The Best Computer for Data Science Beginners

In this video, I give you my thoughts on the best computer for data science beginners. I talk about the hardware components of a computer and how those relate to your data science performance. At the end, I give my thoughts on the best computer for you to purchase. The cpu is in charge of the processing power of the computer. It mostly controls how fast processing for normal data science operations is. The ram stands for random access memory. It determines how much data can be processed in a single batch. You will also need a hard drive. I recommend stead state memory. This doesn't have much impact on performance of your models, so you don't need to go crazy here. This is the cheapest type of memory though so you can scale up at a low cost. The last main component that is relevant for data science is the GPU. NVIDIA recently sent me a Titan RTX, and I am excited to be experimenting with that in future videos. For deep learning, you should really have at least 6 gb of gpu memory. If you are playing graphics intensive games or editing videos, I recommend increasing this further. My final recommendation: Your computer really doesn't matter much. Data science is done mostly on the cloud making your computer relatively irrelevant. You have access to top of the line GPU's and even TPU's on kaggle.com or through google colab. In my opinion, the best computer for data science is the one that you can afford. If you still want to do something locally, I recommend the following requirements CPU (4 cores): Ryzen 5, 7, 9 should suffice Ram: Minimum 8gb but 16 is preferred HD: 256gb GPU: NVIDIA with 6+ GB of memory (4 + gb if if laptop) My laptop: https://amzn.to/2W3Zh4E Budget PC Parts CPU: Ryzen 5 ($150) https://amzn.to/38MaLPp RAM: Corsair 16gb ($75) https://amzn.to/38FfiTV HD: WD SSD 480 GB ($55) https://amzn.to/3fgdUcR GPU: GTX 1660 ($230) https://amzn.to/3iNaUqx Total: $510 (before case, motherboard & power supply ~$200) Mid Tier PC Parts CPU: Ryzen 7