5 Best Laptops for Machine and Deep Learning & Price

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What are the best laptops for machine and deep learning? Typically, machine and deep learning is a subset of Artificial Intelligence but it has become synonymous with AI now due to its popularity.

Since it is all about data and technical activities, you will need a suitable computer for machine and deep learning, preferably a laptop.

This is because the basic principle of machine learning is to automate a computer system. This will help you to study a huge amount of data and analyze them to come at a decision based on your findings.

Ideally, the entire process needs to be completed without any kind of human intervention.

In addition to that, you will also be using a lot of heavy machine learning algorithms for your study and preparing the data analysis report. This, once again, calls for a powerful and efficient laptop.

Ideally, you will be better off if the specs of your laptop are similar to those high-end gaming laptops, but then your affordability may come into consideration.

Otherwise, in a laptop for machine and deep learning, the RAM should be at least 16 GB, good and powerful CPU and graphics card.

This will help you to deal with the large data sets, resource intensive algorithms, and processing graphics and videos as well, which is essential for deep learning.

Without all these in your laptop, your project may take days and even months to complete, depending on the size of the data.

However, it does not mean you will need to have the expertise of a data learning or Artificial Intelligence expert to choose one for you.

Still, with limited or no knowledge at all you may find yourself lost looking at the humongous list of different models of laptops available on the market offered by an equally large number of brands.

If that is the case, then you will surely love this article with the recommendation of some of the best laptop models for machine and deep learning.

Follow it and make sure that you also have the time to go through the buying guide, which is detailed and a bit long, to choose the right laptop for your machine and deep learning needs.

Laptops for Machine and Deep Learning – Price (Top Picks)

Comparing and Exploring Machine and Deep Learning Benefits

Machine learning is a process where computers are used to gather different data and cluster them.

It is also useful for making predictions based on the data available. Since everything is done mechanically, there is no need to tell how exactly to do it.

With the large volume of data and information the businesses receive today, the popularity of machine learning has grown manifolds, but the algorithms have actually been around for decades.

The different benefits and uses of machine learning include and is not limited to the assistance provided in classifying emails as spam or not, detecting specific objects or a person in an image, predicting prices of houses based on the prices of other houses in a particular area, and more.

Deep learning, on the other hand, is in fact a subset of machine learning. It deals with a specific set of algorithms.

These algorithms are actually loosely based ‘neural networks’ and involve the ways in which a human brain functions.

Typically, the deep learning algorithms perform much better in comparison to the machine learning algorithms.

It provides more accurate results even from a large amount of data, where the machine learning algorithms fail notably.

However, the deep learning algorithms are computationally more expensive and will need to use a powerful GPU to perform as it is desired.

Among several uses and benefits of deep learning algorithms the most significant ones include pattern recognition and computer vision. This helps in translation, voice search, and even controlling the self-driving cars!

However, for better deep learning it is important to know other machine learning algorithms as well. This will be beneficial in many different ways because there is a lot of mathematics involved in it.

The possibilities seem to be endless in machine learning and deep learning.

With the eye on the future, it is expected that there will be a significant increase in the use of robots not only in the manufacturing sector but also in different other ways to improve the daily lives of people, both in a major and minor way.

It will also be used in the healthcare industry because deep learning will help the doctors to do things that were not easy or possible before, such as predicting or detecting cancer earlier. It will save a lot of lives.

In the financial sector, machine learning and deep learning will help the companies as well as the individuals to save money, allocate resources with more efficiency and enjoy higher returns on their investments by making it more wisely.

There are lots of other sectors that will be benefitted by machine learning and deep learning.

Therefore, to learn about it well, you will need a laptop that will specifically help you in this field. You may choose one from the recommendations below and rest assured to get your analytical results right.

Minimum & Recommended System Requirements for Machine and Deep Learning

For basic machine and deep learning needs, a laptop should have at least an Intel Core i5 processor with at least four distinct cores as well as the latest generations of NVIDIA dedicated graphics card belonging to the GTX series.

You will also need a minimum of 8 GB RAM and 128 GB of SSD as well as a 13 to 14 inches screen. This will enable you to deal with the most popular and basic datasets of machine and deep learning.

On the other hand, if you want to pursue more complex datasets then you will need a much more powerful laptop for that matter. In that case, choosing a laptop with the recommended system requirements specified below will be worthier an investment.

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This will ensure that both you and your laptop are ready to handle the ever-changing scenario of machine and deep learning.

