However, getting a machine with a good amount of SSD would burn a hole in your wallet. However for the purpose of this guide, the intel i5, 7th generation would be the minimum requirement while the i7, 7th generation would be the ideal recommendation. Once you have the RAM and GPU in check, the processor should come right along with the machine you are selecting. With that being said, you can opt for the NVIDA 960 series and above.
Mac or windows for data science code#
If you want to use a machine that is powered by an AMD or Intel HD GPU you need to be prepared to write a lot of low level code in OpenCL. This is because most deep learning libraries (Theano, Torch, Tensorflow) use the CUDA processor which compiles only on NVIDIA processors. I cannot stress upon the importance of an NVIDIA GPU when it comes to choosing your machine. Personally, 8 gigs of RAM works just fine if you build your algorithms very efficiently and you can put your machine on sleep mode while it takes its times to compute. However 16 GB of RAM is recommended for faster processing of neural networks and other heavy machine learning algorithms as it would significantly speed up the computation time. The minimum ram that you would require on your machine would be 8 GB. With that said, let's identify the minimum requirements that you would require when it comes to a laptop worthy of being called a data scientist's weapon of choice.
Huge datasets these days have outgrown the processing power of a single machine and will depend on you accessing the cloud for processing, in which case portability is going to be of value to you. The next thing to note is that with higher power the battery life also shrinks and as a result you are losing out on portability yet again. The higher the processing power the heavier the laptop gets and hence it's portability is reduced and vice versa. When it coms to choosing the right machine you usually have to choose between two factors:
Mac or windows for data science upgrade#
If you're someone who's just entered the world of data or if you're a veteran data scientist that needs an upgrade on his/her local machine this post will provide you with the comprehensive guide that is necessary to make the right choice when it comes to buying a machine that is capable of handling your data-sets. Data Analysis, Machine Learning model training and the like require some serious processing power.
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