Laptops

Best Laptops For Machine & Deep Learning Reviewed

Although we aren't quite there yet, A.I. technology has come on leaps and bounds since it was first mentioned in science fiction novels decades ago.

Machine learning, which is the technological use of algorithmic models that improve with each set of data, is really starting to take off. Deep learning is a more specific learning method that uses neural networks to analyze human fields such as vision, language processing, and bioinformatics.

Scientists and developers around the world believe that machine learning is a pre-cursor to true artificial intelligence, the key to unlocking a sentient learning machine.

The human brain processes 400 Billion bits of information every single second. Emulating a human brain, therefore, is going to require some serious computing power. If you are planning to enter the field of A.I, deep learning, and machine learning, you are going to need some serious firepower. 

Image

Model

Operating System

Processor

RAM

Graphics/GPU

Screen Size

Battery Life

Check Price

MSI GS65 Stealth-430 15.6' Gaming Laptop,...

Windows

I7 or i9

32 G.B.

RTX 2080

15.6" inches

8+ hours

Eluktronics MAG-15 Slim & Ultra Light NVIDIA...

Windows

I7

64 GB DDR4

RTX 2070 Max-Q

15.6" inches

9 hours

Acer Predator Triton 700 Gaming Laptop, Intel...

Windows

I7

16GB

GTX 1060

15.6" inches

3 hours

ASUS ROG Zephyrus S Ultra Slim Gaming PC...

Linux

I7

16 G.B.

RTX 2070/2080

15.6" inches

7 hours

Gigabyte AERO 15-X9-9RT4K5MP 15' Thin Bezel...

Microsoft

I9

32 G.B.

RTX 2070

15.6" inches

8 hours

Dell G5 15 Gaming Laptop (Windows 10 Home,...

Microsoft

I7

16 G.B.

GTX 1650

15.6" inches

9 hours

2019 Lenovo Legion Y540 15.6' FHD Gaming...

Microsoft

I7

16 G.B.

GTX 1650

15.6" inches

6 hours


Why Invest In A Sophisticated Laptop For Machine Learning

If you want the best results, you are going to want the best equipment. Machine learning is an extremely complex field, one that requires vast amounts of data and computing power. If you do not invest in the parts needed to do this effectively, you may run into problems, or worse, get erroneous data.

Deep learning programming is one of the most demanding types of programming on the market, with spec requirement lists to match.

The right laptop should allow you to work untethered, without the worry that your hardware cannot keep up with your work. We have done lots of research on this, and below, you will find the recommended spec list. If you pick a machine with our recommended spec as a minimum, you should never have to worry about your hardware.


Laptop Requirements For Machine Learning

Processor/CPU – Recommended 9th/10th gen Intel i7 or above

The processor is the brain of your computer. A strong processor is crucial for the smooth running of your machine, and when it comes to machine and deep learning programming, your processor is going to be put under a considerable strain.

When it comes to CPU's, you are going to want to look at several factors. Firstly, look at the clock speed, measured in GHz. This is how many processes each core of your CPU can undertake every second. The next is the number of cores. Each core can undertake its own processes. So a dual-core 3.0ghz clock speed processor should be able to work at 6.0ghz.

Next, you need to look at the generation and model of the CPU.

Intel core models go, from slowest to fastest:

  • Intel i3
  • Intel i5
  • Intel i7
  • Intel i9

Then you will want to consider the generation. We are currently on the 10th generations of Intel chips, and we highly advise aiming to pick up a processor from either the 9th or 10th generation. They are much more powerful, efficient, relevant, and will future-proof you for much longer.

Simply Put: The processor is the control room responsible for all of your computer's processes. When deciding what to spend your budget on, this should be a priority. We highly recommend an intel i7 processor from the last two generations.

RAM – Recommended 32GB DDR4 (16gb bare-bones)

The second most important component in your computer when it comes to running demanding programming is the RAM or Random Access Memory. Think of your RAM as a lightning-fast delivery system, one that stores shortcuts and cheat sheets that your processor has created to work more efficiently.

