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If you’re looking for the best laptop for machine learning or deep learning, then you’ve reached the right place.
Though machine learning and deep learning are different in what they do, the hardware you need to get them done is very similar. That’s why we’ve included the best laptops for both of them in the same post rather than writing one for each.
In a hurry?
Here’s our Editor’s choice:
Both machine learning and deep learning are resource-intensive and you will need a powerful laptop to get the best out of them. Working with a mediocre device can lead to a frustrating experience as it can take twice or even thrice the time to finish working on a dataset.
Also, finding the right laptop that matches your needs and style can be a daunting task. That’s why we’ve done the difficult part and have come up with handpicked laptops that are great for both machine learning and deep learning.
Let’s dive in.
Best Laptop For Machine Learning/Deep Learning (Editor’s Choice) – MSI GF 65
Our Editor’s Choice for the best laptop for machine learning and deep learning is the MSI GF 65 laptop.
MSI GF is a gaming laptop that comes with a thin profile and gives a solid performance. This laptop has what it takes to handle machine learning and deep learning without any performance quirks.
Let’s talk about the design of the laptop. From the first look, you can say that this is a gaming laptop. It comes with a classic black and red gaming laptop design which is something we’ve seen over the last seven odd years.
The laptop comes with a premium build and a nice finish that makes us go out. Once you open the laptop, you are introduced to a gunmetal finish palm rest and a sleek display. Even though this is a gaming laptop, it does not weigh that much. At 4.1lbs, this is one of the lightest giving laptops you will get in this size category.
Being a gaming laptop, you would expect a good cooling system in this machine. As expected, it comes with an excellent cooling system with vents all over the body. Some of the noticeable vents are behind the body below the screen.
Let’s talk about the display of the MSI GF 65. We have a 15.6-inch display that has a resolution of 1920 x 1080 pixels. This resolution gives us crystal clear images and texts that a sharp as one would expect. The IPS panel underneath gives excellent colors and a brilliant contrast ratio.
The bezels surrounding the display are also greatly reduced on the sides, giving us a more streamlined viewing experience. Being a gaming laptop, this one comes with a refresh rate of 120Hz that gives us a smooth movement and a fluid user experience.
This display is a widescreen one, and you will absolutely love it when it comes to machine learning. You can also use this display for media consumption and other everyday uses, apart from gaming. The IPS panel also gives us excellent viewing angles which are always a good addition.
The keyboard on the MSI GF 65 is a pretty good one. It comes with red backlighting and has a pretty good layout that is perfect for gaming. The key travel is decent for a laptop, and you will enjoy typing on this laptop. The trackpad is a pretty standard one and does a decent job.
One of the most important things for having the best machine learning and deep learning experience is the processor. The MSI GF 65 comes with an Intel Core i7 9750H processor. This is a hexa core processor that has a minimum base speed of 2.6 GHz and a maximum speed of 4.5 GHz.
In terms of performance, this processor is an absolute beast. It also comes with an Intel smart cache memory of 12 MB which will definitely come in handy when you’re dealing with simpler applications. This processor handles both machine learning and deep learning well. You can run your deep learning algorithms with ease, and this CPU will take care of it without breaking a sweat.
With 16GB of RAM, the processor does well when it comes to running several applications at the same time. It also helps in improving the overall performance during machine learning. Having a good memory is crucial for deep learning, and the 16G we find here proves to be resourceful when it comes to the job.
The storage on this device is in the form of an SSD with a capacity of 512 GB. This is one of the fastest solid-state drives you will find an upper mid-range laptop like this one. You can excellent reading and writing speeds because of which this SSD can even open larger files without wasting much time.
The graphics card on the MSI GF 65 is an Nvidia GeForce RTX 2060. This is a high-end graphics card from Nvidia, and it comes with a dedicated video memory of 6GB of GDDR6 RAM. This is one of the most powerful GPUs is out there, and it compares with the GTX 1060 in terms of performance.
Graphics card does a pretty good memory comes to handling games. You will be able to play pretty much any game you want on this laptop without even having to meddle with the settings. When it comes to deep learning, this GPU does give a helping hand for better performance.
The laptop does well when it comes to connectivity. We have 2 USB 3.2 gen one Type-C port, 2 USB 3.2 Type-A ports, an HDMI port, an ethernet port, and also an audio jack. The laptop also comes with 802.11ac Wi-Fi and Bluetooth Wi-Fi and a built-in Which is pretty cool in terms of wireless connectivity.
