Most processes like machine learning and management and others that constitute data science are dynamic and need powerful processors. In fact, these are projects that are sometimes accomplished using supercomputers that are fast and reliable. It even becomes complicated when an expert has to deal with many clients at the same time. With the data scientist consulting rates going down, the number of organizations that want to embrace data science is on the rise. Therefore, the experts need to have computers that ensure they are up to the task. When looking for such a laptop, here is how to choose one.
Data science experts are usually on the go rather than sitting in the office throughout the week. Machines with higher processing powers and long-lasting batteries have no option other than to compromise on weight. Striking a balance between high processing power and portability is tricky.
However, innovators are working hard to come up with small yet powerful batteries and processors alike. Additionally, big data cannot be handled by a single machine and cloud services have taken precedence. This means that you can have a portable machine and still access data from anywhere for processing.
The RAM, GPU, and the processor make a crucial combination that gives your laptop of choice the processing power you need. You cannot afford to have one of these factors dragging the others backward. According to experts, 16 GB of RAM is ideal especially if one is dealing with resource-heavy applications. If 16 GB of RAM is not possible, 8 GB will do if the algorithms are in perfect shape.
The GPU is an important aspect to consider. What most experts do not know is that a CUDA processor, which is used by deep learning programs like TensorFlow, only works best with an NVIDIA GPU. Just to be on the safe side, do not go for anything else. If you are in the technology industry, do not go for anything less than the latest generation Intel i5 processor. If possible, go for the Intel i7 processor, which is the best.
When it comes to choosing a laptop, most people do not pay attention to what OS it can accommodate. Tech experts in data science think otherwise since it greatly affects them. Ordinary operations will go well with Windows or Mac OS, but data experts will always be at their best with Linux. You can run Linux parallel to the other operating system on your laptop without any challenges at all.
With cloud solutions, storage will not be a major challenge. However, one will not invest in such a powerful machine only to have a small storage drive. So, why not consider a 1TB SSD? The data that needs to be processed is increasing by the day, and also the software you run will require ample space to run and operate efficiently.
With the above tips at your fingertips, there are numerous options out there. As long as the laptop suits the specifications that you need, the brand remains your personal choice, or you should let it be dictated by your budget. However, these are high-end machines and will be relatively high in price.