Every time your CPU completes a process, it stores the steps it took to complete that process in your RAM. The next time your CPU needs to make that same process, it accesses those cheat sheets stored in your RAM.

RAM is found in a range of different forms. The most important thing to look for is the storage size that your RAM has. RAM comes in 2-64gb format. The more here, the better. If you want your computer to perform as well as possible, a higher RAM storage is vital. Running deep learning programming is, as we have already discussed, extremely spec hungry.

Simply Put- RAM is your computer's store of cheat sheets for efficiently completing processes. It is a rapid access storage system that can send data at high speeds to support your other components. We recommend a minimum of 32gb RAM, however with RAM, the more you have, the better. At a bare minimum, 16 G.B. will suffice, although you may run into throttling issues.

Graphics Card – Recommended NVIDIA Dedicated Cards, not on-board.

When training deep learning models, the right graphics card is crucial. Even while using thousands of cores and threads, a GPU removes the drawbacks of running multiple cores. The hardware threats that come from using multiple threads, running at the same time, are vastly reduced if you have a strong GPU to support your CPU.

A strong GPU will reduce the time needed to run a deep learning experiment. Although large numbers of simple tasks can be achieved easily with strong CPU complex tasks that require you to work with huge data-sets will require a good GPU.

When looking for a good GPU, you are going to want to look at the two most important aspects. The first one being the memory bandwidth of your card, aim to get the highest possible bandwidth you can in your budget.

The second important factor is the number of GPU cores; the more data you are looking at, the more cores you will need to process everything quickly.

Simply Put – A discrete graphics card isn't just a recommendation; its 100% needed for any deep learning model. A GTX 1650 and above will enable your laptop to process huge amounts of parallel data. As well as this, if you enjoy gaming or dabble in video editing, a strong graphics card will allow you to do these.

Storage Space

Storage space is exactly what it says on the tin, your computer's place for storing files, data, pictures, videos, etc. Ample storage space is essential if you need to store large amounts of any of these things. 

There are two types of storage commonly used, HDD's and SSD's.

HDD's or Hard drives are the staples for storage systems. Used for over a decade, they work by utilizing a laser and disk system and have the potential for the largest storage. They are incredibly cheap, one of the reasons they are found in almost every machine besides your top-end models.

SDD's or Solid State Drives are the future of storage solutions. Using a similar type of flash memory to your computers RAM, they are blisteringly quick compared to old fashioned HDD's.

They boot programs in a fraction of the time and allow for file access, transfer, and storage at a rate that simply leaves an HDD in the dust. The only downside to using SDD's is that they cost a lot more than HDDs.

Simply Put: With machine learning, you need the quickest memory possible. At a minimum, you are going to need an SSD with at least 256gb of storage. Upgrading the size will not necessarily improve performance but will give you more storage space to use before having to delete things.

Battery Life

The need for battery life is going to be dependent on your individual needs. If you are planning to be untethered from an outlet for long periods, you are going to want the best battery life possible.

All deep learning capable laptops are going to be power-hungry machines. With battery life, cost is going to be your only issue. To create powerful machines that are more efficient, more expensive parts have to be used. If you have two laptops with the same spec and processing power, but one has better battery life, expect to pay more for the latter.

A good length to aim for, in our opinion, is around the 7-hour mark. This allows for most people to get a full days work out of their machine without needing to be plugged in.

Extra Features

Often, it's the extra features that help us decide between two similarly priced laptops. Extra features come in a range of shapes and forms and will differ in importance depending on your needs. If you are running a high-performance laptop for long periods at full load, a strong cooling system is imperative in ensuring the longevity of your machine.

The ports that can be found on your laptop are another essential feature, and if you have particular peripheral needs, you need to make sure that your laptop has the right ports to allow for that.

