge about screens. All that matters though, is that the Notebook 7’s middling quality is okay for its price
The rise of Business Intelligence & Analytics has brought forth the utility of laptops from MSI to data scientists and creatives alike. Creator 15 gives the best combination of powerful CPU, GPU, and a 4K display that takes your experience to a whole new level. High-end data intelligence applications like Tableau, TensorFlow run seamlessly, credit to the octa-core processor in Intel Core i7-10875H that can clock at a max speed of 5.1GHz. The NVIDIA GeForce RTX 2070 GPU brings the power of a dedicated 8GB memory that handles processor-intensive design software and games as well.
The symbiosis of 32GB RAM and 1TB SSD can crunch large amounts of data used in tools like Apache Mahout, Shogun, KNIME, etc. Windows 10 Pro is ideal for working professionals with built-in tools for encryption, remote access, and quick login with Windows Hello authentication.
| Brand | MSI |
| Item model number | Creator 15 A10SFS-287 |
| Operating System | Win 10 Pro |
| Item Weight | 4.63 pounds |
| Product Dimensions | 21.9 x 13.3 x 3.4 inches |
| Item Dimensions LxWxH | 21.9 x 13.3 x 3.4 inches |
| Color | Space Gray with Silver Diamond cut |
| Processor Brand | Intel |
| Processor Count | 8 |
| Computer Memory Type | DDR4 SDRAM |
| Flash Memory Size | 32 |
| Hard Drive Interface | Thunderbolt 3 |
| Power Source | Battery Powered |
| Batteries | 1 Lithium ion batteries required. |
It’s backlit keyboard skips the numeric pad and adds more room to the keys. The key-travel remains ideal for long working sessions. The touch is wider with a fingerprint reader at the left corner and still finds sufficient room for multi-touch gestures.
The Vivobook K571 blends processing power, dedicated graphics, and extensive storage making it ideal for working professionals involved in machine learning, business analytics. The 15.6-inch FHD screen delivers visuals at a high resolution of 1920 x 1080 pixels, adding more life to immersive gaming. The Intel Core i7-10750H has six multithreading cores that can operate at a turbo speed of 5GHz. The NVIDIA GeForce GTX 1650 has a dedicated graphics memory of 4GB that aids in high-level data processing, mid-range gaming.
The 16GB RAM is crucial for multitasking. The combination of 256GB SSD and 1TB HDD gives the privilege of ample storage and quick accessibility for high-end tools. Windows-10 Home edition offers a user-friendly ecosystem for a variety of applications.
| Display Size | 15.6 Inches |
| Screen Resolution | 1920 x 1080 |
| Max Screen Resolution | 1920 x 1080 Pixels |
| Processor | 4.5 GHz apple_ci7 |
| RAM | 16 GB DDR4 |
| Memory Speed | 4.5 GHz |
| Hard Drive | 1 TB Flash Memory Solid State |
| Graphics Coprocessor | NVIDIA GeForce GTX 1650 |
| Chipset Brand | NVIDIA |
| Card Description | Dedicated |
| Graphics Card Ram Size | 4 GB |
| Wireless Type | 802.11a/b/g/n/ac, Bluetooth |
| Number of USB 2.0 Ports | 2 |
| Number of USB 3.0 Ports | 2 |
The battery remains one of the weaker points. A three-cell 42Wh battery can eke out up to 5 hours, contingent on usage. ASUS Vivobook K571 is ideal for working professionals at the forefront of machine learning and deep learning, looking for an entertainment companion at home.
