Do you know the average configuration laptop can make your performance average? .No kidding it’s true! especially Data Science Environment involves complex computations. Mostly Deep learning platform like tensor flow etc needs GPU to perform well. Therefore, Replacing your old laptop could be a great deal. I am also a data scientist and When I stuck in searching for the best laptop for me. I decided to share the solution with everybody. So this article will cover Top 5 Laptop for Data Scientist and Developers for this time.
Here you will get a big variety and range of data science laptops. All have different prices and features. You can always make the list for good to have features and must-have features in laptop selection. So while preparing this list we have to shortlist only that laptop which contains at least must-have features. On top of it, If it has a higher cost ( like Mac Book Pro ), It has features that can make your life awesome ( good to have ).
I personally love Mac Book Pro. Even I am a Mac Book Pro user. I never recommend going through my personal preference. In fact when you see its configuration. You will come to know why it is one of the best Laptop for Data Scientist. Here are some details for Mac Book Pro configuration is –
RAM not up-gradable.
Top growing laptop available in the market. MSI is capturing the market very fast with its amazing products. Here are the detailed description of this data science laptop-
It’s not that costly as Mac Book Pro but it has all those must have a feature which a data scientist need while his work. Here are the configuration details for Asus ROG Strix GL702VM-DB71 –
Frankly speaking, It has Average speakers. The battery life is also average.
1. Microsoft Surface Pro is very light weighted. It has 0.77 Kg in weight only.
2. Microsoft Surface Pro has a stylus pen. This pen is considered as the fasted pen of this time. This can ease every data scientist while designing. ( Maybe not available on newer version )
3. Microsoft Surface Pro has 1 USB 4.0,1 micro-SD card slot and displays port.
4. Actually this series has many laptop model variants. So while purchasing you can choose the configuration as per your need.
5. It has an awesome battery backup.
The price is very high.
It’s quite heavy. Although It happens when you have a larger screen.
This laptop has a TN display. All of the above mention laptops are having the best viewing angle display. Here this laptop is a little behind. Although It has a good display and sufficient for data science work.
Processor: 12th Generation Intel Core i5-12450H Up To 4.40GHz
Operating System: Pre-loaded Windows 11 Home with lifetime validity |Preinstalled Software: Nvidia GeForce Experience Nahimic 3 MSI Center Gaming Mode MSI App player | In the box: Laptop, Adapter
Display: 40CM FHD (1920*1080), 144Hz 45% NTSC IPS-Level
Memory & Storage: 8GB*2 DDR4 3200MHz RAM, expandable to 64 GB | Storage: 512GB NVMe PCIe Gen4x4 SSD
Dedicated Graphics: NVIDIA GeForce RTX 3050ti GDDR6 4GB
If you are a game developer or animator or big data analyst or data scientist, You need more. The reason is very clear. Generally, Every machine learning ( or above mention use type ) code involves many inline machine instruction than usual programming. Although the code size for a machine learning problem is small. The reason is we use some framework while writing code. Therefore, we need to just call a function as define in the library and framework. Actually when you see the Inline machine-level code. It has high complexity hence more computation.
See. When you need to perform multi instruction per machine cycle, you need a multi-core processor and supportive RAM. Even if you have high-performance multi-core CPU and supports up to date RAM but with HDD. Your overall performance will be slower because HDDs have slower Input output operations. Nowadays SSDs are the latest and fast for storage. When you put altogether then you will get great performance.
It’s my personal experience of running a TensorFlow code on My Lenovo G50 with I5 and 8 GB RAM with RADEON GRAPHICS. It usually takes 10 minutes to train the model. While when I switch into MacBook Pro it starts finishing the same training of model in 5 minutes and 34 seconds. So I saved 4 minutes and 43 seconds at each iteration.
As a data scientist, I need to perform such operations at least 12 times a day. So on round off, it helps me in saving my 45 minutes every day. It’s not a completely accurate calculation but almost accurate.
See this list of best laptop for the data scientist is dynamic. If any new release comes into the picture, we update the content. So at the time of reading this article if you think there should be some change in the list, please let us know. In case if you have any other suggestions please write into the comment box.
The list for Top 5 Laptop for Data Scientist. This list is completely based on my personal opinion and experience about the topic.
Thanks
Data Science Learner Team.