A final one to bear in mind is the keyboard. A good keyboard is essential when it comes to a laptop you are going to be spending many hours typing on. If you don't like your keyboard, it will negatively impact your work, trust me.

Price & Warranty

The budget for a laptop capable of performing deep machine learning is going to have to be larger than the usual laptop budget, but every penny still counts. Making sure that your dollars are going as far as possible is extremely important.

Warranty wise, it’s good to bear in mind that not all laptop companies perform in the same way when it comes to the quality of their warranties and customer service. Some companies, like Dell, for example, have exemplary service. Dell even has a service in place that enables them to send a technician out to fix your dell work laptop within 24 hours of it breaking.


7 Best Laptops For Machine/Deep Learning Reviewed

1. MSI GS65 Stealth-430

MSI GS65 Stealth-430 15.6" Gaming Laptop,...
  • Display: 15.6" Fhd, Anti-Glare Wide View...
  • Graphics: NVIDIA GeForce RTX2080 Max-Q 8G...
  • Processor: Intel Core i7-9750h 2.6 - 4.5GHz....
  • Memory: 32GB (16G*2) DDR4 2666MHz 2 Sockets;...

Our Top Pick!

Operating System

Windows

Processor

I7 or i9

RAM

32 G.B.

Graphics/GPU

RTX 2080

Screen Size

15.6" inches

Battery Life

8+ hours

Our top pick comes from a brand that has been one of the forerunners of performance gaming laptops for many years now. MSI is known by gamers and tech enthusiasts alike for using high-end components on their laptops.

They also place less emphasis on style, lowering the overall cost by using laptop shells that do not cost a fortune. This leads to a laptop that always performs much higher than the price tag attached.

The GS65 Stealth-430 is one of MSI's flagship models. This 15.6" laptop holds some of the most powerful laptop grade performance parts on the market.

To start things off, the incredible 1080p screen has a refresh rate of 240hz, making it the quickest refresh rate on any laptop we have reviewed. The thin bezels on this screen allow for a truly immersive experience while gaming or watching videos and looks stunning.

To back this amazing screen, you need amazing components underneath, and the GS65 has fantastic parts in abundance. The core starts as a 9th H gen intel i7.

Still, you can upgrade to the incredible i9 if you prefer, these CPU's are supported by a whopping 32gb DDR4 RAM and a 1tb NVMe SSD, allowing for blisteringly quick data transfer and boot up times as well as processing power that can handle anything. This enables the GS65 to handle deep learning and machine learning models with ease.

The graphics card is also a serious piece of artillery. Using the top of the range RTX 2080, one of the most powerful consumer graphics cards available, graphical performance is not going to be an issue. With NVIDIAS Turing GPU architecture, you can expect to see revolutionary ray-tracing graphics and programmable shading.

The battery life in the GS65 may be the most surprising aspect too, boasting up to 8 hours of unplugged battery life, this is almost unheard of in laptops that contain this much power.

Then you have MSI's impressive cooling system, keeping the high-end components inside at a manageable temperature, again this is often something that manufacturers of laptops this powerful fail to do.

The power adaptor has been created to have as slim a profile as possible, while not a major factor, it is still really nice to have a small adaptor when traveling around with your laptop.

All in all, if you want a lightning-fast laptop, armed to the teeth with some of the highest performance parts available, in a sleek, stealthy design with an amazing RGB keyboard, this is the laptop we would suggest as our top pick overall.

Good
  • Best In Class Performance
  • Amazing Cooling System
  • Sleek Design
  • Extremely High Refresh Rate Screen
Bad
  • Very Pricey
  • Speakers Aren't The Best

2. Eluktronics MAG-15

Eluktronics MAG-15 Slim & Ultra Light NVIDIA...
  • Designed in collaboration with Intel -...
  • Intel Core i7-9750H 6-Core Processor (Up to...
  • 8GB GDDR6 VRAM NVIDIA GeForce RTX 2070 Max-Q...
  • 15.6" Full HD (1920 x 1080) LED-backlit IPS...

best laptop for deep learning

Operating System

Windows

Processor

I7

RAM

64 GB DDR4

Graphics/GPU

RTX 2070 Max-Q

Screen Size

15.6" inches

Battery Life

9 hours

Our second laptop was hot on the heels of the GS65 for top pick; the margins between the two were extremely tight. The top pick went the GS65 due to the stronger aesthetics and brand reputation.