Overall, the MSI GF 65 is an excellent gaming laptop that is also a perfect solution for machine learning and deep learning. The good news is that this laptop does not come with a super expensive price tag. The fact that you can do some serious work on this laptop without having to pay a premium makes this the best laptop for machine learning and deep learning.
Our Runner Up Laptop For Machine Learning/Deep Learning – Acer Predator Helios 300
The Acer Predator Helios 300 is our runner of choice when it comes to machine learning and deep learning.
This is also a gaming laptop and comes pretty close to MSI GF 65 in terms of performance and hardware. The only reason we placed this second is that MSI GF 65 is a bit less expensive than this one. The MSI laptop is also a lot sleeker and lighter than this one.
Let’s talk about the design of this Acer laptop. This is a gaming laptop, and it looks like one. It has a bulky look and a finish that is very specific to gaming laptops. At 5.29lbs, this is not that heavy for a gaming laptop but still is heavier than our editor’s choice. Both the design as well as the choice of materials make this laptop a premium gaming laptop.
The keyboard on this laptop deserves a special mention. This chiclet keyboard comes with an excellent layout, and also has very good key travel. You will absolutely enjoy playing games on this laptop with this keyboard in place. You also get a dedicated number pad which could come in handy for a lot of people.
The keyboard comes with four RGB backlighting zones. You can customize this to suit your style, and give your laptop a completely unique look and feel. The trackpad on this laptop is a pretty standard offering and does a pretty standard job as well.
We have a 15.6-inch Widescreen IPS LED-backlit display with a resolution of 1920 x 1080 pixels. this is one of the best 1080p displays you will find on a gaming laptop, period. The display comes with vibrant colors and an excellent contrast ratio that gives you quality images perfect for gaming.
You also get gamer-centric features like a refresh rate of 144 Hz and an overdrive response time of 3 ms. These features are great not only for gaming but also when you use your laptop for everyday tasks. You get a much more fluid experience even one interacting with the elements of the operating system.
The display is perfect for gaming, no doubt. In addition to gaming, you will also find the display pretty useful for stuff like media consumption, browsing, and much more. When it comes to multimedia experience, this display gives you an excellent experience and there is absolutely nothing to complain about.
The processor that runs the Acer predator Helios 300 is an Intel Core i7 9750H processor. This processor has six physical cores and 12 threads with a base clocking frequency of 2.60GHz and a maximum clocking frequency of 4.50GHz. It also has a smart cache memory of 12 MB that should come in handy in your everyday workflow.
The processor provides you with all the cores you would want for a smooth machine learning experience. You can have the most complex deep learning projects in your hand, and this processor will manage it without any issues. You can even run some heavy machine/deep learning projects without any problem as this processor can handle it.
The memory department and the Acer predator Helios 300 is loaded with 16 GB of DDR4 RAM. This RAM is very fast when it comes to its clock speed, and does a pretty good job in handling complex applications. It is quite fast and the remaining information that the processor has written and presents to you without wasting even a second.
This memory is also pretty good for multitasking. You can run several applications simultaneously, and you won’t even know that all these applications are running without being frozen in the background. this memory is so good that you can run tens of browser tabs on your favorite browser without feeling any lag.
The storage on the Acer predator Helios 300 is a 512 GB solid-state drive. This solid-state drive is one of the fastest out there and is at least 15 times faster than your traditional mechanical hard drive. If you are coming from a hard drive, the speed that this SSD gives will absolutely blow you out of your mind.
Let’s take a look at the graphics card we get in the Acer predator Helios 300. We have an Nvidia GeForce GTX 1660 TI that comes with a dedicated video memory of 6GB. This is one of the most powerful GPU you can get your hands on, on any mobile device.
This GPU allows you to play pretty much any game on your laptop without any issues whatsoever. You can even play with the ultra settings on which is not something you can say for most gaming laptops.
The GPU does well when it comes to taking care of machine learning and deep learning. It takes out a bit of stress away from the CPU and improves your overall experience. The GPU also significantly reduces the time for tasks to complete which is always welcome.
The laptop comes with a horde of connectivity options. You get a USB Type-C port, 3 USB 3.1 Type-A ports, an HDMI port, an ethernet port, an SD card slot, and an audio jack. You also get excellent wireless connectivity standards built-in which should help you reduce the clutter on your desk.
The laptop also does a pretty good job and it comes to battery life. Being a gaming laptop, we do not expect anything when it comes to battery life, but the Acer Helios 300 does an excellent job and can last for at least five hours even when you have some complex stuff to do other than gaming. If you’re going to have an intense gaming session, then the laptop may last about 2 to 3 hours after which you should plug your laptop in.
