Monday, November 28, 2022

Best Laptop For Data Science 2021

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Alienware X14 Gaming Laptop

BEST Laptop For Data Science 2021!

If youre looking for a laptop that will let you do some gaming on the side while still being able to handle data science workloads, then the Alienware x14 Gaming Laptop is a great choice.

The Alienware brand is known for its gaming laptops which means that this particular model is equipped with great features for an immersive gaming experience.

One of these features includes the NVIDIA GeForce RTX 3050 graphics card for great graphics while youre playing games.

But dont worry, this doesnt mean that your data science tasks will suffer. The Alienware x14 is also able to handle any data analysis or machine learning algorithm you throw at it.

Data scientists prefer to use gaming laptop for their data analysis work too anyway!

If youre going to handle your own personal data science projects, youll most definitely do fine.

Technical Specifications:

  • Operating System: Windows 11 Home
  • CPU: 12th Gen Intel® Core i5-12500H
  • GPU: NVIDIA GeForce RTX 3050
  • RAM: 16 GB up to 32GB
  • Storage: Up to 4TB PCIe M.2 NVMe Solid State Drive
  • Battery Life: Up to 6 hours

Unique Features:

My Take:

The Alienware x14 Gaming Laptop is the best laptop with a balance between data science and gaming.

Dont let this branding of being a gaming computer brand fool you! The Alienware x14 Gaming Laptop is an exceptional machine for all your data science needs.

If youre looking for a laptop that can do both, this is the one I recommend. Just keep in mind that it can be quite expensive.

New Apple Macbook Pro

Apple MacBook Pro is always able to find the soft spot in all techies hearts. Apple always strives to provide the best machinery without harming the environment and global ecosystem.

If youre an aspirant pursuing a course in Data science and analysis or doing an entry-level job, this machine must be on your wishlist. Apple hardware never leaves any flaws while designing, and they also managed to provide the best hardware configuration by assembling it in the tiny chassis of the MacBook Pro.

Apple MacBook Pro comes with an 8th generation quad-core Intel Core i5 processor with a clock speed of 2.4 GHz and Turbo boost up to 4.1 GHz and 128 GB of eDRAM. Intel Iris Plus Graphics 655 wont let you lag in the display performance.

Retina Display and ToucBar with fingerprint are the most popular features of Apple MBP. Most scholars will ignore the port options and go for it because of its hefty features and performance compared to all other competitor devices.

You will receive an identical opinion from an expert on the MacBook Pro 13 inches. If you can spend almost double the amount, you can go for MacBook Pro 15 inches, but this is also no match for any windows based competitor.

You can bet on it, and it will suffice all your needs, provided you need to spend some extra bucks to purchase an external ports adapter for the connectivity.

Pros:

Because Applications Are Moving To The Cloud

I still remember back in 1999 when a colleague explained the concept of “hotmail” to me: “No man! That’s the thing. There is no email client on your desktop. You don’t need to download the emails to Outlook Express or Thunderbird. It’s just a website, you log in, and your emails are there! So you can check your emails from any computer, anywhere in the world!”

At the time, that blew my mind.

Since then, most applications have migrated to the web, and are accessed from a browser. In fact, 5 years ago, I might have typed this draft in a local copy of MS Word 2016. But instead, today, I’m typing the draft directly in a Web Browser.

Now, just because everyone’s doing it does not mean that you should too. But when there is a pattern, there’s often good reasons behind the pattern. This XKCD illustrates my point: If everyone is doing it, you should at least ask yourself why they are.

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Best Laptops For Data Science Students

If you are new to data science or planning to start learning data science, you should know that you need to have a laptop that meets all the minimum requirements for data science tasks. As a data science student, you dont work with such large datasets as data science professionals. You dont need to buy an expensive laptop as a data science student! So, if you are looking for some of the best laptops you can choose as a data science newbie, this article is for you. In this article, I will introduce you to some of the best laptops for data science students based on all the system requirements.

Acer Predator Helios 300 Ideal For Data Analysis

7 best laptop for artificial intelligence USA (2021)

Since the Acer Predator Helios 300 packs some very serious configuration, it needs a proper cooling to maintain it processing power and overall high specs.

Acer came up with a surprising innovation that introduces 3D cooling fan blades. They reduce the noise and improve the cooling no matter how heavy the processes are.

With the 9th generation Intel Core i7 processor, GeForce GTX 1660 graphics card, and plenty of storage space with 16 GB of RAM.

The dedicated graphics card itself has 16 GB of dedicated RAM for graphics processing and is even overclockable for much better performance.

We were surprised to see a very decent battery life since we expected it to be below average due to the high processing power and components that consume a lot of computing power.

However, the battery can last up to 3 hours, which isnt a lot when you think of it at first by todays standards but is amazing for a portable laptop for data science of this configuration.