Our best laptop for deep learning is the MAG-15 by Eluktronics. Now for those who read our reviews a lot, you have probably never heard of Eluktronics. That isn't surprising, this is a relatively new brand, aiming at taking out the big dogs.

The MAG-15 has been a talking point in the tech scene for some time now and for good reason. With spec that rivals the GS65 but with a price tag nearly $1000 less, the MAG-15 is certainly making waves.

The MAG-15 comes with the same 9th gen i7 processor, a ridiculous 2TB SSD, whopping 64GB of DDR4 RAM, and an RTX 2070 processor. These components combined offer a slight performance advantage over the GS65.

The screen is equally stunning; however, the refresh rate is 144hz, still impressive, but the GS65 has the edge slightly here. The MAG-15's screen is still extremely smooth, though, and to the untrained eye, you wouldn't be able to tell the difference.

Eluktronics claim that this is the lightest 15.6" high-performance laptop on the market, and you can see the reason why as soon as you see the MAG-15. Built out of a particular type of magnesium that allows for a mix of premium sturdy design and portability.

The battery in the MAG-15 is a strong 94 whr battery, giving it the best battery life of any performance deep learning rig, we have tested. The glass touchpad allows for an unrivaled level of control, and every touch registers just right. This is extremely important in a laptop that is designed to be portable.

The RGB light-bar is a nice touch, too, allowing for a nice level of customization, if not a little gimmicky.

Another place where the MAG-15 shines is through its ports and connectivity. With one thunderbolt 3, 1 HDMI, 2 USB 3.0's a card reader, Kensington lock, and mic slot, there should be enough ports for anyone. The Gigabit Ethernet RJ45 is one of the best wi-fi cards available, too, providing a secure connection and range with a low chance of drop-out.

To sum it up, while the MAG-15 lacks the polish of our top pick, the GS65, it shines in different ways. Higher storage, both in the RAM and SSD, allows for quicker boot and transfer times while the magnesium build makes the MAG-15 extremely light.

The cooling system is also slightly better, and the battery life marginally bigger. The choice between these two incredible laptops will most likely come down to your individual preferences.

Also recommended: 5 Best GPUs for Deep Learning

Good
  • Price to Performance Ratio Extremely High
  • Ridiculous RAM and SSD Size
  • Extremely Lightweight
  • Glass Touchpad Is Awesome
Bad
  • Poor Speakers
  • Annoying LED System

3. Acer Predator Triton 700

Acer Predator Triton 700 Gaming Laptop, Intel...
  • 7th Generation Intel Core i7-7700HQ Processor...
  • NVIDIA GeForce GTX 1060 with 6GB of dedicated...
  • 15.6" Full HD (1920 x 1080) LED-backlit IPS...
  • 16GB DDR4 Memory & 512GB PCIe SSD in RAID 0...

best cheap laptop for machine learning

Operating System

Windows

Processor

I7

RAM

16GB

Graphics/GPU

GTX 1060

Screen Size

15.6" inches

Battery Life

3 hours

The best cheap laptop for machine learning slot falls to the Acer Predator Triton 700.

The Triton 700 comes with an intel i7 CPU at its heart as well as a GTX 1060 with 6gb dedicated on-board RAM and a 16GB DDR4 Dedicated RAM. A 512GB SSD rounds everything up. All in all, the combination of these components places the Triton 700 at the top of the middle class of performance laptops.

The high level of performance found in the Triton is squeezed into a thin portable design, measuring only 0.74 inches. This makes it lightweight and easy to transport.

