updated post, ml-1

RCmags · RCmags · commit 75b28cfb1093 · 2024-06-09T12:53:53.000-04:00
diff --git a/collections/blog/Research/_posts/2024-06-08-machine-learning-1.md b/collections/blog/Research/_posts/2024-06-08-machine-learning-1.md
@@ -20,4 +20,4 @@ The course focused on Keras (despite claiming its focused on tensorflow), which
 
 ![image](/img/machine-learning/framworks.jpg)
 
-For a beginner this familiarity feels a lot simpler and easier to understand. A more tecnical comparison between the two libraries can be found here: [Pytorch vs Tensorflow](https://realpython.com/pytorch-vs-tensorflow/). Instead of using Python it's also possible to use Julia, but its ecosystems seem smaller and less newbie friendly than their python equivalents. The [pre-compiled](https://julialang.github.io/PrecompileTools.jl/stable/) nature of Julia can pose a benefit for re-running code efficiently, but that's an optimization that seems irrelevant for student learning through small projects. As a beginner, it makes more sense to stick to what's popular due to the plethora of answered questions that can be found online.
+For a beginner this familiarity feels a lot simpler and easier to understand. A more tecnical comparison between the two libraries can be found here: [Pytorch vs Tensorflow](https://realpython.com/pytorch-vs-tensorflow/). Instead of using Python it's also possible to use Julia, but its ecosystems seem smaller and less newbie friendly than their python equivalents. The [pre-compiled](https://julialang.github.io/PrecompileTools.jl/stable/) nature of Julia can benefit re-running code, but that's an optimization thats irrelevant for a student learning through small projects. As a beginner, it makes more sense to stick to what's popular due to the plethora of answered questions that can be found online.

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`@@ -20,4 +20,4 @@ The course focused on Keras (despite claiming its focused on tensorflow), which`
`20`	`20`
`21`	`21`	`![image](/img/machine-learning/framworks.jpg)`
`22`	`22`
`23`		-For a beginner this familiarity feels a lot simpler and easier to understand. A more tecnical comparison between the two libraries can be found here: [Pytorch vs Tensorflow](https://realpython.com/pytorch-vs-tensorflow/). Instead of using Python it's also possible to use Julia, but its ecosystems seem smaller and less newbie friendly than their python equivalents. The [pre-compiled](https://julialang.github.io/PrecompileTools.jl/stable/) nature of Julia can pose a benefit for re-running code efficiently, but that's an optimization that seems irrelevant for student learning through small projects. As a beginner, it makes more sense to stick to what's popular due to the plethora of answered questions that can be found online.
	`23`	+For a beginner this familiarity feels a lot simpler and easier to understand. A more tecnical comparison between the two libraries can be found here: [Pytorch vs Tensorflow](https://realpython.com/pytorch-vs-tensorflow/). Instead of using Python it's also possible to use Julia, but its ecosystems seem smaller and less newbie friendly than their python equivalents. The [pre-compiled](https://julialang.github.io/PrecompileTools.jl/stable/) nature of Julia can benefit re-running code, but that's an optimization thats irrelevant for a student learning through small projects. As a beginner, it makes more sense to stick to what's popular due to the plethora of answered questions that can be found online.