Overall, the Acer predator Helios 300 is a solid gaming laptop that comes at a very affordable price. Honestly, there is nothing to separate this model and our editor’s choice so we will leave you to be the final judge. Get this laptop if you want a stress-free machine learning and deep learning experience.
Best Convertible Laptop For Machine Learning and Deep Learning – Surface Book 2
If you are looking for a convertible laptop for your machine learning and deep learning needs, then look no further than the Surface Book 2.
There are different kinds of convertible laptops. There are laptops where you can fold the laptop into two and convert it into a tablet. This type of a convertible laptop is okay as it allows you to access a tablet mode, but it still transpires quite heavy to deal with.
The other kind of convertible laptops or those that I love you to detach the keyboard completely so that you are left with a tablet in your hands. The Microsoft Surface Book 2 is one such convertible laptop that gives you the complete freedom of having a tablet in your hands.
When it comes to design, the Surface Book 2 beats pretty much every other convertible laptop on the market. It comes with a nice industrial design that screams premium. The laptop has a nice weight to it which also gives you a nice feel when using it.
The device weighs around 4.2lbs which is actually not that bad for a 15-inch laptop. Once you detach the keyboard from the laptop, the tablet alone weighs just around 2lbs which is excellent if you’re looking for portability. You can just touch the keyboard and throw it inside your backpack while you use the tablet when you’re traveling.
The display is one of the best features of the Surface Book 2. We have a 15-inch display that comes with a resolution that Microsoft calls pixel sense resolution. This resolution is much better than the QHD resolution we see in other laptops. It gives millions of pixels, and it is super hard to find individual pixels on the screen even when you are looking from a close distance.
In terms of picture quality, this display does a fantastic job. The colors are vibrant and are very much real lifelike, thanks to the IPS panel beneath the display. This IPS panel is responsible for the excellent contrast ratio that gives as bright whites and blacks. You also get excellent greyscale performance from this display which is cool.
The processor we have here is an Intel core i7 processor. This is a quad-core processor that comes with excellent specs and delivers every single time. The processor also has 8MB of smart cache memory that allows you to have a smooth user experience when dealing with daily applications like Web browsers and office applications.
When it comes to machine learning, this processor does a fabulous job. It runs all your tasks smoothly, and gives you the perfect solution when it comes to machine learning and deep learning. Deep learning can get a bit more resource-hungry due to the nature of it, but this processor handles it like a boss.
The memory department in the Surface Book 2 compliments the processor in the nicest way possible. It allows you to run your deep learning algorithms without bringing the system down even if the project is quite complex. The memory also does a fantastic job when it comes to multitasking. You can run multiple applications together without affecting the overall efficiency of the laptop.
The graphics card we have here in the Surface Book 2 is an Nvidia GeForce GTX 1050 graphics card. This GPU comes with a dedicated video memory of 4GB that allows you to play pretty much any mid-range and upper mid-range games without any issues. If you want to play the latest and the greatest games, then you have to reduce the settings a bit.
The graphics card also helps in deep learning by reducing the strain on the CPU and making the whole process more efficient. Though most users will be fine with an integrated graphics card if they are working with a simple deep learning project, having a dedicated graphics card does make a world of difference.
The keyboard on the Surface Book 2 is a good one. Another convertible than Microsoft offers is the surface pro series. The keyboard on that series is quite a busy mall when you compare it with the keyboard here. We have a solid keyboard here that comes with an excellent layout and good key travel. The typing experience is pleasant, and you should be able to keep up your speed and accuracy with this keyboard.
Another good thing about the keyboard is that it does not get loud. Even when you are typing furiously, this keyboard does not make a ton of noise. This allows you to take this laptop and go work in a public place like a library or a cafe. You also get backlighting with the keyboard which is handy when you need to work in a room with very little or no light.
The trackpad we have here is an absolute gem. It comes with a smooth surface and allows friction-free gliding of your fingers to get the best trackpad experience on a Windows machine. Straight from the house of Microsoft, this trackpad supports all Windows gestures and gives you a fine experience.
Battery life is another area where this Microsoft Surface Book 2 excels. With light use, this laptop can last for about 15 hours which is just mind-blowing. You can get this battery life with simple tasks like web browsing, video streaming, and other everyday activities.
However, with heavy machine learning or deep learning, this number might come down significantly. Complex activities might end up giving you 6 to 7 hours of battery life instead of the above mentioned time.