Inside this compact, lightweight chassis are the 2 Aeroblade 3D fans, which provide the Triton with a great level of airflow, keeping the important components cool. It does this by expelling the hot air through 5 heat pipes.

The RGB keyboard is also a thing of beauty, with keys that can be individually programmed mounted in mechanical switches for that premium mechanical feel. Every keystroke is super-responsive and reduces the issue of ghosting.

The Full-HD IPS display is pretty impressive too, with a 16:9 cinematic format and true color panel, everything looks gorgeous on the Triton, whether that is triple-A games or movies.

If you have ever had to deal with wireless problems like drop-out or lag, you will know how vital your wireless connection is.

That's where the Triton really shines, and the Killer DoubleShot Pro system allows you to choose the bandwidth that each application uses as well as enabling both ethernet and wireless connections to function at the same time. This effectively doubles your internet.

The Predator Sense technology that comes installed on the laptop is a nice touch, too, allowing for complete control over the performance of the individual components found inside. This is great if you need to tweak certain settings to give better performance in different tasks.

For the price, there isn't much to fault with the Triton 700. Utilizing strong performance parts, Acer's incredible build quality, and a cooling system that is hard to beat, it is a great laptop. If you are looking for a budget-friendly option, one that can handle all your machine learning needs, this is the one to look at.

Good
  • Great Price-tag
  • Strong Performance
  • Quality Cooling System
  • Mechanical Keyboard Is Lovely
Bad
  • Poor Battery Life
  • Touchpad Gets Hot

4. ASUS ROG Zephyrus S

ASUS ROG Zephyrus S Ultra Slim Gaming PC...
  • 15.6” full HD 144Hz IPS Type Display | 3...
  • 8th generation Intel Core i7 8750H (upto...
  • 0.62” thin, 4.6 pounds | ultraportable...
  • 16GB 2666Hz DDR4 | 512GB PCIe NVMe M.2 SSD |...

Best Linux laptop for machine learning

Operating System

Linux

Processor

I7

RAM

16 G.B.

Graphics/GPU

RTX 2070/2080

Screen Size

15.6" inches

Battery Life

7 hours

When looking for the best Linux laptop for machine learning, your options become somewhat reduced. There is still a myriad of choices out there, though.

Our top pick in the Linux department is the ROG Zephyrus S. The Zephyrus was primarily designed as a gaming laptop. This means that the components found inside are high spec and perform well under strain.

The Zephyrus comes with a choice of graphics cards, choose from either the RTX 2070 or the RTX 2080. Both cards allow for a high level of graphical prowess. Supporting these cards is an intel i7 core, 16GB DDR4 RAM, and a 512 GB SSD. A combination that gives the Zephyrus a serious bite.

The screen on the Zephyrus is simply beautiful too. By using super-narrow bezels and a 144hz refresh rate monitor combined with innovative 178-degree viewing angle technology, ASUS has made one of the most impressive screens on a laptop we have ever seen.

It may not utilize as many pixels as a 4k screen, but after testing thousands of screens, I can honestly say it performs better than most 4k panels.

The speakers on the Zephyrus utilize an aimed system that capitalizes on dynamic range technology to provide remarkable levels of bass and clarity. The Zephyrus is also equipped with a great number of connections, with Type-C (USB-C) ports, USB 3.1 Gen 2 and Gen 1 speeds, and Type-A USB 3.1 Gen 2 and USB 2.0 ports.

We talk about thermal capability a lot in our reviews. High-performance parts produce a lot of heat, and combating that heat is one of the biggest problems laptop tech teams face during design.

The Zephyrus, however, has an automatic three-speed cooling system with beefed-up 12v twin fans that send heat out f the anti-dust treated vents. This keeps the laptop and keyboard cool.

Unfortunately, every laptop has its bad points. The Zephyrus doesn't come with a thunderbolt or ethernet port, which are pretty crucial ports. The fans also get pretty loud under strain. This isn't so much of an issue for us as the fans do their jobs excellently, preventing throttling and keeping the system cool. For us, a louder fan is a small price to pay.