ASUS ROG Strix G15 brings an intelligent cooling system to its gaming machine powered by a powerful processing combo.A multi-threading Hexa-core processor from Intel Core i7-10750H and the latest ray tracing technology in NVIDIA GeForce RTX 2060 with a dedicated memory of 6GB makes this a reliable laptop for machine learning and processing big data. The 16GB RAM and 512GB SSD bring a wealth of multitasking power and a good amount of storage to this computing machine to run virtual machines. You can also upgrade the memory if needed.The thin bezels of the 15.6-inch display deliver visuals at a high resolution of 1920 x 1080 pixels. The 144Hz refresh rate keeps the gaming visuals smooth and reduces motion blur. At 5.28 pounds, the matte grey chassis looks hefty. The thermal system and ventilation make the laptop look somewhat bulky.
| Display Size | 15.6 Inches |
| Max Screen Resolution | 1920 x 1080 Pixels |
| Processor | 5 GHz corei7_10750h |
| RAM | 16 GB |
| Memory Speed | 2933 MHz |
| Graphics Coprocessor | NVIDIA® GeForce RTX™ 2060 |
| Chipset Brand | NVIDIA |
| Card Description | Dedicated |
| Wireless Type | Bluetooth, 802.11ax |
With four USB Ports, an HDMI port, an Ethernet port, and an audio jack, ASUS takes care of its wired connectivity. You can easily connect multiple external displays.
ASUS brings a gaming beast that can serve as a great work laptop for deep learning and ML professionals handling high-end computations with large datasets in the stream of data analysis, mining, and deep neural learning.
The Nitro 5 from Acer is rugged, durable, and weighs close to the 5-pound mark. The build quality is impressive and you wouldn’t even notice the spanning plastic, courtesy of the metallic accents. As far as the display is concerned, the 15.6 Full HD screen is sharp and perfect for gaming.
Also, you need not ruminate over the retouched tag as the 1920 x 1080 screen is one of the best resources to invest in, as a gamer. Plus, the Comfyview technology, or rather the anti-glare support allows you to play most games, without having to stress out the eyes.
| Display Size | 15.6 Inches |
| Max Screen Resolution | 1920 x 1080 |
| Processor | 4.1 GHz core_i5 |
| RAM | 8 GB DDR4 |
| Memory Speed | 4.1 GHz |
| Hard Drive | 256 GB Flash Memory Solid State |
| Graphics Coprocessor | NVIDIA GeForce GTX 1650 |
| Chipset Brand | NVIDIA |
| Card Description | Dedicated |
| Wireless Type | 801.11ac |
| Number of USB 2.0 Ports | 1 |
| Number of USB 3.0 Ports | 2 |
| Average Battery Life (in hours) | 8 Hours |
One of the many outstanding features of this powerful laptop is its attention to detail in the design. In addition, it is thoughtfully fitted with a supercooling system (Acer CoolBoost technology) and vents to keep the laptop cool while working. If you like lightweight laptops, Acer Nitro 5 is the best possible option.
Hope you have found your best laptop among these 5 Best Laptops for Deep Learning and Machine Learning in 2021. I tried to list the laptops that meet the minimum requirement for machine learning and deep learning. If you know of any other laptop that is best for machine learning or deep learning, let me know in the comment section.
A superior GPU and CPU at the helm can expedite the training process of deep learning models that usually take hours and in some cases a few days. However, below laptops can provide enough processing power for most of the machine learning-based projects.
The larger the RAM the higher the amount of data it can handle, leading to faster processing. With more RAM you can use your machine to perform other tasks as the model trains. Although a minimum of 8GB RAM can do the job, 16GB RAM and above is recommended for most deep learning tasks.
You can go for this 3050ti without any hesitation. Even a 3060 is not fast enough for any practical projects. It’s good enough to start and learn deep learning but once you start working on real projects they won’t fit in the GPU memory. Only laptop GPU which I can think of is the 3080 with 16GB VRAM.
Deep learning applications are used in industries from automated driving to medical devices. Automated Driving: Automotive researchers are using deep learning to automatically detect objects such as stop signs and traffic lights. In addition, deep learning is used to detect pedestrians, which helps decrease accidents.
Python is a general-purpose high level programming language that is widely used in data science and for producing deep learning algorithms. This brief tutorial introduces Python and its libraries like Numpy, Scipy, Pandas, Matplotlib; frameworks like Theano, TensorFlow, Keras.