Overall, the Surface Book 2 is a stunning convertible laptop that brings you the best hybrid experience for both machine learning and deep learning. It has a beautiful screen and provides you with superb performance making it easier to choose this one over any other convertible laptop out there.
Best Value For Money High-Performance Laptop For Machine Learning and Deep Learning – Gigabyte Aero 15
The Gigabyte Aero 15 is a powerful laptop that comes with excellent specs and allows you to have a stunning experience when it comes to machine learning and deep learning.
Designwise, the Gigabyte Aero 15 is one of the sleekest laptops you will find on the market. It comes with a weight of just 5lbs, and in its size category, it is probably one of the lightest laptops out there as well. The laptop comes with a nice black finish that screams premium and has huge fans at the bank and also at the sides.
Being a gaming laptop, you can be assured that this gaming laptop comes with an excellent cooling system in place. When dealing with machine learning and deep learning, the processor will do a lot of work which will increase the optimum temperature of the laptop.
Having a good cooling system in place will definitely improve the overall performance of the laptop in a good way. This Gigabyte Aero 15 model comes with an excellent cooling system that allows the processor to maintain a higher sustained power over a longer period of time.
The display on this laptop is probably one of its best features. We have a screen from Samsung and it is an AMOLED panel with a resolution of 3840 x 2160 pixels. This is one of the best 4K displays we have ever seen on a laptop. The panel gives amazing colors and the fact that it is from Samsung only makes the experience much better.
This display is perfect for watching your favorite TV shows and movies on your favorite platforms. The colors on the display are so accurate and you will enjoy bright whites and the blacks, thanks to the excellent contrast ratio.
The keyboard on this laptop is a pretty good one. The good thing here is that you also get a dedicated number pad which usually doesn’t find in high-end gaming machines like this one. The trackpad is a standard offering and does a pretty good job. On the top left corner of the trackpad, you find a fingerprint reader that utilizes Windows hello for authentication purposes.
The processor that handles all of this is an Intel Core i7 9750H processor. This is one of the top processors from Intel from its ninth generation of chips. In terms of performance, this processor is a beast and you can rely on it for even the most complex machine learning and deep learning projects.
The 16GB of RAM in the memory department comes in handy when it comes to machine learning. You will be able to run several applications side-by-side without impacting the overall performance of the laptop. This memory is also quite useful in deep learning so that you can complete tasks faster without wasting much time.
The arrow 15 comes with a dedicated graphics card in the form of an Nvidia GeForce GTX 1660 TI. This is a high-end graphics card that comes with a dedicated memory of 6GB of GDDR6 RAM. Being one of the most powerful GPUs is, this one can handle pretty much any game without any issues. When it comes to machine learning and deep learning, this GPU does a pretty fantastic job.
The storage on this laptop is a 512 GB solid-state drive. Having a solid-state drive on your laptop completely changes the way you work. With a fast solid-state drive like this one, working on complex projects like machine learning and deep learning ones can be much faster.
A fast solid-state drive can open even huge files within seconds which is simply not possible on a laptop with an old-fashioned mechanical hard drive. If you are coming from a hard drive, then this will be an absolute killer performance. And, it will be very hard to go back to those shitty mechanical hard drives.
The Gigabyte Aero 15 comes with all the essential ports you would need on a daily basis. We have 3USB 3.1 gen one port, one USB 3.1 type C port, One HDMI 2.0 port, one Thunderbolt 3 port, one ethernet port, one SD card reader, and an audio jack. This is a wide selection of ports, and as a user, we appreciate giving us all the options we would need without forcing just one type of port on us.
Gigabyte has introduced Wi-Fi 6 on this laptop with the help of a Killer Wi-Fi 6 AX1650 adapter that is powered by Intel. Wi-Fi 6 is a game-changer when it comes to gaming. brings much higher speeds of the internet, and also reduces latency to a point it doesn’t even exist. Laptop also comes with Bluetooth 5.2 which gives you an excellent range and better external connectivity.
Overall, the Gigabyte Aero 15 brings you the best hardware and matches it with superior performance. If you’re looking for the best laptop for machine learning and deep learning, then this Gigabyte Aero 15 is a high-performance laptop that fits the bill.
What To Look For In The Best Laptop For Machine Learning/Deep Learning?
If you think choosing a regular laptop is a challenging task, try choosing the best laptop for machine learning or deep learning.