Good
  • Incredible Heat Control
  • Powerful Performance
  • Amazing Screen
  • Slim and Lightweight
Bad
  • No Ethernet/Thunderbolt Port
  • Loud Fans

5. Gigabyte AERO 15-X9-9RT4K5MP

Gigabyte AERO 15-X9-9RT4K5MP 15" Thin Bezel...
  • 15.6" 3mm Ultra-thin bezel | AUO UHD Adobe...
  • Intel Core i9-8950HK (2.9Ghz-4.8GHz) | NVIDIA...
  • 32GB DDR4 2666MHz Samsung DRAM module | M.2...
  • Microsoft Azure AI | all Intel inside | Intel...

Best Laptop For Machine Learning Programming

Operating System

Microsoft

Processor

I9

RAM

32 G.B.

Graphics/GPU

RTX 2070

Screen Size

15.6" inches

Battery Life

8 hours

Next, we have the best laptop for machine learning programming, the GIGABYTE Aero.

Firstly, the Aero has one of the most impressive screens we have ever tested. Utilizing innovative X-Rite color calibration, an almost non-existent bezel, and a 144hz refresh rate, it looks stunning.

What is more impressive is that even with the bright colors and quality of the screen, the Aero holds the claim of the highest battery life on this list with a meaty 10 hours of productive work.

The Aero comes equipped with a strong arsenal of performance parts that make it extremely capable of dealing with any machine learning programming.

The RTX-2070 graphics card is one of the most powerful on the market, and supporting it is one of the best CPU's available too, the Intel Core i9. Alongside these immense components, are 32GB DDR$ RAM and a 1TB m.2 SSD, the fastest on the market.

When dealing with machine learning and A.I., what laptop could be better to use than the Aero, which comes with the latest Microsoft Azure AI technology? This tech processes your data and automatically determines the best CPU and GPU wattage and performance settings. Meaning your laptop performs flawlessly in every situation.

The Aero also has Supra Cool technology with unique cooling systems built-in. This system makes use of the Azure AI system, adaptively cooling in line with what demands you are placing on it.

The Aero is another laptop to make use of Killer DoubleShot technology, allowing for the use of both ethernet and wireless and providing the strongest wi-fi link we have ever seen.

The 760p SSD, which allows data transfer speeds of up to 3.2 GB/s works effortlessly with the Aero's many ports. With Thunderbolt 3 connectivity and a range of legacy ports, staying connected is ridiculously simple.

The only downside with the Aero, in our opinion, is the eye-watering price-tag that is attached. This is a laptop designed for the most serious of users. Fortunately, the spec list is as impressively high as the price tag is.

There isn't much on the market that can compete with the Aero in terms of performance. If you have deep pockets and want the best that money can buy, this is the laptop for you.

Good
  • Epic Performance
  • Beautiful Screen
  • Extremely Light
  • All Intel Build
Bad
  • Price

6. Dell G5

Dell G5 15 Gaming Laptop (Windows 10 Home,...
  • Lead the pack with an elegant sleek design...
  • An innovative dual-fan cooling system with an...
  • 15.6-inch FHD (1920 x 1080) anti-Glare LED...
  • NVIDIA GeForce GTX 1650 with 4GB GDDR5...

Best Dell Laptop For Machine Learning

Operating System

Microsoft

Processor

I7

RAM

16 G.B.

Graphics/GPU

GTX 1650

Screen Size

15.6" inches

Battery Life

9 hours

Now for those of you who have read my reviews before, you probably know that Dell is perhaps my favorite brand. A Dell laptop tends to make itself onto my list nine times out of 10.

This isn't due to my bias, I pride myself on being totally unbiased, but because Dell simply make innovative high-performance machines, and they make them well. Paired with this, they have some of the best customer service in the tech world, which makes it easy when things go wrong.

