If you’re learning Data Science and Machine Learning, you definitely need a laptop. This is because you need to write and run your own code to get hands-on experience. When you also consider portability, the laptop is the best option instead of a desktop.
In this regard, how much RAM do I need for data science?
8 to 16 GB of Random Access Memory (RAM) is ideal for data science on a computer. Data science requires relatively good computing power. 8 GB is sufficient for most data analysis work but 16 GB is more than sufficient for heavy use of machine learning models. However, cloud computing can be used when RAM is limited.
Then, is i5 enough for data science?
Computer science is about algorithms, concepts,standards and some programming to demonstrate these and, of course, your dissertation. A Raspberry Pi – Wikipedia is more than good enough to do this with so an i5 will certainly be sufficient. Just make sure you have enough storage space.
Is macbook air good for data scientist?
The Macbook Air is a good laptop for data science tasks and applications. It contains an advanced Apple M1 chip for superb processing, a powerful GPU that can accelerate machine learning tasks, and a gorgeous Retina display. There are more powerful options, but the Macbook Air is a solid choice.
Is Ryzen good for data science?
They can boost to 4.2–4.4 GHz and are good matches for even the most powerful GPUs, such as the Nvidia RTX 2070 and above units or the AMD RX-5700 XT video cards. The Ryzen CPUs respond very well to high speed DDR4 SDRAM.
Which processor is best for data science?
You must consider buying newer-generation processors. AMD and Intel processors are the best. AMD 5th Gen and Intel 11th Gen are the latest in the market. Intel 8th Gen or 10th Gen can also be considered.