Minimum system requirements: 4th generation Intel Core i7 or higher processor| 8 GB of RAM | 256 GB SSD | Dedicated Nvidia GeForce GTX 860M     or AMD Radeon equivalent graphics card | 15 inches screen | 1920 x 1080 pixels screen resolution

Recommended system requirements: 8th generation Intel Core i7 or better processor| 16 GB of RAM or higher | 512 GB SSD or larger | Dedicated Nvidia GeForce GTX 1070 Max Q or higher RTX graphics card | 15.6 inches screen or bigger | 1920 x 1080 pixels or higher screen resolution

5 Best Laptops for Machine and Deep Learning:

1. Lambda Tensorbook – Best Overall

Lambda Tensorbook

Bottom Line: It is the specs alone that makes this system the best overall laptop in this list for machine and deep learning. The notably large amount of RAM and SSD storage, the 10th generation Intel Core i7 CPU with eight powerful cores and a much better Nvidia RTX graphics card uplifts its performance.

Key Features 

  • Screen: 15.6 inches
  • Storage: 1 TB M.2 PCIe NVMe SSD
  • RAM: 64 GB DDR4 SDRAM
  • Processor: 10th generation Intel Octa Core i7 10875H
  • OS: Linux
  • GPU: Nvidia RTX 2080 Super Max Q

Pros 

  • The memory and internal storage of the system is huge and pretty fast.
  • The ultra-thin bezel provides a larger viewing area.
  • The latest processor with 8 cores makes this system perform very fast.

Cons 

This 2020 model is considered to be the best laptop overall for machine learning and deep learning, as well as other complex studies like data science.

However, this does not mean it will not support other general computing tasks and gaming.

The processor of this system is of the latest 10th generation. This Intel Core i7 processor guarantees a much faster processing of complex data with its 8 cores that can touch an operating frequency as high as 5.1 GHz on the Turbo clock.

Add to that, the powerful Nvidia RTX 2080 Super graphics card comes with Max Q technology that enhances its capability manifolds.

The VRAM feature of this 8 GB graphics card makes deep learning and machine learning much easier using this laptop.

The system also comes with specific software programs pre-installed in it such as TensorFlow, PyTorch, Keras, and Nvidia CUDA drivers, all of which helps in machine and deep learning to a significant extent.

No matter how big a file is, the system will provide you with a huge space for storing a large number of such files.

The M.2 PCIe NVMe SSD is pretty fast and will allow you to access these files most easily and quickly.

The memory of the laptop is also massive, so much so that, you may tend to think it to be an overkill.

This DDR4 64 GB SDRAM of the system will provide the right kind of support required by it to perform at a high level, consistently.

The number of ports and its variety may seem to have been compromised but the fact that the laptop provides Thunderbolt 3 support makes up much of the deficit.

There are lots of vents and outlets on all sides of the strong chassis of this machine that ensures a better and proper regulation of the airflow in and out of the system keeping the temperature of the innards much below the high-risk level.

2. MSI GS65 Stealth – Runner Up

MSI GS65 Stealth
 

Bottom Line: In spite of the 8th generation Intel Core i7 processor, which is good enough, this laptop is considered to be the runner up of this list of laptops for machine and deep learning due to the better quality RTX graphics card. The new ray tracing technology enhances the graphics performance notably.

Key Features 

  • Screen: 15.6 inches
  • Storage: 256 GB NVMe SSD
  • RAM: 16 GB DDR4
  • Processor: 8th generation Intel Core i7 8750H
  • OS: Windows 10 Pro
  • GPU: Nvidia GeForce RTX 2060

Pros 

  • The screen of the system has a razor thin bezel making it look larger.
  • The cooling system of this laptop is very good.
  • The multi-color per key RGB makes the keyboard look awesome.

Cons 

  • There is no separate numeric keypad in the system.
  • There is no SD card reader slot in the system.
  • The battery life of the laptop can be a bit of concern.

This is one of the best rated laptops for machine learning and deep learning, and of course, for gaming.

One of the most unique aspects about this laptop is its 15.6-inch display that looks larger due to the 4.9 mm thin bezel on all four sides.

It also comes with a higher 144 Hz refresh rate and 7ms overdrive response time.

Add to that, the full HD resolution ensures better and clearer images on this anti-glare, wide view angle, and 72% NTSC display.

You will get to see sharper images produced by the 6 GB GDDR6 Nvidia GeForce RTX 2060 graphics card and the new ray tracing technology.

The performance of this graphics card is supported well by the Intel Core i7 processor that can perform at a base clock frequency of 2.2 GHz which can be Turbo boosted up to 4.1 GHz.