There are a number of factors that will affect your decision, and more times than not, you will be stuck in the analysis paralysis phase. We had a friend who couldn’t figure out the best laptop for them for months.
If you are not happy with any of the above-mentioned models, then feel free to search and find the right laptop for your machine learning or deep learning needs.
Before you go, here are some things you need to know before you make a decision on your best laptop for deep learning or machine learning.
Difference between machine learning and deep learning
The main difference between the two is how data is organized and delivered.
Machine learning is nothing but a set of algorithms that handle data whereas deep learning relies on artificial neural networks.
Machine learning is mostly used for understanding data with the help of a human teaching element.
Deep learning does not require any human input and can use artificial neural networks to understand data, sort them, and learn from their own mistakes.
Do I need a high-end laptop?
The simple answer to this question is yes.
Machine learning and deep learning are complex fields where you need the best devices on board to get the best results.
Both involve a lot of data and require enormous amounts of computing power to arrive at results that will change the way the world works.
Whether it is machine learning or deep learning, with a sophisticated laptop, you will be able to work without any doubts, and can get excellent results without wasting a lot of time.
If you are working with an entry-level system or a mid-range laptop, it can take at least three times more time for you to arrive at a result. Even worse, you might get around as results which will spoil all your work till that point.
So it is paramount that you get a laptop with high-end specs so that you can do a lot more with machine learning and deep learning.
The processor is the single most important part of a laptop for machine learning and deep learning.
If there is one aspect of your laptop that you shouldn’t compromise on, it is the processor. We recommend going with a quad-core processor as a minimum, as it can give you good performance all round.
In terms of models, you can go with an Intel Core i7 or i9 processor. These are high-end CPUs and are very good when it comes to performance. Make sure that you get a laptop with at least four physical cores.
You will have an advantage if you can get a processor with six cores or eight cores. Having more cores will give you more power and you can get more work done in a shorter time frame.
We do not recommend going with an Intel Core i3 or an i5 processor. The i3 chip is the entry-level chip you can get, and it does not fit well when it comes to machine learning or deep learning. The i5 processor is a decent one, and you should only look at one when you are working with a really small budget.
Let’s talk about clock speed. It is important to have a decent base clock speed as the laptop will be able to do more without the help of a turbo boost which can reduce your battery life and can make your laptop noisier by turning on the fans.
Any quad-core or hexa-core processor that has a base clock speed of 2 GHz and above is a good choice. Ensure that the processor can go to higher clock speeds with the help of a turbo boost when you need more power.
To summarise, you will be fine with an Intel Core i7 or i9 processor from the last two generations.
The memory on your laptop is probably the second most important part after the processor.
Your memory helps to access the recent workflows and shortcuts so that you can do work more efficiently. Every time something is done, the memory makes a snapshot of it and re-uses it when you have to repeat it.
The minimum memory we would recommend in a serious machine learning laptop is 16GB. This memory should be of DDR4 type and should come with good clock speed.
16 GB of RAM is pretty good when dealing with small and medium-sized projects. For both machine learning and deep learning, you’ll be dealing with a lot of data, so having this memory will definitely improve the overall performance of the laptop.
If you are going to be dealing with large projects, then we recommend going with 32 GB of RAM. This memory will help you deal with the larger file size and will allow you to do much more efficient multitasking.
If you can’t afford the memory mentioned above, then you can compromise and get eight gigs of DDR4 RAM for your laptop. This memory is not as good as a 16GB or 32GB ram, but you will still get your job done as it can help with both machine learning and deep learning.
You get a couple of options when it comes to storage.
You can either go with hard drive discs or solid-state drives. The farmer is a more traditional and a mechanical type whereas the latter does not have any moving parts at all.
Hard drive disks are very slow nature, and or not great when it comes to dealing with modern laptops. They can give you a lot of storage space at a fraction of a cost but are very slow.
Solid-state drives are a tad expensive, but they can open even large files in a quick time. When compared with mechanical drives, SSDs are at least 15 to 17 times faster when it comes to reading and writing speeds.
We highly recommend going with a solid-state drive as it will give you the best performance when it comes to machine learning and deep learning. Never go for a laptop that only has a hard drive as the storage option.
SSDs are particularly useful when working on machine learning and deep learning because they can open applications in a flash. Even larger files open in such a short time, you would not be happy with a mechanical hard drive If you have used an SSD in the past.
And the amount of storage for your laptop is also important. Both machine learning and deep learning deal with a lot of data. You are not going to do well with the laptop that comes with a 128GB SSD. You need at least a minimum of 256 GB or 512 GB of storage. If you can afford it, we would even recommend going with the 1 TB SSD.