The G5 is one of those laptops that surprises you in every way. With one of the lowest price-tags on this list, you might be expecting a slightly lackluster machine. That isn't the case with the G5.

Shipped out armed with a 9th gen i7 processor, 16gb DDR4 RAM, and a GTX1650, you get a healthy level of performance. The 1TB SATA HDD/256GB SSD combo works well too, allowing you to store those crucial fast access files on an extremely fast SSD, while also making use of the price reduction of using an HDD for the main storage.

The 15.6-inch 1080p monitor is one of the brightest we have ever tested too. The images it displays look gorgeous, blacks appear dark and deep, and colors are incredibly vibrant. With a 144hz refresh rate as well, the detail produced by the G5 is hard to beat.

One of the reasons I love dell so much as a writer is their keyboards. Both my Dell laptops have incredible keyboards, and the G5 is no different. Typing on the G5 is satisfying. The keys have the perfect throw and resistance and are responsive and full of life. 

Dell also knows the best ports to include on their laptops, and you get a USB 3.1, USB-c, headphone jack, and HDMI. You also get an ethernet port and a lock slot.

The G5 also has surprising battery life. Gaming laptops have a notorious reputation for being a little bit lacking. The G5, however, manages to squeeze nearly 9 hours of life out of its battery. This is impressive, considering the brightness and quality of the screen.

The G5 summed up is "wonderfully surprising." The performance is strong, the screen is incredible, and the battery life is good. This is perhaps the best laptop if you solely look at price to performance ratios.

Good
  • Surprising Performance
  • Bright Vibrant Screen
  • Dell Quality
  • Great Keyboard
Bad
  • Heavy
  • HDD Is Slow vs. SSD's

7. Lenovo Legion Y540

2019 Lenovo Legion Y540 15.6" FHD Gaming...
  • Powered by latest 9th Generation Intel...
  • 15.6” FHD (1920 x 1080) IPS anti-glare...
  • 16GB DDR4 2400 SDRAM Memory for full-power...
  • 802.11 AC (2 x 2) + Bluetooth 4.1; 3 x USB...

Best Lenovo Laptop For Deep/Machine Learning

Operating System

Microsoft

Processor

I7

RAM

16 G.B.

Graphics/GPU

GTX 1650

Screen Size

15.6" inches

Battery Life

6 hours

Another brand that has taken the world by storm is Lenovo. Lenovo has made a name for themselves by using performance components found in some of the world's fastest machines and using them in laptops that have a price-tag that is much more appealing.

The best Lenovo laptop for a deep/machine laptop is the Legion Y540. The Y540 comes with a hexacore Intel i7 core with up to 4.5ghz clock-speed. This is one of the fastest CPU's available that doesn't cost as much as a car. 16GB DDR4 RAM backs this up, and a 512GB SSD/1TB HDD combo provides you with the best of both worlds' storage wise.

The GTX 1650 allows for a high level of graphical performance, too, and the 802.11ac Wi-fi card gives unbeatable Wi-fi performance.

Lenovo also has a reputation for using stunning screens on their laptops, and the Y540 is no different. The 1080p IPS anti-glare screen creates striking colors and clarity. The IPS technology allows for great viewing angles, and the energy-efficient LED backlighting stops the screen from draining your battery quickly.

Port wise, you get a 802.11 AC (2 x 2) + Bluetooth 4.1; 3 x USB 3.1 Gen 1, Mini DisplayPort 1.4, HDMI 2.0, RJ45 Ethernet, Kensington Wedge Lock slot, 1 x USB 3.1 Gen 2 Type-C and a 3.5 mm headphone jack.

The keyboard on the Y540 showcase how innovative Lenovo can be, the mechanical keys are so quiet, the only person who will know that your keyboard is mechanical is you.

The most surprising thing about the Y540 might be the cooling system. Although it lacks the fancy innovative tech of some of the other laptops on this list, Lenovo manages to keep all of the temperatures across the board really low.