You will get a system memory of 16 GB and this DDR4 RAM comes with a bandwidth of 2666 MHz, but there are two sockets which will allow you to max the memory up to 32 GB.

However, you will ideally not need such an upgrade due to the NVMe SSD storage which is pretty fast in operation itself.

The cooling system of this system is also worth noting. There are three fans, each with 47 blades, 6 copper heat pipes and 4 exhaust that ensures optimal thermal management.

The CPU and GPU of the laptop has dedicated heat pipes for more effective cooling.

As for the special features of the system, there is a silky glass touch pad with 10+ gestures which is 35% larger and more responsive to clicks, scrolls, and other multi-touch gestures.

The Steelseries per key RGB keyboard is another unique feature that will allow you to customize each key according to your choice.

You can get in-game status in real time with its lighting and even make it dance in three different modes namely, wave, disco, and warp drive.

The DynAudio speaker system comes with 10dBA+ and 50%+ boost amplitude features to produce high quality and clear sound that will fill the room without needing additional speakers and wires.

3. Apple MacBook Pro – Value for Money

Apple MacBook Pro
 

Bottom Line: The users will get a high value in return for their money when they use this laptop for machine and deep learning. The 9th generation Intel i7 processor with six cores handles all non-graphics performance most efficiently and the GPU, SSD, Thunderbolt ports, and Touch Bar also adds to its value.

Key Features 

  • Screen: 15 inches
  • Storage: 256 GB
  • RAM: 16 GB
  • Processor: 9th generation Intel Six Core i7
  • OS: Mac OS
  • GPU: Radeon Pro 555x
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Pros 

  • The SSD storage of the system is pretty fast.
  • There are four Thunderbolt 3 ports in the device providing more connectivity options.
  • The laptop comes with a responsive touch bar and touch ID.

Cons 

  • The keyboard does not have a numeric keypad.
  • The system may overheat under heavy use.
  • The battery life seems to drain out pretty fast.

This laptop will provide you with more power to perform due to the high quality of its build, components, and features.

The system comes with a brilliant Retina Display which showcases images with more clarity using the True Tone technology.

The 4 GB video memory of the graphics card produces images pretty fast and the RAM and ultrafast SSD keeps up its performance all the time.

The system design also allows you to switch the GPU to Intel UHD Graphics 630.

The Touch Bar and Touch ID is quite responsive and the butterfly mechanism of the keyboard makes it easy and comfortable to type on it.

The key stability is four times better than the traditional keyboards that come with a scissor mechanism.

The T2 security chip installed in the system makes it more secure to use for machine and deep learning.

You can even unlock the system with just a touch of your finger. Check out Apple Macbook Pro Review.

4. HP Omen – Useful Customizable Features

HP Omen
 

Bottom Line: The specs of this laptop may seem to be low for machine and deep learning but the useful and customizable features of this device such as the fairly large touchscreen, the wider and responsive trackpad, durability, fast boot up, audio system, battery optimization technology, will prove you wrong.

Key Features 

  • Screen: 15.6 inches
  • Storage: 256 GB SSD
  • RAM: 8 GB DDR3L SDRAM
  • Processor: 4th generation Intel Core i7 4710HQ
  • OS: Windows 8.1
  • GPU: Nvidia GeForce GTX 860M

Pros 

  • The trackpad is extra wide and quite responsive.
  • The keyboard is backlit and is very easy to type on.
  • The screen is of good quality.

Cons

  • There is no optical drive in the system.
  • There is no dedicated numeric keypad in the keyboard design.
  • The battery life is pretty low.

The Intel Core i7 processor which operates at 2.5 GHz base clock frequency, the DDR3L SDRAM, the SSD storage, the Nvidia GeForce GTX graphics card, the full HD Infinity IPS touchscreen LED-backlit display, the Windows 8.1 operating system, all make this system one of the most suitable device for machine and deep learning.

The specs and hardware components of this laptop produce stunning graphics and guarantee faster processing. The system boots up very quickly in about 4 to 6 seconds after switching it on.

The customizable features make it easy to use and the compact design makes it a portable unit.

The audio system is pretty good and produces an immersive listening experience.

The laptop is extremely durable and can withstand the rigors of daily use due to the sturdy build of it with CNC aluminum metal without increasing the weight of the device beyond 4.68 pounds.

There are lots of ports in the system including four USB 3.0 ports. All the ports are at the backside of the chassis which makes them very handy.

