What will be the #programming_language for machine learning in the next few years?
Now it's #Python, but I would rather wish for better language because:
1- Python it's too slow. it's slower than JS!! to work around this problem we either use #C++ in the backend or use other technologies to Python faster such as Cython PyPy.
2- Doesn't support smooth and real Multiprocessing.
So we need a new programming language that has:
1- Nice syntax and easy to learn
2- Fast enough (at least not slower than #JS) without using complex tools.
3- Numerical computing and machine learning ecosystem
4- (Optional) integrated linear algebra operations such as adding two vectors.
I feel it could be either Julia or Swift
#machinelearning
✴️ @AI_Python_EN
Now it's #Python, but I would rather wish for better language because:
1- Python it's too slow. it's slower than JS!! to work around this problem we either use #C++ in the backend or use other technologies to Python faster such as Cython PyPy.
2- Doesn't support smooth and real Multiprocessing.
So we need a new programming language that has:
1- Nice syntax and easy to learn
2- Fast enough (at least not slower than #JS) without using complex tools.
3- Numerical computing and machine learning ecosystem
4- (Optional) integrated linear algebra operations such as adding two vectors.
I feel it could be either Julia or Swift
#machinelearning
✴️ @AI_Python_EN
As the author states: "work in process and even in an early dirty phase"
But still very cool 🙂
Book: Predictive Models: Visual Exploration, Explanation and Debugging With examples in R and Python By Przemyslaw Biecek
#book #datascience #machinelearning #statistics #programming_language
🌎 Book
✴️ @AI_Python_EN
But still very cool 🙂
Book: Predictive Models: Visual Exploration, Explanation and Debugging With examples in R and Python By Przemyslaw Biecek
#book #datascience #machinelearning #statistics #programming_language
🌎 Book
✴️ @AI_Python_EN