Bored with Python, should I learn C++? [D]
📰 Reddit r/MachineLearning
Explore C++ for lower-level computing in ML, understanding its benefits and challenges
Action Steps
- Explore C++ basics using online resources like Codecademy or Coursera to understand its syntax and data structures
- Run C++ code snippets to get familiar with its compilation and execution process
- Configure a C++ development environment on your machine to start building small projects
- Test C++ libraries like TensorFlow C++ API or Caffe to see how they can be used for ML tasks
- Compare the performance of C++ and Python for specific ML tasks to understand the trade-offs
Who Needs to Know This
ML engineers and researchers looking to dive deeper into low-level computing may benefit from learning C++, while team members focused on deployment and high-level abstractions may not need this skill
Key Insight
💡 C++ can provide a more detailed understanding of low-level computing in ML, but it requires a significant investment of time and effort to learn
Share This
Ready to dive deeper into #MachineLearning? Consider learning C++ for lower-level computing and understanding the benefits and challenges #ML #Cpp
Full Article
I'm getting pretty bored with Python for ML. With GenAI tools now being able to write very good code, I feel like writing in a high-level language is becoming less interesting to me. Also, it seems like a lot of the focus in ML is shifting toward deployment and inference rather than the architecture or math. I'm not interested in deployment, or what Agentic AI lovers call "building." I want to understand and work with lower-level computing instead.
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