If you don’t have the budget for a full SSD laptop, you can get the smallest SSD that is and complement it with a larger hard drive desk. This way you can use the speed and performance of the solid-state drive, and also the space provided by the hard drive disk.
When it comes to running a laptop for deep learning, you need to have a good graphics card so that you can train the models well.
A good graphics card can share the processor’s workload and will improve the overall efficiency of the laptop in many ways. You can reduce the stress on the process significantly which means you can use the laptop for a much longer period than you hoped for.
Having the right dedicated graphics card will also significantly reduce the time needed to have a proper deep learning experiment. A high-end CPU can take care of most deep learning tasks, but having a GPU to complement it will help you to get it done at a much faster rate.
So what is the right graphics card for a laptop for machine learning and deep learning?
If you have the absolute best CPU on the market, you might even get away with the integrated graphics card in it.
But if you’re going to settle with a mid-range or an upper mid-range processor, and then you need a dedicated graphics card on your laptop. Any 10th generation Nvidia graphics card could do a pretty good job when it comes to deep learning.
You can also go with an equivalent AMD GPU as they are a bit more cost-efficient, and can give you the same performance.
If you plan to use your laptop for deep learning and machine learning during travel, then having a laptop with all-day battery life is crucial.
Any laptop that is fit for machine learning and deep learning are going to be resource-hungry devices. Even if your laptop delivers excellent battery life at light conditions, battery life is going to suffer when the laptop’s processor is computing like a madman.
If you can’t pick a laptop with all-day battery life, make sure the laptop comes with at least 6 to 7 hours of battery life so that you can work on one session at a time before having to recharge your laptop again.
The display may not be as important as the other hardware we have mentioned above, but is definitely important.
As someone who works on machine learning and deep learning, you are going to be spending a lot of time in front of your laptop. Having a good display is paramount so that you get the best experience, both in terms of performance and your health.
Always go for a display that has a minimum of full HD resolution. A full HD screen will give you good clarity, Excellent colors, and strain-free viewing experience. If you have the budget, we would recommend even going for a quad HD display for a much better experience.
The size of the display is mostly user preference. Since we are dealing with machine learning, having a 13.3-inch display would be a bit too small. So we recommend going with a 15.6-inch display as it gives you a widescreen that can show you a lot of details at once.
The budget in hand is always going to decide the laptop you’re going to get.
If you are not restricted by your budget, we recommend going for the best laptop you can get for machine learning and deep learning. This way, you get the best experience without any compromise whatsoever.
If you are on a budget, then we recommend checking out our budget option for machine learning and deep learning. The laptop does a decent job but might take a lot more time than high-end laptops would.
Make sure the laptop comes with a good keyboard.
The keyboard is often overseen but is one of the main components of the laptop that can make or break your computing experience.
The keyboard should have a good layout, well-spaced keys, and backlighting so that you can work even in the darkest of environments. The typing experience should be pleasant, and shouldn’t cost you your speed or accuracy.
The trackpad should be a Windows precision trackpad and should have a smoother surface for a better user experience.
Frequently asked questions
What is the right procedure for machine learning?
Any Intel Core i7 processor or above should be a good bet when it comes to machine learning and deep learning.
Refer to the section above to learn more about picking processors for laptops that are mainly geared towards machine learning and deep learning.
How much RAM is enough?
16 GB of RAM would be a good starting point. If you plan to work on heavy projects, then we would recommend going for 32 GB of RAM.
If you are bound by a shoestring budget, then you have no other option than to go with an 8 GB RAM which would give you decent results but it might take a much longer time.
Are gaming laptops good for machine learning and deep learning?
Gaming laptops are usually fine for both machine learning and deep learning.
The key here is in the fact that these laptops come with excellent hardware that is well suited for both the tasks.
Can I work with a budget laptop for machine learning?
Yes, you absolutely can.
We have a lot of options for the best budget laptops for machine learning and deep learning. Feel free to browse our site for them.
The good news is that it is not the only option out there. You can find other budget laptops that are perfect for machine learning and deep learning. But be aware that your experience is going to be much different, and it could take a lot more time to finish tasks.
That brings this mammoth post to its end.
We hope we were of some help in picking the right laptop for your machine learning/deep learning needs.
If you’re still having doubts, get in touch with us so that we can help you find the right laptop for you.
Do visit the Daily Tech Central for more useful guides and other information.