Recommended Configuration For Acer Predator Helios 300

CPU: Intel Core i7-9750H 6-Core Processor | Graphics:NVIDIA GeForce GTX 1660 Ti Graphics | RAM: 16 GB RAM | Screen: 15. 6 Full HD Widescreen LED-backlit IPS display | Storage: 512 GB SSD| Operating System: Windows 10 Home | Battery Life: 3 hours | Weight: 5.29 lbs

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Dell Xps 13 Or Dell Xps 15

My backup computer is a Dell laptop that I bought 10 years ago and it still works well. Its not the same model that I recommend here though.

But my point is this: Dell is a very good brand that I trust a lot. They create high quality, long-lasting computers. And in my experience, their customer service is excellent, too. I have a few data professional friends who use a Dell XPS model And they backed it up, too: A Dell XPS laptop fits very well for the needs of a data scientist.

E.g. a DELL XPS 13 with 8GB memory and with a core i5 processor seems to be a great alternative to a 13 MacBook Pro.

Dell XPS

As I described above, I prefer the 13 screen size. But there is a 15 version here as well. Also, you can customize your XPS in many ways: more RAM, better processor, even touch screen

So if you prefer to go with a Windows computer, the Dell XPS is an excellent choice!

Because That’s The Way They Started

Many Data Scientists come either from academia, or come from another field, and “picked up” Data Science on the go.

In both cases, they would have rarely had to deal with enterprise-grade IT requirements and support. Since they had no IT support to rely on and build tools for them, they did their own IT support and stopped as soon as they got to an environment that was good enough.

However, this says nothing about how performant, secure, maintainable and standardized that environment might be. These criteria become a lot more critical, as your career in Data Science progresses!

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Lenovo 320 Business Laptop

This would be the last laptop which we will be talking about here in this listicle. This laptop is good for those whore very tight on the budget and can only buy a decent entry-level laptop. Although this is not a truly entry-level laptop, going below this budget will result in poor performance which you would not want if youre going for Data Scientist field.

Lenovo 320 laptop comes with a 15.6-inch display with regular size screen bezels. The laptop boasts Intel Core i5-7th gen processor, Nvidia 940mx 2GB graphics card, 8GB of RAM and 1TB of storage. It weighs 2.2kg which is not that compact and also not that heavy the laptop sits between a sweet spot of portability. Theres no operating system pre-installed so youll have to do that part of thing by yourself.

When it comes to the business laptops, the brands dont compromise on build quality so you can definitely expect a premium and sturdy quality. This laptop can easily last you for a couple of years if used carefully and properly.

Pros:

Want More Ideas To Upgrade Your Workflow

Best BUDGET Laptop For Data Science in 2022 – MUST BUY

If youre not sold on any of the gear above, we recommend checking out Amazons High Performance Laptops page. Sort it by Average Customer Review to see the most well-liked machines there. New laptops come out all the time, so you can see for yourself if any new ones have been released that people love.

Just remember to keep an eye on the things that matter most in machine learning laptops, like the graphics card and hard drive space.

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Because Laptops Sometimes Break

Hardware and software failures happen. When those events happen, you are confronted with unexpected questions:

  • How quickly will you be able to get back to work after you receive your replacement laptop?
  • Did you have good, recent backups of everything you need?

If you don’t have good backups, you might have lost some things forever.

Or, your local Jupyter Notebook server was lovingly crafted over the years, and you just can’t remember all the things you had done to get there.

If any of this rings true, your dead laptop was your “perfect snowflake,” and you won’t be able to rebuild it the same way. And even if your laptop survives unscathed for a few years, your employer will eventually replace it with a newer, faster and shinier one eventually. So it makes sense to keep as little content and tools as possible on it.

Razer Blade Pro 17 Incredible Processing Power

Razer managed to do an incredible job by making a powerful yet compact laptop and even feature a large display by introducing edge-to-edge technology.

This laptop features a narrow bezel design that improves aspect ratio, reduces distractions, and improves the viewing angles.

Even though Razer Blade 17 is a compact laptop, its very thoroughly built. It is very thin, but is rugged with a CNC aluminum material that forms the unibody.

No matter where you take this laptop, you will be protected and worry-free.

Its also one of the most powerful laptops on this list as it features a powerful 10th Gen Intel Core i7-10875H processor that can go up to 5.1 GHz. It puts the other laptops on this list to shame simply by its processor alone.

It even has a top of the line NVIDIA GeForce RTX 2080 Super which helps in rendering and loading of graphic files.

We arent sure how Razer managed to add so many ports and still make this laptop quite thin and compact but its brilliant work.

You will never lack ports since youll have 3 USB ports, one Thunderbolt 3 port, and even a mini HDMI display port.

Recommended configuration for Razer Blade Pro 17

CPU: 10th Gen Intel Core i7-10875H Processor | Graphics: NVIDIA GeForce RTX 2080 Super| RAM: 16 GB RAM| Screen: 17 IPS-Grade 300Hz 4K | Storage: 1 TB SSD | Operating System: | Battery Life: 4 hours | Weight: 10.63 lbs

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Guide To Buying A Laptop For Data Science

Data science is the new frontier for analytical computing and essential to innovation in machine learning.

