Now that we’ve cleared up the misconception that you need the best GPU on the planet to start in Machine learning, there is one more thing we need to address. What Are The Best Laptop For Machine Learning and Data Science? In that case, it makes way more economic sense to lease out the computation to a cloud provider (for pennies on the dollar) than spend thousands of dollars on a desktop setup. Suppose you ever run into a situation where the computation is too much for your laptop (which will sometimes happen). You do not need a desktop computer in 2022 for machine learning. With these services, you have all the power of a desktop with the mobility of a laptop – for a much lower cost. Thus, if you ever need to kick your machine learning analysis into overdrive and use powerful GPUs for complex models and large datasets, it’s much easier to connect your laptop (through the internet) to an online cloud provider like Google Cloud, Amazon Web Services, or Kaggle Workbooks. While some laptops offer decent GPUs that can help speed up some of the heavier computations, those can be expensive and require custom fitting. Now, the actual difference between a laptop and a desktop computer is the GPU. Laptops now are comparable in specs to desktop computers, and as battery life has improved in the last five years, they don’t need to be charged every 3 hours. I remember when I was a kid, you had your desktop at your house, and the laptop you used for school could do about 1/10 of your desktop computer.
In the last 15 years, laptops have really blossomed into computation powerhouses. Should I Use a Laptop for Machine Learning? Should I Get A Desktop Instead Of A Laptop for Machine Learning?
0 kommentar(er)