Moreover, by using the HP USB Ethernet adapter included in the system will allow you to connect it easily with any Ethernet network.

As for the connectivity, the laptop also supports the latest wireless communication standard of 802.11ac.

You need not worry about the low life of the lithium ion battery because the unique battery optimization technology of the system will ensure low consumption of power during operation.

In addition to all these, the touch pad is quite large and works quite well and it is very responsive with its control features.

The touchscreen is also very responsive and accurate. Check out OMEN by HP Laptop Review.

5. Razer Blade ‎RZ09 – Good Screen and Better Thermal Management

Razer Blade ‎RZ09
 

Bottom Line: Besides the fairly good performance, this laptop promises a better viewing pleasure with its good quality screen with a higher refresh rate and body to screen ratio. The thermal management of this laptop is also quite good with the innovative vapor chamber allowing working on it for a long time.  

Key Features 

  • Screen: 15.6 inches
  • Storage: 512 GB SSD
  • RAM: 16 GB
  • Processor: 8th generation Intel Six Core i7 8750H
  • OS: Windows 10 Home
  • GPU: Nvidia GeForce GTX 1070 Max-Q

Pros 

  • The thin bezel around the screen provides greater screen to body ratio.
  • The multi-color backlit keyboard looks pretty and facilitates typing in the dark.
  • The innovative cooling system of the laptop ensures better thermal management.

Cons 

  • There is no separate numeric keypad in the system.
  • The SSD speed could have been better.
  • The battery life is only 6 hours per charge.

This laptop comes with all the features that will help you significantly in machine and deep learning.

The large enough full HD screen comes with 144 Hz refresh rate and the 4.9 mm bezel ensures an edge to edge viewing with greater body to screen ratio.

The screen is also perfectly color calibrated to provide clearer, sharper, bolder, and more vivid images.

The thin and compact design of the laptop makes it easy to carry and very portable, weighing just a little over 4 pounds. The CNC aluminum body makes it a durable piece as well.

The latest 8th generation Intel Core i7 processor comes with six cores for faster processing and it provides appropriate support to the Nvidia GeForce GTX graphics card, which, by itself, is powerful enough with its Max Q design.

This VR ready graphics card comes with 7.1 codec support, via HDMI, for a better, faster, and higher performance.

You do not have to worry about the system getting hot due to prolonged use because it comes with an innovative vapor chamber cooling system.

This system assures the best possible thermal management even during gaming due to the gaming mode power boost feature.

You will be able to connect a lot of different types of external devices using the large number and variety of slots that include one Thunderbolt 3 port, three USB 3.1 ports, one HDMI 2.0 port, and one mini DisplayPort 1.4, apart from one microphone and headphone combo port.

There is also a Kensington lock on the right side of the chassis.

The laptop also comes with an advanced control system that will allow you to customize the lighting and improve the performance of the keyboard.

The large precision glass touchpad will also help in system and operation control with its high responsiveness. Check out Razer Blade RZ09 Laptop Review.

How to Choose Best Laptops for Machine and Deep Learning?

When you buy a laptop for machine and deep learning you should not buy one just for the sake of it.

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At the end of the day, all you want is a high level of performance and results in quick time. You will need to consider several other factors beyond appearance and elegance.

Here is the list of the vital features that you should look for in a laptop for machine and deep learning. This will help you to make a well-informed decision and the right choice.

Processing power and portability

Processing power of the laptop is the most significant thing to consider while shopping.

Therefore, you will need a strong and powerful processor in your laptop for machine and deep learning.

However, a strong and powerful processor will be heavy and add to the weight of the laptop. This means, it will in turn reduce the portability of the laptop.

If you want to buy a laptop that is light in weight and portable then you will have to compromise with the power of the processor, and vice versa.

However, if the power of the processor is low then it will simply not be able to support all your needs for machine and deep learning or perform the required technical activities.

All this sum up to one particular point which is a laptop for machine and deep learning needs to be heavily built and the processor should be preferably Intel Core i7 of 7th generation.

Yes, it will be expensive but will be good and capable enough to meet all your needs.

RAM

Once you have decided about the processor of your laptop, the next important thing to consider is the RAM.

Ideally, it should be a minimum of 16 GB which will allow you to multitask.

If the amount of RAM is less than that, you will not be able to use the laptop for other additional advanced mechanisms of machine and deep learning.

On the other hand, if you choose a laptop that has 32 GB or 64 GB of RAM, if you can afford the heavy price tag, there is no harm, but 16 GB will be adequate enough and good to work with.