Data scientists need powerful laptops because they are constantly manipulating massive datasets of gigabytes or even terabytes of data at one time, running complex algorithms over those datasets, building predictive models, creating interactive web visualizations all while developing hypotheses about whats driving changes in the data and testing them against different scenarios.

If youre looking for the best laptop for data processing, a laptop for machine learning, analytics, deep learning, artificial intelligence or data analysis our data science laptop requirements & guide will help no end!

1) RAM

How much RAM is required for the best data analysis laptop? As much as you can get. Indeed, data never gets smaller the more you work with data, the more data will be produced. With decent RAM, you can efficiently work with a cloud-based system. Most of the pros claim to get by with 8GB minimum for data science, with 16GB as the sweet spot.

2) Processor

3) SSD Storage

To store your data, you need an SSD that provides enough space to keep it. Your data is only as fast as where its stored. For a data scientist, 256 GB of SSD is a decent choice.

4) Graphics card/GPU

5) Display

We recommend picking a minimum display size of 13.3-inch FHD. Many pro data scientists recommend going for a 15.6-inch FHD display.

6) Battery

Apple Macbook Pro Mptt2ll/a

Asus on Behance in 2021

This laptop has a large memory, which is great for data science work. It has 2 USB Type-A ports, an HDMI port, and 2 Thunderbolt Type-C ports.

The retina display is perfect for data visualization with its 500 nits of brightness. The laptop also comes with the Apple Tv app, which is great for streaming data projects onto a larger screen.

This computer weighs in at four pounds, making it slightly heavier than some of the other laptops on this list, but it’s still portable enough to take with you when traveling or working from home or in coffee shops.

CPU And GPU

The Intel Core i9-series processors with Turbo Boost up to 4 cores and 8 threads make this laptop perfect for data science work that requires heavy processing.

The Radeon Pro 5500M graphics card included in the MacBook Pro is also great for data visualization and can handle most data analysis tasks with ease.

RAM And Storage

The 16GB of RAM included in this laptop is perfect for data scientists who need a lot of memory to work with large data sets.

The storage space on this device is also generous at 1 TB SSD, which will be more than enough room for most data science projects.

Display And Built Quality

This data science laptop has a stunning display with its 3072×1920 resolution, which makes data visualization easier thanks to how sharp and crisp the picture is.

Keyboard And Touchpad

Ports And Connectivity

Weight And Battery Life

Our Verdict

CPU And GPU

RAM And Storage

Display And Built Quality

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Best Laptop For Data Science Buying Guide

As a data scientist, I need a powerful laptop because of the nature of the tasks I need to handle. In most cases, I have to simultaneously manipulate massive datasets of huge spaces. I also have to rely on my laptop to run complex algorithms on the datasets I collect. I also need to build a predictive model for my data and generate hypotheses for data changes. All these on one laptop can cause my laptop to lag or have some other serious problems if they are not the right ones.

Therefore, before I bought the laptop I use for data science, I considered the following factors to ensure the best performance as far as data science is concerned. These considerations ensure efficient machine learning, data analysis, data processing, deep learning, and artificial intelligence in a laptop. The factors are as listed below.

Graphics Processor Core And Speed

The graphics processors speed and performance in data science laptops are very important. GPUs were built to offer better quality data computations and optimization, making them ideal for data science. Although the best graphics cards are found in gaming laptops, you can also find them in mobile workstations. Generally, NVIDIA Geforce GTX and RTX cards are the best.

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Red Hat Openshift Data Science

Red Hat OpenShift Data Science is a RedHat-provided cloud service that offers Data Scientists a stable environment in which to work. It is supported by Red Hat teams, and offers a curated list of Jupyter Notebook images for Data Scientists to use.

It currently can be deployed on either OpenShift Dedicated on AWS, or Red Hat OpenShift on AWS. More platforms and options will follow in future releases.

Curated list of Jupyter Notebooks

RHODS includes multiple Jupyter Notebook Images that let you easily and painlessly use frameworks such as Pytorch, Tensorflow, etc…. These Jupyter Notebook images are kept up to date so that data scientists can always have the latest and greatest software available.

Partner ecosystem for AI/ML

Beyond the Red Hat supported tools that come with RHODS, many partner software will also be available. At time of this writing, this includes:

And the list will keep growing in the coming months

Wider Red Hat Marketplace

Beyond the RHODS partner ecosystem, there is also a lot of software available on the Red Hat MarketPlace.

Vertical Scalability

Another advantage of using Jupyter Notebooks on OpenShift is that you can easily resize your working environment. In the cloud, the sky’s the limit . If you have very large nodes in your cluster, you can use Jupyter Notebooks that can be very large in size.

Horizontal Scalability and Auto-Scaling

Choosing The Best Laptops For Data Science

Best Laptops For Data Science in 2021!

As you can see, there are many things to think about when choosing a laptop for data analysis, but hopefully, weve shown some things to think about and given you some new ideas.

Not many people think about using the 2 in 1 laptop for data science, but we believe they are reasonably underrated for this type of work.

You might want to check out some other laptop buyers guides because often theres a lot of overlap, for example, laptops that are good for gaming are also suitable for data science and vice versa:

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