To sum it up, Lenovo has proven that its reputation is well deserved. The Y540 has a great level of performance and innovation. The screen looks great and is efficient, which allows for great battery life. The keyboard is great to type on, and the price tag is lower than you would expect for the performance.

Also recommended: 5 Best Lenovo Laptops for Students

Good
  • Surprising Performance
  • Awesome Pricing
  • Amazing Cooling
  • Great Keyboard
Bad
  • Lower Battery Life
  • No SD Slot

Deep Learning Vs. Machine Learning: What's The Difference?

The main difference between deep learning and machine learning is how data is organized and presented. Machine learning algorithms tend to require data that is structured, whereas deep learning networks rely upon vast numbers of artificial neural networks.

Machine learning algorithms are more geared toward learning by understanding data. In essence, machine learning systems require an element of human teaching.

Deep learning, on the other hand, does not require this human input. The layers of neural networks automatically sort data into different concepts, allowing deep learning systems to learn from their own mistakes.


Cloud Computing: Alternatives For Costly Deep Learning Laptops

Deciding between cloud computing and on-board data is one of the decisions you will have to make as a computer scientist. Traditional cloud storage providers like the Amazon Web Service or AWS allow you to save money on your computer spec by utilizing the vast amount of cloud storage you get through AWS.

The general consensus is that for simple to intermediate deep learning strategies, you will be able to get by using cloud systems. As you progress into using more complex deep learning systems, the need for on-board storage and performance becomes a lot more pronounced.


Essential Machine Learning Software & Languages

The vast world of machine learning software and languages can be hard to navigate, with so many options, deciding what is necessary and what isn't can be confusing. Here are the software and languages that we believe are essential for machine learning.

Tensor Flow

Tensor Flow is used to train and run neural deep learning networks. It works by allowing devs to create structures that explain how data moves on a graph. It does this by utilizing the Python coding language, which is one of the easier languages to learn. It works in both cloud and on-board scenarios.

Oryx 2

Oryx 2 utilizes lambda architecture and is built on Apache Spark. It is one of the most used frameworks for developing large real-time machine learning systems.

Rapid Miner

Built specifically for analytics teams, Rapid Miner allows for the entire data-set lifecycle to uncover specific patterns inside large data-sets. By using a huge array of learning algorithms, you can then use data-mining to analyze everything relevant.

Shogun

Shogun is a software written in C++. This free machine learning software uses an open-source framework and offers huge numbers of algorithms and data structures for its users to access.


People Also Ask (FAQs)

How much RAM do I need for machine learning?

With RAM, the more, the better. This is especially true for machine learning, as the large amounts of data involved will require lots of Rapid Access Memory (RAM). 16GB should be your absolute minimum, although we recommend 32GB as standard.

Where is the best place to find machine learning stickers for laptops?

We like to use redbubble.com for all our sticker needs.

Are gaming laptops good for machine learning?

Gaming laptops are generally good at all professional tasks. Triple AAA+ gaming requires some of the highest spec demands of any computing activity. This means that good gaming laptops usually come with some of the highest specs on the market, making them perfect for machine learning.

Is it worth investing in a Tensorbook instead?

This will depend on your individual needs. Tensorbooks are brilliant at what they do, and they also come with a very high price-tag. If this machine is for deep learning or machine learning only, a Tesnorbook may be the best option.

For the vast majority of people, it is overkill, though, and if you use your laptop for gaming or video editing, you will be better off with one of the laptops on this list.

Where is the best place to find a budget laptop for machine learning?

We always use Amazon for our tech needs. Their returns policy allows for security during purchasing, and their prices are always the most competitive.


Conclusion

Hopefully, this article has given you enough education and knowledge to make an informed decision when it comes to buying a new laptop for machine/deep learning. All of the laptops on this list perform where they need too.

If you have read this article and are still unsure, I suggest going for our top pick the MSI GS65 Stealth, this is the best overall performer and comes with a middle of the group price-tag.