Graphic Processing Unit

The GPU or Graphics Processing Unit is another important necessity in the laptop for machine learning and deep learning.

If you choose a laptop with a core processor belonging to the newer generation, there is every chance that it will also have a powerful GPU. This will make it a better laptop for machine and deep learning.

The Nvidia GeForce 10 series are good enough to perform complex computations on your laptop.

The primary reason that you will need a powerful graphics card in your laptop for machine and deep learning is that it involves a lot of complex calculations and matrices.

You will need it to check all the installed data to find the parallel numbers.

The truth is that, if your laptop has a powerful processor and a good amount of RAM but a graphics card of low quality, such jobs will take months to complete, depending on the size of the data.

Storage

To start with, the minimum amount of storage in a laptop for machine and deep learning is 256 GB.

However, over time the number of data sets as well as your computation will increase and then you will need a lot more space for storage, preferably a terabyte of it.

Even better, if you have a laptop that will allow easy access to a cloud system you will have a lot more storage space to save an unlimited number of files and data.

When it comes to storage space there are two types of storage that are used namely, HDDs and SSDs. Hard drives are meant to be the largest storage unit and are cheaper than the SSDs.

Solid-State Drives, on the other hand, are quicker as compared to the traditional HDDs. The programs boot up quickly and files can be accessed and transferred faster.

Operating system

Typically, all laptops for machine and deep learning need the latest version of Linux operating system.

However, this does not mean you cannot choose a laptop that runs on Windows and Mac OS because these run with Linux, virtually.

No matter whichever operating system you choose, make sure that it allows using all the necessary software for machine learning and deep learning and you are comfortable in using it as well.

Battery Life

All laptops for machine and deep learning are power hungry and therefore need a long battery life. However, much will depend on your individual requirements.

If you work too much on the go then you will need a powerful battery so that you do not need to worry about charging the battery even if you work for long periods.

Anything between 8 to 10 hours is good enough battery life which will allow you to do your full day’s work on your laptop without requiring it to be plugged in.

Additional features

More often than not, the additional features apart from the basics will influence your choice.

It is true that these extra features help in distinguishing and deciding between two laptops that come with almost the same specs, but, most importantly, with the same price tags.

These additional features are therefore very important and certainly not to be overlooked. It will add to the performance level and functionality of the laptop for machine and deep learning.

You will have these extra features in a wide range of forms and shapes but the ones to focus on will depend on your specific needs.

If you want to own a high-performing laptop and need to run it for long periods of time every day and that too on full load, it is important that you choose a device that comes with a stronger and more efficient cooling system.

This will ensure the longevity of your laptop as well and not crash or shut down often.

Another important additional feature to focus on is the ports of the laptop, both in its number and variety.

If you have specific peripheral needs, it is elementary that you make sure that it has the right type of ports that will allow connecting them to it.

The keyboard is another aspect to keep in mind while shopping for your deep learning laptop.

It should be good, preferably full size, with a good key travel and tactile feedback. A backlit keyboard is also preferred if you have to type on it for long hours at night.

Also, do not overlook the display size and resolution. Anything larger than 15 inches will add on to the weight and reduce portability and a display less than full HD and below average brightness will cause harm to your eyes.

FAQs:

How much RAM is needed in a laptop for machine and deep learning?

When it comes to the amount of RAM in a laptop for machine and deep learning, the more, the better. This is because in machine learning especially, a large amount of data is involved and this needs a lot of RAM to have rapid access and faster operation. While 16 GB of RAM in a laptop for machine learning is the absolute minimum, you will be better off if you have double than the minimum.

Are gaming laptops good for machine and deep learning?

Typically, all gaming laptops are usually good for all types of professional tasks. This is because these laptops support playing all those Triple AAA+ game and therefore come with some of the highest specs that helps in all types of computing activity, including machine and deep learning. However, whether you should buy one for you will entirely depend on your individual needs and budget, or else, it will be an overkill.

Is an external GPU dock necessary for a laptop for machine and deep learning?

Though it is not absolutely necessary to buy an external GPU dock for a laptop for machine and deep learning, it is better to make such an additional investment. When you add this external GPU dock to your lap the most significant benefit that you gain is that it will allow you to customize it depending on your specifications and requirements.

About Dominic Cooper

Dominic CooperDominic Cooper, a TTU graduate is a computer hardware expert. His only passion is to find out the nitty gritty of all computers. He loves to cook when he is not busy with writing, computer testing and research. He is not very fond of social media. Follow Him at Linkedin